{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5138540007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4125519007,"location":{"name":"San Francisco"},"metadata":null,"id":5138540007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"R\u0026D-ENG-229","title":"AI Infrastructure Systems Engineer","company_name":"Together AI","first_published":"2026-05-14T23:04:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build \u0026lt;strong\u0026gt;fleet automation systems\u0026lt;/strong\u0026gt; that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build \u0026lt;strong\u0026gt;AI Infrastructure Agents\u0026lt;/strong\u0026gt; that automate deployment, root-cause failures, incident triage, and autonomous remediation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop \u0026lt;strong\u0026gt;Fleet Intelligence\u0026lt;/strong\u0026gt; platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build software that maximizes \u0026lt;strong\u0026gt;GPU availability, utilization, performance, and reliability\u0026lt;/strong\u0026gt; across thousands of accelerators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continuously improve deployment velocity, reliability, and operational efficiency through automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; building distributed systems, infrastructure platforms, or large-scale backend software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering skills in \u0026lt;strong\u0026gt;Python, Go, or Rust\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building platforms, automation systems, or developer infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems thinking with the ability to understand problems across hardware and software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for solving complex infrastructure challenges through software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An \u0026lt;strong\u0026gt;automation-first mindset\u0026lt;/strong\u0026gt;—if a task is repeated, your instinct is to build a system to eliminate it.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Bonus Experience\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GPU infrastructure, CUDA, NCCL, NVLink/NVSwitch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;InfiniBand or RoCE networking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bare-metal provisioning and lifecycle management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Large-scale AI training or inference clusters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hardware health monitoring and predictive failure detection\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed storage systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI agents and autonomous infrastructure operations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5138540007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4555544007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4338587007,"location":{"name":"Amsterdam "},"metadata":null,"id":4555544007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"73","title":"AI Infrastructure Systems Engineer (Amsterdam \u0026 London)","company_name":"Together AI","first_published":"2025-04-28T19:00:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hybrid at our office in Amsterdam or Remote in the UK.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilites\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build \u0026lt;strong\u0026gt;fleet automation systems\u0026lt;/strong\u0026gt; that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build \u0026lt;strong\u0026gt;AI Infrastructure Agents\u0026lt;/strong\u0026gt; that automate deployment, root-cause failures, incident triage, and autonomous remediation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop \u0026lt;strong\u0026gt;Fleet Intelligence\u0026lt;/strong\u0026gt; platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build software that maximizes \u0026lt;strong\u0026gt;GPU availability, utilization, performance, and reliability\u0026lt;/strong\u0026gt; across thousands of accelerators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continuously improve deployment velocity, reliability, and operational efficiency through automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements \u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years\u0026lt;/strong\u0026gt; building distributed systems, infrastructure platforms, or large-scale backend software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering skills in \u0026lt;strong\u0026gt;Python, Go, or Rust\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building platforms, automation systems, or developer infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems thinking with the ability to understand problems across hardware and software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for solving complex infrastructure challenges through software.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An \u0026lt;strong\u0026gt;automation-first mindset\u0026lt;/strong\u0026gt;—if a task is repeated, your instinct is to build a system to eliminate it.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Bonus Experience\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GPU infrastructure, CUDA, NCCL, NVLink/NVSwitch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;InfiniBand or RoCE networking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bare-metal provisioning and lifecycle management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Large-scale AI training or inference clusters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hardware health monitoring and predictive failure detection\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed storage systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI agents and autonomous infrastructure operations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4555544007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5152193007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4639518007,"location":{"name":"San Francisco"},"metadata":null,"id":5152193007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"G\u0026A-BOPS-020","title":"Associate, Infrastructure Strategy \u0026 Operations","company_name":"Together AI","first_published":"2026-06-02T15:35:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is rapidly scaling its compute infrastructure across multiple sites and deployment types. The Associate, Infrastructure Strategy \u0026amp;amp; Operations will be the analytical backbone of the Infrastructure Strategy team, powering the research, benchmarking, and operational analysis across the team\u0026#39;s core workstreams, including capacity planning, compute sourcing, vendor evaluation, and site selection.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll be the person who keeps the team organized and well-informed as infrastructure scales, partnering closely with Infra Eng and Finance to ensure timely, data-backed decisions.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support the Infrastructure Strategy team\u0026#39;s planning process by gathering data, running comparisons, and preparing materials and recommendations for leadership reviews.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build internal trackers and dashboards that help the team monitor infrastructure deployments, vendor pipelines, and compute allocations across products and customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and improve the team\u0026#39;s sourcing comparison frameworks across location, vendor, and site evaluation workstreams, in partnership with Finance and Infra Eng.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run analyses to support capacity allocation decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research and evaluate data center sites and energy sourcing options, comparing power availability, connectivity, permitting timelines, deployment readiness, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion process improvements across the Infrastructure Strategy function, collaborating cross-functionally with Engineering, Data, and Finance to design AI-native workflows that streamline operations and automate repetitive analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take on ad hoc analytical projects as priorities evolve, operating with speed and minimal direction.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience in management consulting, business operations, strategy, or a similar analytically rigorous role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Excel/Google Sheets, familiarity with SQL or data visualization tools, and comfort with AI productivity tools (e.g., Claude Code, Codex).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong quantitative skills with a data-driven approach to problem-solving and comfort building analyses from scratch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to learn new domains quickly and operate effectively in unfamiliar territory.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Organized and detail-oriented, with the ability to manage multiple workstreams and keep information current.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear communicator who can present data and comparisons to both technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience at a high-growth startup or AI company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to cloud infrastructure, data center strategy, or GPU/compute procurement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest or background in power markets, energy procurement, and/or hardware.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $140-170K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4044336007,"name":"Infra Strategy","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5152193007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5182998007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4654339007,"location":{"name":"San Francisco"},"metadata":null,"id":5182998007,"updated_at":"2026-10-16T13:27:35-04:00","requisition_id":"276","title":"Commercial Counsel","company_name":"Together AI","first_published":"2026-07-10T17:55:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is looking for a Commercial Counsel to support the deals that drive our growth. You’ll work alongside the Sales, Partnerships, Finance, Product, and Security teams as the legal partner who helps each of them move quickly while keeping risk in view.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;What we sell sits at the core of our customers’ own products, so our commercial deals call for a real understanding of how the technology works. The terms we agree to with customers and partners shape our relationships and our business for years. This role suits a lawyer who wants to be a true business partner to a fast-moving sales organization, rather than working within a narrow contracts lane.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Sales\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the legal point of contact for Sales across enterprise customer deals, managing commercial agreements including master agreements, order forms, data processing terms, security exhibits, and NDAs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Negotiate customer contracts end to end, partnering closely with Sales, Security, Product, and Finance to resolve issues quickly and keep deals moving through the pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise Sales on risk, contract positions, and fallback terms, and manage escalations on non-standard requests such as custom SLAs, data protection obligations, and liability and indemnity terms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the templates, playbooks, and scalable workflows that make Sales deals repeatable, including standard forms, negotiation playbooks, and clear escalation paths.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;Partnerships\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Structure and negotiate go-to-market and partnership deals, including collaboration, reseller, licensing, and co-sell arrangements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Sales, Partnerships, and Product to align partner terms with business goals, customer commitments, and company risk posture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop standard partnership templates and default negotiating positions so routine partner deals can move quickly and consistently.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A JD and an active bar license in good standing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least 5 years in commercial and technology transactions, including substantial in-house time at an infrastructure company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting deals for purchasing compute and critical infrastructure, partner and strategic alliances agreements, and enterprise commercial deals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A working command of data privacy (GDPR, CCPA, HIPAA) and regulatory (EU AI Act, EU Data Act, DORA) regimes and security terms (data processing agreements, security addenda)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with export controls and the regulatory requirements that apply to partners and counterparties, such as the FCPA and other anti-bribery and anti-corruption regimes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A plain-spoken style that makes legal and technical points accessible to non-lawyers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working independently in a small, fast-moving legal team, with sound instincts for what to own, what to escalate, and when to bring in specialized outside counsel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Desire for learning and building with AI tools so you can operate self-sufficiently and at speed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200-230K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062686007,"name":"Legal","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5182998007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5123203007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4625336007,"location":{"name":"San Francisco"},"metadata":null,"id":5123203007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"S\u0026M-CSX-026","title":"Customer Success Engineer (CSE), GPU Cluster","company_name":"Together AI","first_published":"2026-04-30T13:27:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Customer Success Engineer at Together AI, you will serve as the named technical owner for one of our most strategic customer relationships. You will be the primary technical point of contact across all infrastructure domains — compute, networking, storage, and facilities — ensuring flawless delivery and operational health of large-scale GPU deployments. This role sits at the intersection of deep infrastructure expertise and high-stakes customer partnership, making you a critical driver of both customer success and company growth.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the named technical point of contact for a dedicated strategic customer, owning the end-to-end technical relationship across compute, networking, storage, and facilities\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive structured engagement through regular cadences — status reporting, technical steering meetings, quarterly business reviews (QBRs), and executive business reviews (EBRs) — spanning both operational and strategic levels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate customer operational feedback into actionable input for Engineering, Product, and Infrastructure roadmaps\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Lead issue lifecycle management, escalation, and RCA authorship across all infrastructure domains in partnership with Support, SRE, DC Ops, and Engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end RMA coordination and hardware lifecycle management, including acceptance testing, spare inventory management, and hardware health reporting for large-scale GPU deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain deep technical expertise across the customer\u0026#39;s infrastructure stack — GPU compute, high-speed fabric, and large-scale storage systems — advising on configuration, operational best practices, and incident resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the observability strategy for the customer estate, including alert policy definition, dashboard development, and proactive health management across all infrastructure layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate DC operations and facilities events in partnership with internal teams and hosting providers, ensuring SLA compliance and cluster availability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as project manager for all capacity expansions, owning the full node deployment lifecycle from freight receipt through production acceptance\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a customer-facing technical role, with 2+ years in dedicated technical account management or solutions architecture for large-scale AI or HPC infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in GPU infrastructure — GPU health diagnostics, RMA workflows, and hardware acceptance testing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with large-scale Ethernet and InfiniBand fabric architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of enterprise storage systems, including high-density NVMe, parallel file systems, and metadata infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with DC operations, facilities coordination, and hosting provider SLA management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset for incident management, RCA authorship, and executive-level customer communication\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in infrastructure monitoring and observability tooling (Prometheus, Grafana, or equivalent)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to manage multiple concurrent workstreams with hyperscaler-level rigor and communication standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python, Bash, or infrastructure automation tools preferred\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $260-290K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;San Francisco, CA (Hybrid) or New York, NY (Hybrid)\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4062689007,"name":"Customer Success","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5123203007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5160139007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4643353007,"location":{"name":"San Francisco"},"metadata":null,"id":5160139007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"264","title":"Data Center Operations Coordinator","company_name":"Together AI","first_published":"2026-06-11T13:47:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;div\u0026gt;We’re looking for a detail-oriented Data Center Operations professional to manage and track all break/fix activities across multiple data center locations. This role acts as the central point of coordination for hardware incidents, vendor dispatches, ticket management, asset tracking, and operational reporting to ensure maximum uptime and fast issue resolution.\u0026lt;/div\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Track and manage all break/fix incidents across multiple data centers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor ticket queues and ensure SLA compliance for incident response and resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with on-site technicians, remote hands teams, vendors, and engineering groups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain accurate records of failed hardware, replacements, RMAs, and repair status\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Escalate critical outages and recurring infrastructure issues to leadership and engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Schedule and oversee maintenance windows and emergency repair activities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide daily/weekly operational status reports and incident summaries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure all work follows data center operational procedures and change management policies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify trends in hardware failures and recommend process improvements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working in data center operations, IT infrastructure, or hardware support\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of server, storage, and networking hardware\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ticketing systems such as ServiceNow, Jira, or Remedy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to manage multiple priorities across several sites simultaneously\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and organizational skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with SLA management and incident escalation processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with Excel, reporting dashboards, and inventory tracking tools\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Preferred Qualifications\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting enterprise or hyperscale data centers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of remote hands operations and vendor management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of ITIL processes and change management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;CompTIA Server+, Network+, or similar certifications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000-200,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5160139007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238654007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4681185007,"location":{"name":"San Francisco"},"metadata":null,"id":5238654007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"331","title":"Director of Brand","company_name":"Together AI","first_published":"2026-09-15T16:56:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is the AI native cloud, which has been built bottoms up to cater to the demand for the new generation of AI applications and agents. The company has seen tremendous growth with 10X growth year on year and has over a million developers.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As we scale the company, we continue to invest heavily in driving brand awareness and consideration. This new role will be the custodian of the Together AI brand. They will lead brand marketing at Together AI, building and executing the strategy to build the brand. The work will include creating a brand narrative, architecting a campaign and executing the campaign across channels to deliver high impact results. This role will report into the head of marketing and will have the opportunity to own and independently build the brand marketing function at one of the most innovative companies at the forefront of AI.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create the brand narrative, grounded in the vision of the company to provide open, abundant AI and appealing to a technical audience. Collaborate with CEO and other leaders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build brand campaign with messaging, design and channel execution that cuts through the noise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive consistency of brand messaging and look \u0026amp;amp; feel across marketing assets and channels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead inhouse and vendor design resources\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Come up with objective goals on how to measure brand awareness and sentiment, and establish a brand tracker\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide and influence thought leadership content that product marketing builds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the budget for brand awareness and identify top-performing levers to scale\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture to experimentation to try new ideas that can help us scale further at the right ROI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years leading brand and creative teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has seen great by building high impact brand campaigns in B2B marketing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and ability to build something from ground up\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing budgets for brand campaigns\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills with a data-driven approach to decision-making and reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferably worked as brand director across both agency and client side\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, reinforcement learning to create specialized models, and pre-training for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves over 400 trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $250-295K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062690007,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238654007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5266277007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4694041007,"location":{"name":"San Francisco"},"metadata":null,"id":5266277007,"updated_at":"2026-10-15T17:58:10-04:00","requisition_id":"343","title":"Director of Investor Relations","company_name":"Together AI","first_published":"2026-10-15T17:58:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As Director of Investor Relations at Together, you will own the company\u0026#39;s relationships with its investors and shape how the equity capital markets understand Together\u0026#39;s business, strategy, and long-term opportunity. Reporting to the VP of FP\u0026amp;amp;A, and partnering closely with the CEO, CFO, and executive team, you will be responsible for building our investor engagement strategy and investment narrative.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will also own the core planning and reporting work that underpins our investor story: board reporting, the long-range plan, and the KPIs we use to run and describe the business. This hybrid investor relations and FP\u0026amp;amp;A role will provide deep and unique insight into building and scaling an AI inference company.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, high-ownership role in a lean function: you will build investor relations at Together largely from the ground up. This role is well suited to someone with analytical rigor and a background in equity capital markets who follows developments in technology and AI closely. You will be responsible for deeply understanding investors\u0026#39; perspectives on Together as well as the broader industry, bringing strategic insights to leadership to help inform key decisions. Strong candidates pair depth in financial analysis with the ability to distill sophisticated financial and technical concepts into clear and concise investor narratives.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Investor Relations\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as a key point of contact for Together\u0026#39;s equity investors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Play a leading role in primary and secondary fundraising processes alongside the CFO and CEO, including building investor materials, running the data room and diligence process, coordinating investor meetings, and managing the process through close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and sharpen Together\u0026#39;s investment narrative, showing how our technology, business model, infrastructure footprint, and financial profile add up to a compelling long-term thesis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the reporting cadence and package for equity investors. Manage ongoing investor communications and requests, including regular investor reporting, ad hoc requests, and follow-ups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise leadership on investor sentiment, market expectations, and how key decisions are likely to be received\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a view of Together’s current and prospective shareholder base and how it should evolve, leading investor targeting and outreach accordingly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare the CEO, CFO, and executive team for investor and board conversations by anticipating questions, sharpening key messages, and providing the supporting data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track developments across AI, cloud infrastructure, and equity capital markets, including peer fundraises, valuations, and investor sentiment, and translate them into concise insight for leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Planning \u0026amp;amp; Reporting\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the quarterly board reporting package, working with finance and functional leaders to present a clear, accurate picture of the business\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run the long-range plan, including the fundraise and valuation models that connect the company\u0026#39;s capital needs to its operating plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help define and evolve our monthly KPI reporting, establishing the metrics leadership and investors use to understand performance and benchmark against peers and competitors\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in investor relations, growth equity, venture capital, equity research, investment banking, or a comparable equity capital markets role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional written and verbal communication skills, with the ability to distill complex financial and technical topics into sharp, credible messages for sophisticated investors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A deep understanding of equity capital markets and how investors evaluate high-growth, capital-intensive companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with, or demonstrated interest in, AI and cloud infrastructure business models, such as GPU capacity economics, usage-based revenue, and infrastructure capex\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to build and maintain financial models, and to translate financial statements and operating metrics into a defensible view of a business\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sound judgment handling confidential information, with the discipline to know what should be shared, when, and with whom\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working directly with company executives, board members, and senior investors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong work ethic and self-direction, with the creativity and problem-solving instincts to tackle novel questions where there is no established playbook\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience executing late-stage private fundraises, from either the company or the investor side\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with consumption-based revenue or large-scale infrastructure business models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 265-310K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4046768007,"name":"Finance","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5266277007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5210729007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4667940007,"location":{"name":"San Francisco"},"metadata":null,"id":5210729007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"289","title":"Director of Technical Accounting","company_name":"Together AI","first_published":"2026-08-13T12:57:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re seeking an exceptional technical accounting leader to establish and scale our technical accounting function as we grow. This is a rare opportunity to define accounting policy and financial reporting standards across a high-growth, dynamic environment, partnering with a world-class team, while ensuring rigorous quarterly, annual, and ad hoc investor reporting as a private company.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Technical Accounting\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain U.S. GAAP policies across complex areas, including revenue recognition (ASC 606), leases (ASC 842), fixed assets (ASC 360), debt/financing (ASC 470/835), business combinations (ASC 805), equity/stock compensation (ASC 718, ASC 505), and collaborative arrangements (ASC 808)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as subject matter expert on complex transactions, including structured financing, equipment financing, and customer contracts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Revenue Accounting on revenue recognition for usage-based, subscription, and enterprise contracts, and evaluate the accounting treatment for collaborative arrangements, including co-development and joint go-to-market deals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with lease accounting and capitalization policy for data center, colocation, and equipment arrangements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise on equity transactions (stock issuances, SAFEs, convertible instruments, stock-based compensation) and strategic investments/joint ventures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Draft technical accounting memos for significant transactions and non-standard deal structures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor and implement new accounting standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Legal, Tax, FP\u0026amp;amp;A, Strategic Finance, and other teams on accounting implications of new contracts and transactions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the monthly, quarterly, and annual close process for technical accounting areas, including review of complex and judgmental journal entries and account reconciliations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Investor Reporting and Financial Statement Audit\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead quarterly, annual and ad hoc investor financial reporting packages\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with FP\u0026amp;amp;A, Legal, and Investor Relations to ensure clear, accurate disclosures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support ad hoc reporting tied to fundraising, board reporting, or strategic transactions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead preparation of annual consolidated financial statements and manage the annual audit process, including coordination with external auditors\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;SOX \u0026amp;amp; Internal Controls\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Help lay the foundation for the Company\u0026#39;s future SOX program, including initial risk assessment and control design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop internal control processes to support long-term audit readiness\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with external auditors on control-related discussions and early readiness efforts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster awareness of strong internal controls across Accounting, FP\u0026amp;amp;A, and other teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Process, Systems \u0026amp;amp; Ad Hoc Projects\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build scalable technical accounting processes and documentation standards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Core Accounting, FP\u0026amp;amp;A, and Systems teams on close processes and automation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead or support ad hoc projects, including new initiatives and process improvements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Accounting, Finance, or related field required; CPA required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;12+ years of progressive accounting experience, ideally a mix of Big 4 and in-house, with experience building/scaling a technical accounting function\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise across ASC 606, 842, 360, 470/835, 805, 718, 505, and 808\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with investor-facing reporting, ideally at a high-growth or late-stage private company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in high-growth tech or AI infrastructure preferred; familiarity with usage-based/subscription models, hardware-inclusive business models, and data center compute infrastructure a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable operating in a fast-paced, evolving private company environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written communication skills, with experience drafting technical memos and investor-ready disclosures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with emerging accounting issues for AI infrastructure companies (e.g., compute capitalization, data center leasing, partnership arrangements)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $245k - $300k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4046768007,"name":"Finance","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5210729007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5255618007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4689052007,"location":{"name":"San Francisco or NYC"},"metadata":null,"id":5255618007,"updated_at":"2026-10-05T17:29:45-04:00","requisition_id":"336","title":"Field Marketing \u0026 Community Manager","company_name":"Together AI","first_published":"2026-10-05T17:29:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is looking for a Field Marketing Manager to build and scale our account-based field and in-person community programs across priority markets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will be responsible for developing the strategy, audience, format, and execution of high-impact field programs designed to engage priority accounts, accelerate pipeline, deepen customer relationships, and build authentic technical community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll own programs end-to-end, from identifying the right accounts and developing the event concept to driving attendance, managing the attendee experience, partnering with Sales on follow-up, and measuring business impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a highly cross-functional role for someone who can pair strong strategic judgment with exceptional execution. You should be just as comfortable building an ABM event strategy with Sales as you are selecting a venue, shaping an agenda, managing a vendor, or reviewing the attendee list the day before an event.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;ABM \u0026amp;amp; Account-Based Events\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute an ABM event strategy aligned to priority segments, accounts, pipeline goals, and sales priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop repeatable account-based field programs for priority accounts and segments, including dinners, roundtables, customer gatherings, and other targeted regional programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Sales to identify the right accounts, stakeholders, and moments in the buying cycle for each program.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own account targeting, invitation strategy, registration goals, attendance conversion, and post-event follow-up plans.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure every program has a clear business objective and defined next step for participating accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate program performance based on account engagement, pipeline creation and acceleration, POCs, opportunities, and other meaningful business outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Community Programs\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and scale Together AI’s community event strategy across key markets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop meetups, technical gatherings, workshops, partner programs, and other formats that bring together developers, researchers, AI practitioners, customers, and ecosystem partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with DevRel, Research, Product, Engineering, and other technical teams to develop programming that is genuinely useful and relevant to the audience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify opportunities to partner with customers, investors, technology partners, startups, and community organizations to extend reach and credibility.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build repeatable playbooks while ensuring programs still feel authentic to the local community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;End-to-End Program Ownership\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own programs from strategy through execution, including concept development, audience strategy, venue sourcing, budget, vendors, registration, attendee communications, run-of-show, onsite execution, and follow-up.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage multiple programs simultaneously while maintaining a high bar for quality and attendee experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the broader Events team to support select third-party conferences and industry moments where field, community, or account-based activation can extend the impact of Together AI’s presence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Creative and Brand on event identity, environmental design, signage, swag, and other experience touchpoints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop clear event briefs, timelines, budgets, staffing plans, and cross-functional workbacks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own vendor relationships and negotiate contracts to maximize quality and efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel as needed to support programs onsite.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Measurement \u0026amp;amp; Optimization\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Marketing Ops, Demand Gen, and Sales to ensure programs are properly tracked through Salesforce and our event technology stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build consistent pre- and post-event reporting that shows who attended, account engagement, pipeline impact, and follow-up status.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct post-event retrospectives and turn learnings into stronger future programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use data and qualitative feedback to recommend where we should invest more, change approach, or stop investing.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5–7+ years of experience in field marketing, event marketing, ABM, or a related B2B technology marketing role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing and executing account-based programs in close partnership with Sales.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of how events can support pipeline creation, acceleration, customer expansion, and relationship development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience creating community or experiential programs for technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong project management skills with the ability to independently manage multiple complex programs at once.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional attention to detail and a high bar for attendee experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work effectively across Sales, Demand Gen, Product Marketing, DevRel, Research, Creative, Partnerships, and executive stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable using Salesforce and event/marketing technology to track performance and business impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong judgment and the ability to prioritize opportunities based on expected impact, not simply volume of requests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High agency and comfort operating in a fast-moving environment with ambiguity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel up to 30–40% based on event schedules, including international travel.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is: $170,000 - $195,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062690007,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5255618007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5131941007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4629397007,"location":{"name":"San Francisco"},"metadata":null,"id":5131941007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"S\u0026M-CSX-014","title":"Forward Deployed Engineer (Inference \u0026 Post-Training)","company_name":"Together AI","first_published":"2026-05-07T16:52:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) focused on Inference \u0026amp;amp; Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configuration \u0026amp;amp; Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Post-Training \u0026amp;amp; Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product Feedback Loop: Directly influence our software and model roadmap by surfacing insights from the field. Contribute back to the product where needed to support customer requirements or drive a better experience. Drive early feature and research adoption with strategic logos.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Qualifications\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience: 5+ years in a technical role, with a strong focus on inference systems, open-source LLM deployment, or post-training workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inference Engine Depth: Expert-level, hands-on experience with inference engines (e.g., vLLM, TensorRT-LLM, SGLang); ability to diagnose and resolve performance issues at the engine level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inference Optimization: Deep knowledge of KV cache tuning, speculative decoding, tensor parallelism, pipeline parallelism, and quantization techniques\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Post-Training Knowledge: Hands-on experience with fine-tuning and post-training pipelines, including LoRA, SFT, DPO, RLHF, and GRPO; ability to advise on system design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model Landscape Awareness: Broad knowledge of state-of-the-art open-source models and strong judgment on model selection for specific customer use cases, hardware profiles, and performance targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding Proficiency: Strong Python skills; comfortable working in production environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4062689007,"name":"Customer Success","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5131941007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5199993007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4662728007,"location":{"name":"Singapore"},"metadata":null,"id":5199993007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"282","title":"Forward Deployed Engineer (Inference \u0026 Post-Training) - Mandarin Speaking","company_name":"Together AI","first_published":"2026-08-04T18:25:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Forward Deployed Engineer (FDE) focused on Inference \u0026amp;amp; Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Must be a permanent resident or citizen of Singapore.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Configuration \u0026amp;amp; Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Post-Training \u0026amp;amp; Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product Feedback Loop: Directly influence our software and model roadmap by surfacing insights from the field. Contribute back to the product where needed to support customer requirements or drive a better experience. Drive early feature and research adoption with strategic logos.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Requirements\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience: 5+ years in a technical role, with a strong focus on inference systems, open-source LLM deployment, or post-training workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inference Engine Depth: Expert-level, hands-on experience with inference engines (e.g., vLLM, TensorRT-LLM, SGLang); ability to diagnose and resolve performance issues at the engine level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inference Optimization: Deep knowledge of KV cache tuning, speculative decoding, tensor parallelism, pipeline parallelism, and quantization techniques\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Post-Training Knowledge: Hands-on experience with fine-tuning and post-training pipelines, including LoRA, SFT, DPO, RLHF, and GRPO; ability to advise on system design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model Landscape Awareness: Broad knowledge of state-of-the-art open-source models and strong judgment on model selection for specific customer use cases, hardware profiles, and performance targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coding Proficiency: Strong Python skills; comfortable working in production environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4062689007,"name":"Customer Success","child_ids":[],"parent_id":null}],"offices":[{"id":4029318007,"name":"Remote","location":"Remote","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5199993007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5178712007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4652312007,"location":{"name":"San Francisco"},"metadata":null,"id":5178712007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"272","title":"GTM Engineer","company_name":"Together AI","first_published":"2026-07-02T13:09:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a skilled GTM Engineer to join our team. In this role, you will architect an AI-native tech stack with seamless integrations and build a cohesive, automated engine to drive measurable revenue outcomes. As a builder and systems thinker, you will play a vital role in automating processes, maintaining data integrity, and turning GTM strategy into scalable systems.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect the GTM Tech Stack: Build an AI native tech stack with seamless integrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Centralize Data: Build a cohesive, automated engine that centralizes data in CRM and eventually data warehouse (Salesforce, Hubspot, Snowflake, Clay, Claude Cowork).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own Data Integrity: Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Turn Strategy into Systems: Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead CPQ System Design: Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize Conversions: Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement Governance: Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve Deal Velocity: Improve deal velocity by streamlining approvals, leveraging Salesforce CPQ (Revenue Cloud).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate CLM Tools: Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automate Bottlenecks: Identify repetitive work across the GTM org - account research, CRM hygiene, post-call follow-ups - and replace it with intelligent automation using APIs, webhooks, and AI agents.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience: Have 3–5+ years of experience operating in a Growth, GTM Engineer, or Revenue Operations role. Open to candidates that have a technical background that have worked with a GTM team in other capacities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Systems Thinking: Are a builder and systems thinker: You want to build moonshot ideas, not just toggle settings. You see the GTM stack as an interconnected machine, not a collection of point solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Salesforce Expertise: Have Direct experience with Salesforce — you know the data model, you\u0026#39;ve built on it, and you\u0026#39;re comfortable owning CRM-level changes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GTM Fluency: Are GTM-fluent: You understand the GTM funnel - not just the data model, but the logic behind every stage. You know what actually converts pipeline because you\u0026#39;ve worked in or alongside GTM teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quote to Cash Configurations: Strong working knowledge of quoting tool configurations and CLM (pricing rules, product bundles, approval chains).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execution \u0026amp;amp; Ownership: Constant iteration: Be a Kaizen methodology champion by building, shipping and iterating fast. You thrive in ambiguity, operate with high ownership, and move fast without waiting for perfect requirements. But you know when to slow down and ensure you’re shipping the highest quality work possible.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Capability: Are technically capable: Comfortable working with APIs, webhooks, data integrations and can navigate technical documentation without hand-holding.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience at a fast-moving B2B SaaS / AI startup or strong familiarity with the AI tooling ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with Salesforce and Clay, bonus points for building data warehouses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior quoting tool and CLM implementation experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing enrichment and outbounding process and managing complex data sourcing across multiple providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience centralizing selling signals from multiple data sources into a single location.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have technical familiarity with GTM \u0026amp;amp; automation tools (Salesforce, HubSpot, CPQ, Ironclad, Clay, Gong, Apollo, Clari, APIs, webhooks, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;As our ideal candidate, you will be part engineer, part hacker, with a passion for cybersecurity and a drive to protect our systems from evolving threats.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160K-190K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062691007,"name":"Revenue Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5178712007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238469007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681077007,"location":{"name":"San Francisco"},"metadata":null,"id":5238469007,"updated_at":"2026-10-16T00:33:08-04:00","requisition_id":"326","title":"Hardware Security Engineer Intern (Summer 2027)","company_name":"Together AI","first_published":"2026-10-16T00:31:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, working with components like BMCs, TPMs, secure boot chains, and device and workload identity systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support secure platform lifecycle work such as device onboarding, provisioning, inventory, and configuration validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prototype AI-assisted security tools for tasks like asset classification, anomaly detection, or detection-and-response workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share your findings with the team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own a well-scoped project from start to finish with mentorship from experienced engineers, delivering clean, well-documented code and presenting your results at the end of the internship.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree (or equivalent) in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills with a proficiency in Python or bash\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to building AI-assisted applications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior security engineering experience through internships, hackathons, or projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coursework, projects, research, or internship experience in hardware security, embedded security, platform security, computer architecture, or secure systems design\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program spans over twelve weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are May 18th to August 7th or June 15th to September 4th.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58. Our hourly rates are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238469007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238471007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681079007,"location":{"name":"San Francisco"},"metadata":null,"id":5238471007,"updated_at":"2026-10-16T00:32:37-04:00","requisition_id":"327","title":"Hardware Security Engineer, New Grad (2027)","company_name":"Together AI","first_published":"2026-10-16T00:32:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build AI-assisted security applications for asset classification, anomaly detection, and detection-and-response workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with IT and infrastructure teams to implement and enforce identity, access-control, endpoint, and privileged-access security practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research and evaluate emerging technologies such as confidential computing, remote attestation, hardware roots of trust, and secure device management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write clean, well-documented code, technical designs, test plans, and security findings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills with a proficiency in Python or bash\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to building AI-assisted applications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior security engineering experience through internships, hackathons, or projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coursework, projects, research, or internship experience in hardware security, embedded security, platform security, computer architecture, or secure systems design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with one or more of the following: Microcontrollers, FPGA development, board bring-up, JTAG/SWD debugging, serial interfaces, SPI, I2C, UART, PCIe, or Ethernet\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $140,000 - $150,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238471007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5171124007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4648733007,"location":{"name":"San Francisco"},"metadata":null,"id":5171124007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"S\u0026M-PTR-003_New","title":"Head of Distribution Partnerships","company_name":"Together AI","first_published":"2026-06-26T14:19:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI-native cloud — the fastest inference infrastructure on the planet, paired with a model ecosystem, orchestration layer, and data center footprint that enterprises and frontier labs depend on. As we expand the surface area through which our models and inference reach end users, we\u0026#39;re hiring a Head of Distribution Partnerships to source and build the 0-to-1 partnerships that drive token distribution from models served on Together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a builder role for someone with sharp technical instincts and a strong product-partnerships background who can identify where Together\u0026#39;s competitive edge in open-source model serving complements another platform\u0026#39;s distribution — and then go build that relationship from scratch. You\u0026#39;ll work across technology partnerships, co-sell motions, ISV integrations, and OEM arrangements with data platforms, cloud providers, and software ecosystems where our inference and OSS model serving capabilities create obvious joint value.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You need technical fluency to scope integrations with engineering counterparts, product instincts to identify where Together\u0026#39;s serving stack creates a compelling wedge, and the hustle to turn a cold outreach into a signed, launched partnership. You\u0026#39;ll report into the VP of Strategic Partnerships and work closely with Product, Engineering, Marketing, and the broader Partnerships team.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities \u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Source and Build 0-to-1 Partnerships: \u0026lt;/strong\u0026gt;Identify and prioritize distribution partners — data platforms, cloud marketplaces, ISVs, and software ecosystems — where Together\u0026#39;s open-source model serving and inference performance is a differentiated fit. Build these relationships from first contact through signed agreement and launch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Structure Technical \u0026amp;amp; Commercial Integrations: \u0026lt;/strong\u0026gt;Design partnership structures across technology integrations, co-sell arrangements, ISV partnerships, and OEM deals. Scope technical integration requirements directly with partner engineering teams and negotiate the commercial terms alongside them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the Partner Lifecycle: \u0026lt;/strong\u0026gt;Manage the full arc of a partnership — pipeline generation, technical scoping, commercial negotiation, legal review, launch, and ongoing account growth — with less structure and more ambiguity than a mature partner program.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Translate Product Fit into Partner Value: \u0026lt;/strong\u0026gt;Work closely with Product and Engineering to understand where Together\u0026#39;s model serving and inference capabilities offer a genuine wedge into a partner\u0026#39;s ecosystem, and translate that into a partnership pitch that resonates with partner stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Joint Go-to-Market: \u0026lt;/strong\u0026gt;Partner with Marketing and Sales to build joint co-sell motions, marketplace listings, and case studies that demonstrate real distribution impact from launched partnerships.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements \u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience: \u0026lt;/strong\u0026gt;At least 5 years in product partnerships, business development, or technical alliance management, ideally at an infrastructure, developer tools, or platform company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;0-to-1 Builder Mentality: \u0026lt;/strong\u0026gt;Track record of sourcing and closing partnerships from scratch — comfortable with ambiguity, cold outreach, and building process where none exists yet.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Acumen: \u0026lt;/strong\u0026gt;Enough technical depth to scope integrations directly with engineering counterparts — APIs, SDKs, model serving, or infrastructure integrations — without needing a technical partner in every conversation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Commercial Structuring: \u0026lt;/strong\u0026gt;Experience negotiating technology partnership agreements, co-sell frameworks, ISV/OEM arrangements, or marketplace integrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;High EQ \u0026amp;amp; Self-Starter: \u0026lt;/strong\u0026gt;Comfortable operating with significant autonomy, building trust with partner stakeholders quickly, and prioritizing across a broad and evolving partner landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience partnering with or working inside data platforms, cloud marketplaces, or enterprise software ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in AI infrastructure, model serving, or inference, or strong familiarity with the open-source model ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with marketplace private offers, co-sell motions, or consumption-based commercial models.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 300 - 350K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/h3\u0026gt;","departments":[{"id":4049151007,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5171124007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5186628007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4656135007,"location":{"name":"San Francisco"},"metadata":null,"id":5186628007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"277","title":"[Junior / Senior / Staff] Software Engineer, Inference / Compute Infrastructure Engineering","company_name":"Together AI","first_published":"2026-07-16T12:58:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You\u0026#39;ll design a manifest-driven API where the inference team declares what they need, whether that\u0026#39;s a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You\u0026#39;ll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The core value we\u0026#39;re after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You\u0026#39;ll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A product mindset - you\u0026#39;ve built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship.\u0026lt;strong\u0026gt;You build it, you own it.\u0026lt;/strong\u0026gt; You are not only responsible for delivering the software but also for operating and supporting it in production.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the provisioning state machine: \u0026lt;/strong\u0026gt;design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the self-service API: \u0026lt;/strong\u0026gt;design declarative APIs and a control plane so the inference team can request, scale, and tear down inference clusters with one API call — no ticket, no human in the loop.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Automate self-healing: \u0026lt;/strong\u0026gt;detect degraded or failed nodes, drain them safely, trigger repair or replacement, and reintroduce healthy capacity into the pool automatically.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own reliability of the pipeline: \u0026lt;/strong\u0026gt;idempotency, retries, rollback, and drift detection so the provisioning system is as dependable as any other production service.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner with the inference/ML platform team: \u0026lt;/strong\u0026gt;understand the cluster shapes they need — topology, interconnect, scheduling constraints — and encode them as first-class abstractions in the platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineer it like software: \u0026lt;/strong\u0026gt;strong typing, automated tests, code review, versioning, and CI/CD for infrastructure code — this is a product, not a collection of Ansible playbooks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Core requirements (all levels):\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering background in Go, Python, Rust, or similar — you write and test real software for a living.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with durable workflow orchestration tools such as Temporal, Cadence, or equivalent to run long-lived, manifest-driven workflows that survive failures and resume mid-execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building software control planes or orchestration systems that model state and reconcile it over time (e.g., Kubernetes controllers/operators, custom reconciliation loops, workflow engines).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with event-driven systems — designing and building software around message queues, event streams, or pub/sub (e.g., Kafka, NATS, SQS) rather than polling or cron-driven scripts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A product mindset. You’ve built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Nice to have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to bare-metal provisioning (PXE/iPXE, Redfish/IPMI, BMC) and/or networking fundamentals (VLANs, BGP, fabric design), or GPU/accelerator infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with GPU cluster software stacks (NCCL, CUDA, InfiniBand/RoCE).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work at a hyperscaler, GPU cloud, or datacenter-scale infrastructure organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Systems programming in Rust or Go.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5186628007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5213322007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4669209007,"location":{"name":"Amsterdam"},"metadata":null,"id":5213322007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"299","title":"Junior/Senior/Staff Software Engineer, Inference / Compute Infrastructure Engineering","company_name":"Together AI","first_published":"2026-08-19T12:12:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Software Engineer to build the systems that treat infrastructure as software. This role owns the software state machines that provision hardware, bring it into service, and manage its full lifecycle — turning racks of GPUs into \u0026lt;strong\u0026gt;running inference clusters\u0026lt;/strong\u0026gt; without a human touching a runbook. The Research and Inference team is your customer: today they file tickets and wait; the target state is that they issue a single API call to stand up, scale, or tear down a cluster, and the system takes care of the rest. The platform is manifest-driven such that teams declare the desired state of a cluster or host — shape, topology, software stack — and the system is responsible for reconciling reality to that manifest, continuously, through every stage of its lifecycle. You will design the engines that manifest the schema, the engines that execute against it, and the workflows that carry a piece of hardware or a cluster from one state to the next—taking it from bare metal to a fully functioning AI cluster for training or inference.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll write production code which is typed, tested, versioned, and deployed through CI/CD that models infrastructure state and reconciles it, the same way a Kubernetes controller reconciles a cluster\u0026#39;s desired state. Success looks like eliminating manual provisioning work, not documenting it better.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;A product mindset - you\u0026#39;ve built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship.\u0026lt;strong\u0026gt;You build it, you own it.\u0026lt;/strong\u0026gt; You are not only responsible for delivering the software but also for operating and supporting it in production.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the provisioning state machine: \u0026lt;/strong\u0026gt;design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the self-service API: \u0026lt;/strong\u0026gt;design declarative APIs and a control plane so the inference team can request, scale, and tear down inference clusters with one API call — no ticket, no human in the loop.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Automate self-healing: \u0026lt;/strong\u0026gt;detect degraded or failed nodes, drain them safely, trigger repair or replacement, and reintroduce healthy capacity into the pool automatically.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own reliability of the pipeline: \u0026lt;/strong\u0026gt;idempotency, retries, rollback, and drift detection so the provisioning system is as dependable as any other production service.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner with the inference/ML platform team: \u0026lt;/strong\u0026gt;understand the cluster shapes they need — topology, interconnect, scheduling constraints — and encode them as first-class abstractions in the platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Engineer it like software: \u0026lt;/strong\u0026gt;strong typing, automated tests, code review, versioning, and CI/CD for infrastructure code — this is a product, not a collection of Ansible playbooks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Core requirements (all levels):\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering background in Go, Python, Rust, or similar — you write and test real software for a living.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with durable workflow orchestration tools such as Temporal, Cadence, or equivalent to run long-lived, manifest-driven workflows that survive failures and resume mid-execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building software control planes or orchestration systems that model state and reconcile it over time (e.g., Kubernetes controllers/operators, custom reconciliation loops, workflow engines).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with event-driven systems — designing and building software around message queues, event streams, or pub/sub (e.g., Kafka, NATS, SQS) rather than polling or cron-driven scripts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A product mindset. You’ve built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Nice to have:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Exposure to bare-metal provisioning (PXE/iPXE, Redfish/IPMI, BMC) and/or networking fundamentals (VLANs, BGP, fabric design), or GPU/accelerator infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with GPU cluster software stacks (NCCL, CUDA, InfiniBand/RoCE).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work at a hyperscaler, GPU cloud, or datacenter-scale infrastructure organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Systems programming in Rust or Go.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;\u0026amp;nbsp;https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5213322007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5090473007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4610092007,"location":{"name":"Amsterdam "},"metadata":null,"id":5090473007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"271","title":"Lead/Manager AI Infra Systems Engineering Team (Amsterdam) ","company_name":"Together AI","first_published":"2026-04-01T04:22:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Lead a team of AI Infra (Systems Engineers) at Together based out of our office in Amsterdam, you \u0026amp;nbsp;and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage, develop and coach the SRE Team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build monitoring systems to ensure the highest quality service for our customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement operational processes (such as deployments and upgrades)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug production issues across all services and levels of the stack\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify improvements for the product architecture from the reliability, performance and availability perspectives\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Plan the growth of Together AI’s infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of professional SRE or related experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ideally 2 years as a Lead SRE\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science or a related field or equivalent work experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in programming/scripting languages\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience in monitoring and observability practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced knowledge of cloud services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5090473007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5145183007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4636050007,"location":{"name":"Amsterdam"},"metadata":null,"id":5145183007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"257","title":"Lead/Manager Together Cloud Infrastructure ","company_name":"Together AI","first_published":"2026-06-02T06:05:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Lead/Manager, you will play a key role in building the Together cloud platform engineering team in the Netherlands.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Some of what you’ll work on:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build out a global management plane for managing our data center compute, networking, and storage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Hybrid working 2 days a week at our offices in Amsterdam\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead/Manage a team of 8 together cloud Infrastructure Engineer in Amsterdam,\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify, design, and develop foundational backend services that power Together’s commerce platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product teams to understand functional requirements and deliver solutions that meet business needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write clear, well-tested, and maintainable software and IaC for both new and existing systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in an on-call rotation to address critical incidents when necessary\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ideally 1-2 years of leading the Infrastructure team.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable background in acquiring talent and retaining talent.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing against and managing a relational database, such as PostgreSQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level programmer in one or more of programming language (Golang preferred)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in version control practices and integrating IaC with CI/CD pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Kubernetes and containers preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5145183007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4385540007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4245330007,"location":{"name":"San Francisco "},"metadata":null,"id":4385540007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"32","title":"Machine Learning Engineer - Inference","company_name":"Together AI","first_published":"2024-06-06T15:12:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is seeking a Machine Learning Engineer to join our\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI!\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and optimize runtime inference services for large-scale AI applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct design and code reviews to ensure high standards of quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create services, tools, and developer documentation to support the inference engine.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement robust and fault-tolerant systems for data ingestion and processing.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience writing high-performance, well-tested, production-quality code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with Python and PyTorch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in building high performance libraries and tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, Optimum\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred: Knowledge of AI inference techniques such as speculative decoding.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred: Knowledge of CUDA/Triton programming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nice to have: Knowledge of Rust, Cython and compilers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other competitive benefits. The US base salary range for this full-time position is $200,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div class=\u0026quot;job__description body\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4385540007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5211627007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4668385007,"location":{"name":"San Francisco or NYC"},"metadata":null,"id":5211627007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"G\u0026A-BOPS-018","title":"Manager, International Cloud Sourcing","company_name":"Together AI","first_published":"2026-08-18T19:57:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is looking for a Manager to own the commercial relationships with our international cloud compute suppliers and the market intelligence that drives our compute supply strategy. You will manage the lifecycle of international cloud service provider (CSP) contracts and renewals, run RFP processes for new capacity, build pricing benchmarks across the global GPU cloud landscape, and partner with infrastructure engineering, finance, and GTM to secure the right capacity at the best economics as we rapidly scale our GPU fleet globally.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage the lifecycle of international CSP leasing agreements, from sourcing and RFPs through contract execution and renewals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with infrastructure engineering to translate technical requirements into commercial specifications, and coordinate technical evaluations during vendor selection\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain relationships with cloud compute suppliers to expand Together\u0026#39;s vendor ecosystem into new international markets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain market intelligence to stay ahead of pricing trends, supply availability, and the evolving international cloud compute vendor landscape\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop negotiation strategies that improve our cost position and terms as we scale, accounting for local contracting norms and market dynamics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive continuous improvement on Total Cost of Ownership (TCO) and actively mitigate supply chain and commercial risks across the GPU fleet\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish and lead regular, structured vendor performance reviews, including Quarterly Business Reviews (QBRs), with international cloud and infrastructure compute suppliers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track the country-level factors that shape international capacity decisions, including power availability, local regulatory and data residency requirements, currency, and tax and duty implications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in cloud sourcing, strategic sourcing, or infrastructure commercial roles, with exposure to GPU or high-performance compute environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record negotiating cloud or infrastructure contracts (multi-million dollar deal sizes), including with suppliers outside the US\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of cloud infrastructure, including GPU configurations, networking, and cluster architecture, with the ability to translate technical requirements into commercial terms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills; experience building pricing models or financial analyses that inform sourcing decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills; comfortable working across engineering, finance, and vendor executives, including international suppliers, and available for calls outside standard US business hours\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to apply FinOps principles (e.g., cost allocation, rightsizing, commitment strategy) to cloud sourcing and contract negotiations to drive demonstrable cost efficiency across the GPU fleet.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in GPU/AI compute sourcing specifically, or at a GPU cloud provider or hyperscaler\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the AI infrastructure vendor ecosystem and current supply/demand dynamics, particularly outside the US\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building sourcing processes from scratch rather than operating within established systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data center economics, including power, cooling, and site selection considerations, and with country-level factors such as data residency, currency, and duties\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $190-220K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4044336007,"name":"Infra Strategy","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5211627007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4790243007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4455044007,"location":{"name":"San Francisco "},"metadata":null,"id":4790243007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"140","title":"Platform Engineer, Model Shaping","company_name":"Together AI","first_published":"2025-07-16T15:44:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers of Together’s platform for model customization and evaluation. You will design, develop, and operate both the backend services and the underlying systems that enable us to sustainably and reliably scale production workflows launched by our users, as well as internal research experiments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will operate in a cross-functional environment, collaborating with other engineers and researchers in the team to improve the infrastructure based on the needs of projects they work on. You will also interact with other engineering teams at Together (such as Commerce, Data Engineering, and Cloud Infrastructure) to integrate the services developed by Model Shaping with systems developed by those teams.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build Together’s systems and infrastructure for model customization, including user-facing features and internal improvements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to reliability improvements for the platform, participating in an on-call rotation and improving processes for incident response\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create and improve internal tooling for deployment, continuous integration, and observability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a job orchestration platform spanning multiple datacenters, supporting a highly heterogeneous hardware landscape\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with teams developing internal services, co-designing these services and incorporating them in systems built within Together\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience in building infrastructure or backend components of production services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience designing, operating, and troubleshooting production Linux environments and Kubernetes-based platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering background in Python or Go\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cloud environment (e.g., AWS/GCP/Azure) administration experience, preferably with a hybrid bare-metal/cloud environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills, be willing to document systems and processes and collaborate with peers of varying technical expertise\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable operating across the stack, from cluster operations and infrastructure automation to backend service development\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Experience in any of the following will make you stand out:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Developing large-scale production systems with high reliability requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pipeline orchestration frameworks (e.g., Kubeflow, Argo Workflows, Flyte)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing GPU workloads on HPC clusters, ideally with hands-on experience in operating NVIDIA’s networking stack (e.g., NCCL, Mellanox firmware, GPUDirect RDMA)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deployment of services for AI training or inference\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Networking fundamentals, including TCP/IP, DNS, routing, load balancing, TLS, and network debugging tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintaining or contributing to open-source projects\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4790243007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5172169007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4649241007,"location":{"name":"San Francisco"},"metadata":null,"id":5172169007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"270","title":"Product Manager, AI Infrastructure","company_name":"Together AI","first_published":"2026-06-24T17:23:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our product surface is expanding fast - GPU clusters, managed storage, networking, and observability - and we\u0026#39;re adding a Product Manager to the Together Cloud team to own the day-to-day product work that keeps these AI infrastructure products moving. You\u0026#39;ll start across the full surface, with an early focus on observability and GPU Clusters, partnering closely with engineering to ship the feature work that customers feel every day.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a role for someone who runs toward problems. You won\u0026#39;t be handed a backlog and asked to coordinate it - you\u0026#39;ll find the issues others haven\u0026#39;t spotted yet, drive them to resolution, and use data and experimentation to decide what to build. You\u0026#39;ll have real autonomy from day one, and the breadth of working across compute, storage, and observability that few PM roles offer.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;It\u0026#39;s also a role with a clear path. Within roughly nine months, the goal is for you to grow into full ownership of a complete product area — observability or storage as your own. You\u0026#39;ll report directly to a Staff Product Manager, and our product leadership (including our CPO) is closely involved with this team. If you want to build infrastructure that the AI ecosystem runs on, and earn ownership quickly by proving you can operate, this is that seat.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the day-to-day product and feature work across Together\u0026#39;s AI infrastructure products - GPU Clusters, Managed Storage, and observability - with an early focus on observability and storage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Find and drive problems to resolution with minimal guidance, including issues that aren\u0026#39;t yet on anyone\u0026#39;s radar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run structured, hypothesis-driven experiments - reading the data yourself and driving the data collection and instrumentation needed to answer open questions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner across engineering, product, and partner teams to ship improvements and unblock work without waiting for permission.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate a deep understanding of customers operating in fast-moving, high-ambiguity markets into product decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Juggle multiple priorities and workstreams across a broad infrastructure surface.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow into end-to-end ownership of a complete product area (observability or storage) as you ramp.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Requirements\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep empathy for customers operating in high-ambiguity, fast-evolving markets; we work with AI Native startups and model labs that move at high pace\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong, hands-on data and analytics skills with a hypothesis-driven approach - you design experiments, read the data yourself, and can drive the data collection needed to get answers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High agency: you find problems, push through resistance, and drive resolution without waiting to be told what to do.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A real technical foundation -whether from an AI/infrastructure background, hands-on software development, or strong working knowledge of cloud and infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of collaborating across orgs and product lines to get things done.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable managing multiple priorities and workstreams at once.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the AI stack, especially at the infrastructure layer, is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cloud platform experience (AWS, Azure, GCP, or similar) - with extra weight if you\u0026#39;ve helped \u0026lt;em\u0026gt;build\u0026lt;/em\u0026gt; such products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: working knowledge of the Nvidia/AMD GPU stack (InfiniBand, NCCL, GPU operator, etc.), or experience with AI training or inference workloads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 175,000 - 220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033061007,"name":"Product","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5172169007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4550767007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4336358007,"location":{"name":"San Francisco"},"metadata":null,"id":4550767007,"updated_at":"2026-10-02T20:51:44-04:00","requisition_id":"69","title":"Recruiting Coordinator","company_name":"Together AI","first_published":"2024-10-25T13:08:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together.ai is looking for an experienced, proactive, and enthusiastic recruiting coordinator to join our talent team and participate in the hiring process from beginning to end. The ideal candidate is highly organized, thorough, and flexible in a fast-paced environment. In this role, you will work directly with hiring managers, recruiters, and candidates. You will get to partner closely with the talent specialist lead to develop and execute on a variety of projects to enhance our recruiting experience and process. We are looking for a team player who can live our vision and is eager to develop their recruiting skills at one of the most competitive, research -driven companies in AI.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work closely with HR to ensure smooth transitions between recruitment and onboarding.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify inefficiencies in the recruitment process and propose improvements to enhance productivity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in developing recruitment-related templates, tools, or guides for hiring managers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain confidentiality of candidate information and recruitment records.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Book rooms, handle travel arrangements, and set up virtual meetings for candidate interviews when necessary.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure that interviewers have the necessary materials and schedules for their interviews.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help prepare and send offer letters to candidates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate pre-employment processes such as background checks and reference verifications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare and run reports on recruiting metrics, such as time-to-hire, offer acceptance rates, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage and update interview schedules through Applicant Tracking Systems (ATS) and calendar tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure smooth communication between candidates, interviewers, and hiring managers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as the primary point of contact for candidates throughout the recruitment process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide timely responses to candidate inquiries and updates on their status.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Other duties as assigned\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1-3 years of experience in a recruiting, HR, or administrative role, preferably in the tech, AI, or ML industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Applicant Tracking Systems (ATS) and recruiting tools (Greenhouse, Lever, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in coordinating interviews across multiple departments and teams.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of the tech industry and typical roles (e.g., Software engineering, ML engineering, Product management, Account executive, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills – both verbal and written, to interface with candidates and hiring managers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional organizational skills with the ability to manage multiple tasks simultaneously.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work independently and collaboratively in a fast-paced environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with Microsoft Office Suite\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;(Word, Excel, Outlook) or Google Workspace.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Problem-solving skills to manage last-minute scheduling changes or candidate needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Customer service orientation – ensuring a positive candidate experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data-driven mindset\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactive with a strong sense of initiative.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adaptable to changing hiring priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Empathetic and able to handle candidate needs and concerns with care.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $75,000 - $110,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;\u0026amp;nbsp;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033062007,"name":"People","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4550767007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5266249007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4694026007,"location":{"name":"San Francisco"},"metadata":null,"id":5266249007,"updated_at":"2026-10-16T14:06:53-04:00","requisition_id":"342","title":"Recruiting Sourcer, Business (GTM, Infrastructure Strategy \u0026 G\u0026A)","company_name":"Together AI","first_published":"2026-10-16T14:06:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring the best people in the market, and we need a sourcer who can help us find and win them. As a Recruiting Sourcer, you\u0026#39;ll build and nurture the top of the funnel for our business-side hiring across Go-to-Market, Infrastructure Strategy, and G\u0026amp;amp;A. You\u0026#39;ll work with senior recruiting partners and business leaders on critical, hard-to-fill searches.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Your first priority will be clearing our open searches by finding and engaging exceptional, mostly passive candidates. Over time, you\u0026#39;ll build a warm pipeline of top-tier talent and a repeatable sourcing playbook that helps us scale. This is a chance to tell Together AI\u0026#39;s story to people who are already doing great work elsewhere, and to see that work turn into real hires.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Source, engage, and nurture top-tier passive candidates across GTM, Infrastructure Strategy, and G\u0026amp;amp;A, including Enterprise Sales, Solutions Engineering, Sales leadership, Marketing, Customer Success, Director-level G\u0026amp;amp;A, and Strategy and Infrastructure roles at the intersection of finance and AI compute.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with hiring managers and recruiters to calibrate on roles and ideal candidate profiles before sourcing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write personalized outreach that conveys Together AI\u0026#39;s story and resonates with each candidate\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively build pipelines for current and future roles, without waiting to be assigned\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain long-term relationships with top-tier talent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track key sourcing metrics and use data to refine strategy and improve results\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop repeatable sourcing systems and a playbook to scale as hiring grows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work within our sourcing and recruiting stack, including GEM, LinkedIn Recruiter, Noon AI, and Greenhouse\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adapt quickly as priorities shift and move between functions with ease\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of sourcing experience (strong candidates with 3-4 years and exceptional results on hard-to-fill roles are also encouraged to apply)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record sourcing senior passive talent for critical, hard-to-fill roles across a range of functions and departments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sourcing, mapping, and outreach skills, with the ability to craft compelling, personalized messaging\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a startup or hyper-growth environment at some point in your career\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building sourcing systems, identifying key metrics, and making data-driven decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and the ability to build trust with stakeholders and candidates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-directed and operationally agile, comfortable with shifting priorities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine interest in AI, with some knowledge of the space or a willingness to learn\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with sourcing tools like GEM, LinkedIn Recruiter, and Noon AI is a plus; familiarity with Greenhouse or a similar ATS, or the ability to adopt new tools quickly\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you don\u0026#39;t meet every requirement but believe you\u0026#39;d be a great fit, we\u0026#39;d still love to hear from you.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 125 -190K + bonus program + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunities\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033062007,"name":"People","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5266249007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5199554007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4662516007,"location":{"name":"San Francisco"},"metadata":null,"id":5199554007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"281","title":"Research Engineer, Large-Scale Training","company_name":"Together AI","first_published":"2026-07-30T12:52:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;About the Role\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;As a Research Engineer on the Scaling Team within Model Shaping, you will turn cutting-edge research on efficient foundation model training into robust, high-performance systems. You will profile and optimize Together\u0026#39;s training infrastructure, identify performance bottlenecks across the stack, and implement state-of-the-art techniques from both the research literature and our own scientists in production environments.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Your work will directly shape the fine-tuning experience of Together\u0026#39;s customers. You will rapidly bring newly released open-source models onto the Model Shaping platform, ensuring they train efficiently and reliably across diverse customer workloads. Working closely with Research Scientists, you will also build the experimental infrastructure that accelerates research and enables validated ideas to be deployed reliably at scale.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Responsibilities\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-spread=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Design, implement, and optimize core components of Together\u0026#39;s large-scale training infrastructure.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Integrate new model architectures, validate training correctness and convergence, and optimize performance for production fine-tuning workloads.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Profile distributed training workloads to identify and eliminate bottlenecks across compute, memory, and communication.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Design and execute experiments to validate performance hypotheses and benchmark new approaches against state-of-the-art methods.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Partner closely with Research Scientists to productionize novel training methods and contribute to publications and open-source releases.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Rapidly enable support for newly released open-source foundation models on the Together platform.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Build and maintain experimental infrastructure that accelerates research while ensuring production-quality reliability and scalability.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Requirements\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-spread=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Demonstrated ability to independently take ambiguous performance or infrastructure problems from investigation through deployment.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Strong programming skills in Python and PyTorch, with an emphasis on writing efficient, maintainable code.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Hands-on experience training or fine-tuning large neural networks in multi-GPU or multi-node environments.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Solid understanding of ML systems fundamentals, including GPU architecture, mixed-precision training, and distributed training paradigms such as data, tensor, pipeline, or expert parallelism.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Strong communication skills and the ability to collaborate effectively with both researchers and engineers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Passion for staying current with advances in AI research and applying them to real-world systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Excitement about translating cutting-edge research into production systems that deliver customer impact.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 class=\u0026quot;isSelectedEnd\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-spread=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience writing optimized NVIDIA GPU kernels using CUDA or Triton, or implementing communication collectives with technologies such as NCCL or NVSHMEM.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience with large-scale training frameworks such as FSDP, DeepSpeed, Megatron-LM, or custom distributed training systems.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience optimizing distributed training for compute efficiency, memory efficiency, or scalability.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience running and managing large-scale GPU experiments, including scheduling, monitoring, and fault tolerance.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Contributions to widely used open-source ML or ML systems projects.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience building or operating ML products or managed services used by external customers.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Please see our privacy policy at\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5199554007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5179372007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4652603007,"location":{"name":"San Francisco"},"metadata":null,"id":5179372007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"R\u0026D-RES-110_New","title":"Research Engineer, Post-Training Inference","company_name":"Together AI","first_published":"2026-07-06T14:21:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Model Shaping team at Together AI works on products and research focused on tailoring open foundation models to downstream applications. We build services that enable machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad range of ideas across machine learning, natural language processing, and ML systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Research Engineer within Model Shaping, you will develop a platform that enables users to customize open-source models with their own data. Working across the training and inference stacks, you will build and improve our Fine-Tuning, Reinforcement Learning, and Evaluation services – from ensuring a seamless path from post-training to production serving, to optimizing the inference engine for RL training workloads. You will collaborate closely with our product, research, and engineering teams to keep the API reliable, performant, and well integrated into the company\u0026#39;s technical infrastructure. Above all, you will help build the foundational layer of the open-source AI ecosystem, enabling developers around the world to efficiently create high-quality models tailored to their specific applications.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build Together’s systems for customizing open-source models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build integrations between the Model Shaping and Inference platforms to ensure a seamless path from post-training to serving production workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Add features to inference engines for large-scale post-training experiments, including optimizations for RL workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platform\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Have 2+ years of experience building and deploying machine learning-based services in a production environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have hands-on experience with modern inference engines, such as SGLang, vLLM, and TensorRT-LLM\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are familiar with the latest methods for fine-tuning LLMs and other AI models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have a strong software engineering background in Python or Go\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay up to date with the latest advances and trends in the machine learning community\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Experience in any of the following will make you stand out\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serving low-precision (FP4/FP8) models, multiple LoRA adapters within one model instance (Multi-LoRA), or models distributed across several GPU nodes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimizing the performance of RL training workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing CUDA/Triton/CuTE DSL kernels for inference\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing large-scale and high-load production systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintaining or contributing to open-source ML projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Managing machine learning workloads on Kubernetes clusters\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5179372007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238468007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681076007,"location":{"name":"San Francisco"},"metadata":null,"id":5238468007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"325","title":"Research Intern, Frontier Agents (Summer 2027)","company_name":"Together AI","first_published":"2026-09-18T14:40:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You\u0026#39;ll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research and implement novel techniques in one or more of our focus areas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and conduct rigorous experiments to validate hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document findings in scientific publications and blog posts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate the plans, progress, and results of projects to the broader team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with deep learning frameworks (PyTorch, JAX, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how LLMs work\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Transformer architectures and recent developments in foundation models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Example Research Directions\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing and curating datasets for frontier agents alignment and post-training\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Studying failure modes and developing safety paradigms for agentic behavior\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building agents that act on spoken input to carry out complex, multi-step tasks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing ML infrastructure that can power agent operations at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span either May 17th to August 6th or June 14th to September 3rd.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;For more information about our privacy policy, please visit:\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238468007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238467007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681075007,"location":{"name":"San Francisco"},"metadata":null,"id":5238467007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"324","title":"Research Intern, Frontier Agents (Winter 2027)","company_name":"Together AI","first_published":"2026-09-18T11:46:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You\u0026#39;ll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research and implement novel techniques in one or more of our focus areas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and conduct rigorous experiments to validate hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document findings in scientific publications and blog posts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate the plans, progress, and results of projects to the broader team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with deep learning frameworks (PyTorch, JAX, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of how LLMs work\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Transformer architectures and recent developments in foundation models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Example Research Directions\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Training, developing, and evaluating frontier models, especially in the domain of agentic tasks and workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing and curating datasets for frontier agents alignment and post-training\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Studying failure modes and developing safety paradigms for agentic behavior\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research new recipes (for RL or test time scaling) for self-learning and long-context tasks completion\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building agents that act on spoken input to carry out complex, multi-step tasks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing ML infrastructure that can power agent operations at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span January 4th to April 9th.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;For more information about our privacy policy, please visit:\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238467007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5267198007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4694500007,"location":{"name":"San Francisco"},"metadata":null,"id":5267198007,"updated_at":"2026-10-16T19:44:37-04:00","requisition_id":"346","title":"Research Intern, Frontier Speculative Decoding (Summer 2027)","company_name":"Together AI","first_published":"2026-10-16T18:48:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3 id=\u0026quot;past-research\u0026quot; data-lfile-container=\u0026quot;75b2226e-f583-4bc8-a073-fba516e11feb\u0026quot; data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Past Research\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Speculative decoding research by Together researchers, interns and academic collaborators includes:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;a href=\u0026quot;https://openreview.net/forum?id=aL1Wnml9Ef\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Speculative Speculative Decoding\u0026lt;/a\u0026gt; (ICLR 2026)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2602.06932\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;When RL Meets Adaptive Speculative Training: A Unified Training-Serving System\u0026lt;/a\u0026gt; (ICML 2026)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2511.13841\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training\u0026lt;/a\u0026gt; (MLSys 2026)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Research and prototype new efficient speculative decoding algorithms and draft model architectures\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Implement optimized version for serving engines to show efficacy in real world workloads\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Communicate the plans, progress, and results of projects to the broader team\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Share findings through technical write-ups and blog posts, and help bring successful ideas into production\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Currently pursuing a Master\u0026#39;s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Hands-on experience training or fine-tuning large models with distributed training frameworks (e.g., Megatron-LM, FSDP)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Familiarity with modern model architectures, such as Mixture-of-Experts and hybrid attention\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 id=\u0026quot;preferred-qualifications\u0026quot; data-lfile-container=\u0026quot;75b2226e-f583-4bc8-a073-fba516e11feb\u0026quot; data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Preferred Qualifications\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Prior research experience in speculative decoding, efficient inference, or efficient machine learning\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Publications at leading conferences in machine learning or systems (e.g., NeurIPS, ICML, ICLR, MLSys)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience with knowledge distillation, post-training, or reinforcement learning\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Familiarity with LLM serving engines (e.g., vLLM, SGLang, TensorRT-LLM)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Contributions to open-source machine learning projects\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span May 17th to August 6th or June 14th to September 3rd.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;For more information about our privacy policy, please visit:\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/h3\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5267198007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5267197007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4694499007,"location":{"name":"San Francisco"},"metadata":null,"id":5267197007,"updated_at":"2026-10-16T19:44:26-04:00","requisition_id":"345","title":"Research Intern, Frontier Speculative Decoding (Winter 2027)","company_name":"Together AI","first_published":"2026-10-16T18:48:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3 id=\u0026quot;past-research\u0026quot; data-lfile-container=\u0026quot;75b2226e-f583-4bc8-a073-fba516e11feb\u0026quot; data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Past Research\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Speculative decoding research by Together researchers, interns and academic collaborators includes:\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;a href=\u0026quot;https://openreview.net/forum?id=aL1Wnml9Ef\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Speculative Speculative Decoding\u0026lt;/a\u0026gt; (ICLR 2026)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2602.06932\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;When RL Meets Adaptive Speculative Training: A Unified Training-Serving System\u0026lt;/a\u0026gt; (ICML 2026)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2511.13841\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training\u0026lt;/a\u0026gt; (MLSys 2026)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Research and prototype new efficient speculative decoding algorithms and draft model architectures\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Implement optimized version for serving engines to show efficacy in real world workloads\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Communicate the plans, progress, and results of projects to the broader team\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Share findings through technical write-ups and blog posts, and help bring successful ideas into production\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Currently pursuing a Master\u0026#39;s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Hands-on experience training or fine-tuning large models with distributed training frameworks (e.g., Megatron-LM, FSDP)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Familiarity with modern model architectures, such as Mixture-of-Experts and hybrid attention\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 id=\u0026quot;preferred-qualifications\u0026quot; data-lfile-container=\u0026quot;75b2226e-f583-4bc8-a073-fba516e11feb\u0026quot; data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Preferred Qualifications\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Prior research experience in speculative decoding, efficient inference, or efficient machine learning\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Publications at leading conferences in machine learning or systems (e.g., NeurIPS, ICML, ICLR, MLSys)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience with knowledge distillation, post-training, or reinforcement learning\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Familiarity with LLM serving engines (e.g., vLLM, SGLang, TensorRT-LLM)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Contributions to open-source machine learning projects\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span January 4th to April 9th.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 - $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;For more information about our privacy policy, please visit:\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/h3\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5267197007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238462007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681071007,"location":{"name":"San Francisco"},"metadata":null,"id":5238462007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"321","title":"Research Intern, Inference (Summer 2027)","company_name":"Together AI","first_published":"2026-09-18T11:44:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and conduct rigorous experiments to validate hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate the plans, progress, and results of projects to the broader team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document findings in scientific publications and blog posts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a final year of Bachelor\u0026#39;s, Master\u0026#39;s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with deep learning frameworks (PyTorch, JAX, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Transformer architectures and recent developments in foundation models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior research experience in \u0026lt;strong\u0026gt;foundation models\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;efficient machine learning\u0026lt;/strong\u0026gt;, or \u0026lt;strong\u0026gt;ML systems\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications at leading conferences in machine learning or systems (i.e., \u0026lt;strong\u0026gt;MLSys, ICLR\u0026lt;/strong\u0026gt;).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with CUDA programming (for kernel development)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of model optimization techniques and hardware acceleration approaches\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source machine learning projects\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span either May 17th to August 6th or June 14th to September 3rd.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238462007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238461007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681070007,"location":{"name":"San Francisco"},"metadata":null,"id":5238461007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"320","title":"Research Intern, Inference (Winter 2027)","company_name":"Together AI","first_published":"2026-09-18T11:44:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and conduct rigorous experiments to validate hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate the plans, progress, and results of projects to the broader team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document findings in scientific publications and blog posts\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a final year of Bachelor\u0026#39;s, Master\u0026#39;s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with deep learning frameworks (PyTorch, JAX, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Transformer architectures and recent developments in foundation models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior research experience in \u0026lt;strong\u0026gt;foundation models\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;efficient machine learning\u0026lt;/strong\u0026gt;, or \u0026lt;strong\u0026gt;ML systems\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications at leading conferences in machine learning or systems (i.e., \u0026lt;strong\u0026gt;MLSys, ICLR\u0026lt;/strong\u0026gt;).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with CUDA programming (for kernel development)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of model optimization techniques and hardware acceleration approaches\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source machine learning projects\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span January 4th to April 9th.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238461007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238466007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681074007,"location":{"name":"San Francisco, Amsterdam"},"metadata":null,"id":5238466007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"323","title":"Research Intern, Model Shaping (Summer 2027)","company_name":"Together AI","first_published":"2026-09-18T11:44:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Research Intern in the Model Shaping team, you will work on one or more of the following areas:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Robust and reliable evaluation of foundation model capabilities\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Past research led by Model Shaping interns resulted in the following publications:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2511.21667\u0026quot;\u0026gt;Escaping the Verifier: Learning to Reason via Demonstrations\u0026lt;/a\u0026gt; (ICML 2026)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2602.21196\u0026quot;\u0026gt;Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking\u0026lt;/a\u0026gt; (ICML 2026)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;​​\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2505.17967\u0026quot;\u0026gt;FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models\u0026lt;/a\u0026gt; (ICLR 2026)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research and implement novel techniques in one or more of our focus areas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and conduct rigorous experiments to validate hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document findings in scientific publications and blog posts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate the research results into Together products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a Bachelor\u0026#39;s, Master\u0026#39;s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with deep learning frameworks (PyTorch, JAX, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the Transformer architecture and recent developments in foundation models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior research experience with training foundation models or efficient machine learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of model optimization techniques and hardware acceleration approaches\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source machine learning projects\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span either May 17th to August 6th or June 14th to September 3rd in our San Francisco or Amsterdam office.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238466007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238465007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681073007,"location":{"name":"San Francisco, Amsterdam"},"metadata":null,"id":5238465007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"322","title":"Research Intern, Model Shaping (Winter 2027)","company_name":"Together AI","first_published":"2026-09-18T11:45:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Research Intern in the Model Shaping team, you will work on one or more of the following areas:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Advanced post-training methods across supervised learning, preference optimization, and reinforcement learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;New techniques and systems for efficient training of neural networks (e.g., distributed training, algorithmic improvements, optimization methods)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Robust and reliable evaluation of foundation model capabilities\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Past research led by Model Shaping interns resulted in the following publications:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2511.21667\u0026quot;\u0026gt;Escaping the Verifier: Learning to Reason via Demonstrations\u0026lt;/a\u0026gt; (ICML 2026)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2602.21196\u0026quot;\u0026gt;Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking\u0026lt;/a\u0026gt; (ICML 2026)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;​​\u0026lt;a href=\u0026quot;https://arxiv.org/abs/2505.17967\u0026quot;\u0026gt;FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models\u0026lt;/a\u0026gt; (ICLR 2026)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research and implement novel techniques in one or more of our focus areas\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and conduct rigorous experiments to validate hypotheses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Document findings in scientific publications and blog posts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate the research results into Together products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a Bachelor\u0026#39;s, Master\u0026#39;s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Machine Learning and Deep Learning fundamentals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with deep learning frameworks (PyTorch, JAX, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the Transformer architecture and recent developments in foundation models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior research experience with training foundation models or efficient machine learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of model optimization techniques and hardware acceleration approaches\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source machine learning projects\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span January 4th to April 9th either in our San Francisco or Amsterdam Office.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238465007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4967737007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4550548007,"location":{"name":"San Francisco"},"metadata":null,"id":4967737007,"updated_at":"2026-10-01T13:12:52-04:00","requisition_id":"174","title":"Sales Development Engineer","company_name":"Together AI","first_published":"2025-11-04T11:47:41-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Sales Development Engineer at Together.ai, your territory is the world. You will have the opportunity to be at the cutting edge of one of the most important technological shifts of our time, speaking daily with founders, data scientists, researchers, and CTOs to help them build successful AI-driven businesses. Your primary focus will be to surface, qualify, and convert opportunities for potential prospects or users\u0026amp;nbsp; on the Together platform, focusing on both GPU sales \u0026amp;amp; API platform sales.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ideal candidate will have a passion for technology, entrepreneurship \u0026amp;amp; AI, and thrive in a fast paced environment.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;1-2 years of technical experience or education and interest in customer facing roles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Desire to work with highly technical teams and products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An excellent communicator with both clients and internal teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adaptability, coachability, high drive and sense of urgency - enjoys working within a fast-paced environment wearing multiple hats\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enjoys experimenting with the sales pitch/process to achieve company goals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience and success with cold \u0026amp;amp; warm calling/prospecting, making high volumes of calls \u0026amp;amp; emails daily\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2 years of experience in sales, with a track record of exceeding targets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Baseline understanding of compute hardware products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Convert inbound interest or source outbound interest and convert into commercial contracts alongside Account Executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Convert users of the Together platform to broader commercial opportunities alongside Account Executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate on product roadmaps \u0026amp;amp; features by bringing the voice of the customer into Together\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Meticulously prospect and manage a pipeline of new business opportunities in CRM (Pipedrive, Salesforce, etc)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generate sales interest via multi-channels\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $90K-150K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062691007,"name":"Revenue Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4967737007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5231263007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4677827007,"location":{"name":"San Francisco"},"metadata":null,"id":5231263007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"311","title":"Senior ABM \u0026 Campaign Manager","company_name":"Together AI","first_published":"2026-09-08T12:33:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Senior ABM \u0026amp;amp; Campaign Manager to join our Demand Generation team. You\u0026#39;ll own our account-based programs and the integrated campaigns that reach AI-native and digital-native companies running inference at scale. That means designing and executing campaigns from first touch to pipeline across content, digital, and the account-based experience, then shaping how we measure what works as we grow.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and own bespoke ABM programs for our top accounts, partnering with Sales on account tiering, buying group mapping, and the plays that drive marketing activation and air cover.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and run integrated campaigns across paid media, email, content syndication, webinars, gifting, and meeting-maker programs, connecting them into cohesive journeys rather than standalone tactics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Field Marketing and Events on pre-event account targeting and warm-up, digital amplification, and post-event retargeting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop campaign architecture, messaging, and creative across the customer journey in partnership with Product Marketing, Brand, Design, and Content, keeping positioning consistent across every campaign touchpoint.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run continuous testing and experimentation across channels — from ad creative and landing pages to targeting and channel mix — to improve conversion and pause what isn\u0026#39;t working.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with RevOps as the business owner of our demand gen and ABM stack, influencing what to evaluate, buy, or build in-house with AI tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own account penetration and pipeline contribution against new logo goals, managing campaign performance and building the reporting framework that defines what success looks like.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years in B2B demand generation, campaigns, or ABM, preferably at SaaS or AI-native/digital-first companies, with experience marketing to technical decision makers and practitioners across engineering, IT, or cybersecurity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record building and scaling integrated campaigns across digital, events, content, and account-based channels, including where process didn\u0026#39;t exist yet.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep ABM expertise across account tiering, buying group mapping, intent data, orchestration, and measurement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with digital agencies across paid social and search.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Marketing automation and campaign operations fluency (Marketo, HubSpot, or similar) with an understanding of lead lifecycle management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data-driven, comfortable working in reporting tools like Hex or Tableau to interpret campaign performance and communicate it clearly to stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190K - $225K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4062690007,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5231263007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4835763007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4478121007,"location":{"name":"San Francisco"},"metadata":null,"id":4835763007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"153","title":"Senior Backend Engineer, Inference Platform","company_name":"Together AI","first_published":"2025-08-22T14:40:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You’ll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Shape the core inference backbone that powers Together AI’s frontier models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with world-class researchers to bring new model architectures into production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with and contribute to the open source community, shaping the tools that advance the industry.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A culture of deep technical ownership and high impact — where your work makes models faster, cheaper, and more accessible.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competitive compensation, equity, and benefits.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling — including smart rate limiting and regulation — to ensure fairness and consistent experience across all users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineer trade-offs between latency and throughput to serve diverse workloads efficiently.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize prefix caching to reduce model compute and speed up responses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with ML researchers to bring new model architectures into production at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Requirements\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level programming in one or more of: Rust, Go, Python, or TypeScript.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of modern LLMs and generative models and how they are served in production is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Kubernetes or container orchestration is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $290,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4835763007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4774159007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4446864007,"location":{"name":"San Francisco"},"metadata":null,"id":4774159007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"136","title":"Senior Developer Productivity Engineer","company_name":"Together AI","first_published":"2025-06-25T22:35:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;At Together AI, you\u0026#39;ll own the systems and tooling that let our engineers ship quickly and reliably: CI/CD pipelines, release infrastructure, local dev environments, and the testing systems the whole engineering team depends on.\u0026lt;br\u0026gt;This is a high-leverage, build-heavy role. You\u0026#39;ll take on big projects and drive them end to end: building a full-stack release service with deployment orchestration, rebuilding the front-end build pipeline, standing up testing infrastructure that kills flaky builds. The goal is straightforward: engineers should spend their time building products, not fighting their tooling.\u0026lt;br\u0026gt;This is an engineering role focused on building systems, not a QA or manual testing role. You build the infrastructure that makes manual effort unnecessary.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and own the production systems engineers rely on: release services with deployment orchestration (canary, blue/green), reusable CI/CD pipelines, and self-service tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build testing infrastructure: the frameworks and harnesses that make tests fast and reliable, and track down flaky tests and slow builds at the systems level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain local dev environments and containerized workflows so engineers can spin up and iterate fast.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create starter templates and shared tooling (CLIs, codegen, IDE integrations) so teams can stand up new services in minutes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the go-to engineer for GitHub Actions and GitOps: defining problems, untangling pipeline issues, and improving how the org works with them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve front-end build tooling and developer workflows alongside product engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work across the org to find the biggest sources of friction and fix them at the root. Document what you build so others can use it.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years building software in production, with a strong track record of owning systems or services end to end, from design through operation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering fundamentals. You write production-quality code and have built and operated real services, not just scripts or test automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python, Go, and JavaScript/TypeScript for tooling, automation, and enablement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with CI/CD systems (GitHub Actions, ArgoCD, GitOps) and building scalable, reusable pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with containerized development workflows and local dev tooling (e.g., Skaffold).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building starter templates and scaffolding, with engineering teams, to accelerate new service creation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with AI coding tools (e.g., Claude Code, Cursor, Copilot) and a habit of using them to move faster and ship more.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A builder\u0026#39;s mindset and strong ownership. You like creating the tools and systems other people depend on.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rigor in diagnosing systemic issues: flaky tests, build latency, deployment failures.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Nice to have\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Kubernetes expertise (EKS, K3s) and experience optimizing containerized builds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure as Code (Terraform, Ansible, Pulumi).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Front-end tooling familiarity (React, Next.js, Jest) to optimize front-end dev workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitoring and observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $180,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at https://www.together.ai/privacy\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4774159007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5088817007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4609398007,"location":{"name":"San Francisco"},"metadata":null,"id":5088817007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"R\u0026D-ENG-082","title":"Senior Machine Learning Engineer, Voice AI ","company_name":"Together AI","first_published":"2026-03-30T15:36:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You\u0026#39;ll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You\u0026#39;ll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. You\u0026#39;ll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the model serving stack that powers Together\u0026#39;s voice platform across STT, TTS, and speech-to-speech.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together\u0026#39;s infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build quality evaluation frameworks that guide model selection for customers and inform the roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Join a small, early-stage team with outsized impact on a fast-growing product area.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Optimize inference performance for voice models (STT, TTS, speech-to-speech) — targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain a voice model evaluation framework — measuring WER across accents, languages, and noise conditions for STT; naturalness, latency, and pronunciation accuracy for TTS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enable new model architectures in our serving stack as the field evolves, including audio-native LLMs, codec-based models (SNAC), and speech-to-speech systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with model partners to integrate and optimize their models (Cartesia, Deepgram, Rime, and others) running on Together\u0026#39;s infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Profile and debug performance across the full inference stack — from GPU kernels to framework-level bottlenecks — and ship measurable improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with the platform engineering side of the team to ensure the serving layer meets the latency and reliability requirements of real-time voice APIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to voice model fine-tuning capabilities (STT and TTS) as we enable customers to build differentiated voice experiences on Together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lay the groundwork for multiple new products down the line.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in ML engineering, with a focus on model serving, inference optimization, or ML infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with LLM serving engines (vLLM, SGLang, TensorRT-LLM, or similar) — comfortable reading and modifying engine internals, not just using APIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in Python and PyTorch; experience with GPU profiling and optimization (CUDA, memory management, kernel-level debugging).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of shipping ML systems to production with measurable performance improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product sense — you think about what developers building voice apps actually need, not just what\u0026#39;s technically interesting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working on a small, early-stage team where you\u0026#39;ll wear multiple hats and move fast.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with speech and audio ML (ASR, TTS architectures, audio signal processing) is a strong plus but not required — you can learn this quickly if you have strong ML engineering fundamentals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with audio codecs and tokenization schemes (SNAC, Encodec, DAC) is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience training or fine-tuning speech models is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5088817007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5180977007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4373901007,"location":{"name":"San Francisco"},"metadata":null,"id":5180977007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"89","title":"Senior Network Engineer","company_name":"Together AI","first_published":"2026-07-07T00:36:15-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing or maintaining network automation using Python, Ansible, or similar tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, deployment, and rollback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of Kubernetes networking, including pods, services, CNIs, and basic connectivity troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foundational knowledge of RDMA networking and technologies such as RoCE or InfiniBand.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud networking in AWS, GCP, or Azure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Linux administration and troubleshooting skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, deploy, operate, and maintain global, multi-vendor, multi-protocol networks supporting high-performance AI compute infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot complex network and application-connectivity issues, identify root causes, and drive problems through resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze telemetry, packet captures, logs, and performance data to identify network degradation, congestion, packet loss, and capacity constraints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in architecture and design reviews to ensure solutions meet requirements for performance, availability, scalability, security, and operational supportability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain automation, validation, and operational tooling that improves network reliability and reduces manual effort.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate network hardware, software, optics, and emerging technologies for use in production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish standards and operational best practices for network design, deployment, monitoring, change management, and incident response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead projects addressing complex technical challenges and contribute directly to the network engineering roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with infrastructure, systems, security, and application teams to troubleshoot issues that cross traditional ownership boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Preferred\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience deploying or operating RoCE and/or InfiniBand fabrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting GPU clusters, HPC environments, distributed storage, or other high-bandwidth and latency-sensitive workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of AI training and inference traffic patterns and the demands they place on network infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating networks spanning thousands of devices, multiple data centers, and multiple geographic regions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI-assisted engineering tools and the ability to validate, test, and safely deploy AI-generated automation or code.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5180977007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5026002007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4580359007,"location":{"name":"Amsterdam"},"metadata":null,"id":5026002007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"204","title":"Senior Network Engineer (Amsterdam)","company_name":"Together AI","first_published":"2026-01-20T17:36:03-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;About the Role\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing or maintaining network automation using Python, Ansible, or similar tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, deployment, and rollback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of Kubernetes networking, including pods, services, CNIs, and basic connectivity troubleshooting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foundational knowledge of RDMA networking and technologies such as RoCE or InfiniBand.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud networking in AWS, GCP, or Azure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Linux administration and troubleshooting skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, deploy, operate, and maintain global, multi-vendor, multi-protocol networks supporting high-performance AI compute infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot complex network and application-connectivity issues, identify root causes, and drive problems through resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze telemetry, packet captures, logs, and performance data to identify network degradation, congestion, packet loss, and capacity constraints.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in architecture and design reviews to ensure solutions meet requirements for performance, availability, scalability, security, and operational supportability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain automation, validation, and operational tooling that improves network reliability and reduces manual effort.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate network hardware, software, optics, and emerging technologies for use in production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish standards and operational best practices for network design, deployment, monitoring, change management, and incident response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead projects addressing complex technical challenges and contribute directly to the network engineering roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with infrastructure, systems, security, and application teams to troubleshoot issues that cross traditional ownership boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Requirements\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Must have hands-on experience deploying or operating RoCE and/or InfiniBand fabrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting GPU clusters, HPC environments, distributed storage, or other high-bandwidth and latency-sensitive workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of AI training and inference traffic patterns and the demands they place on network infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating networks spanning thousands of devices, multiple data centers, and multiple geographic regions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI-assisted engineering tools and the ability to validate, test, and safely deploy AI-generated automation or code.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5026002007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5239199007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4681469007,"location":{"name":"San Francisco"},"metadata":null,"id":5239199007,"updated_at":"2026-10-05T17:30:36-04:00","requisition_id":"332","title":"Senior Partner Marketing Manager","company_name":"Together AI","first_published":"2026-10-05T17:30:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is the AI native cloud, which has been built bottoms up to cater to the demand for the new generation of AI applications and agents. The company has seen tremendous growth with 10X growth year on year and has over a million developers.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As we continue to drive product innovation, we are also investing deeply in our GTM. This role will lead partner marketing at Together AI. They will define our partner marketing strategy and own the execution, in collaboration with the GTM leadership. This role will report into the head of product and solution marketing and will have the opportunity to own and independently build the partner marketing function at one of the most innovative companies at the forefront of AI.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create and execute partner marketing strategy, specially for NVIDIA and cloud partners – in collaboration with GTM leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own core messaging for partners, working closely with product marketing to build those\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the marketing POC (point of contact) for partners and run regular rhythms of business to drive co-marketing efforts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with demand gen and field marketing to run partner marketing campaigns\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outline and track metrics to measure our success in the partner space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experiment and try new ideas that can help us scale further the ROI for both partners and Together aI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of partner marketing experience, preferably working with cloud hyperscalers (Azure, AWS, GCP) and/or NVIDIA\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record in creating and implementing high impact partner campaigns for B2B businesses, preferably in AI or Software Platform (PaaS)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and ability to build something from ground up\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with scaling organizations through partner GTM\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills with a data-driven approach to decision-making and reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelors degree required, preferred if in engineering\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, reinforcement learning to create specialized models, and pre-training for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves over 400 trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $220-250K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062690007,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5239199007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4624894007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4373009007,"location":{"name":"San Francisco"},"metadata":null,"id":4624894007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"85","title":"Senior Product Engineer","company_name":"Together AI","first_published":"2025-01-15T14:21:11-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together is hiring a Senior Product Engineer to join our central Product Engineering team and embed day-to-day with the Commerce engineering team. You will own the product UI surface for Together AI’s most revenue-critical user flows: enterprise spend controls and governance, usage-based pricing displays and metering dashboards, payment method management, and enterprise contract surfaces.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on role for someone who enjoys operating at a high-quality, efficient pace: breaking ambiguous work into clear increments, shipping useful improvements quickly, and finding pragmatic ways to move customer and revenue impact forward. You will work alongside dedicated product, design, and backend engineers partners and use strong product judgment to make reasonable UX decisions within established patterns.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of frontend engineering experience building and shipping productions features to real users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong React fundamentals in production, including complex, stateful UIs that users depend on\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong TypeScript proficiency, with the ability to design clean typed interfaces across components, API boundaries, and application state\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong observability habits: you instrument what you ship, monitor whether it works, and use data to guide follow-up improvements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to absorb complex product and business requirements and translate them into correctly sequenced frontend implementations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency consuming APIs: you can read schemas, understand data shapes, handle loading and error states, and build typed web app interfaces without being blocked by backend engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Next.js, Tailwind, and shadcn/ui experience is a meaningful plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with billing, payments, or usage-based pricing UIs is a strong differentiator, including Stripe SDKs, metering displays, subscription states, checkout flows, or enterprise invoicing\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own Commerce’s frontend layer end-to-end: from consuming service APIs and building typed interfaces to delivering polished, accessible, user experiences, jumping in to backend systems when necessary to unblock product work in a fast-paced environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Break down complex product requirements and business logic into an iterative roadmap, sequence implementations correctly, and execute without needing step-by-step direction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion the customer experience across commerce surfaces: notice friction, identify product and UX gaps, and turn recurring customer issues into clear opportunities for the team to improve\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build reusable, well-typed React components on top of Together’s UI Platform and component library, making future Commerce work faster to ship\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Instrument, measure, and verify the success of your own features using data-driven metrics and signals including product analytics, web vitals, and error rates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Catch and address edge cases, error states, and failure modes that matter in commerce contexts, including payment failures, quota overages, upgrade blockers, and inconsistent billing states\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4624894007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5192898007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4659249007,"location":{"name":"San Francisco"},"metadata":null,"id":5192898007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"278","title":"Senior Product Engineer, Fullstack","company_name":"Together AI","first_published":"2026-07-27T17:04:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI\u0026#39;s product is what developers touch every day — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals. These surfaces are how users experience the platform, and they need to be fast, intuitive, and something developers genuinely love using. That\u0026#39;s what this role is about.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re growing the Product Engineering team and looking for a fullstack engineer who\u0026#39;s motivated by shipping things users genuinely value — not features that just look good in a slide deck. You\u0026#39;ll plug directly into new and existing workstreams and start shipping quickly, working across our core product surfaces to improve existing capabilities and build new ones.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small, fast-moving team, where one strong engineer moves the needle visibly. You\u0026#39;ll see your work in production, instrument and measure it, and use that to shape what comes next.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ship improvements and new capabilities across Together AI\u0026#39;s core product surfaces — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, and Model Evals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own projects and features end-to-end, from data model and API integration through the user interface\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with other engineers to build clean, typed, reusable interfaces in our web application\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Instrument and measure what you ship — add product analytics, monitor system health, and prove users are getting value with data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work across design, product, and engineering to ship things that unlock user value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Raise the bar on frontend and fullstack quality across the team through code review and collaborative architecture decisions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4–7 years of experience building and shipping real product to real users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong JavaScript/TypeScript fundamentals; TypeScript experience highly valued\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong React expertise in a large-scale, production environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Full-stack fluency: you connect the dots from data model to API design to state management to the UI, and know how to make the right call at each layer in service of clean, maintainable code and an intuitive user experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A pragmatic approach to engineering — you know when to move fast and when to slow down, and you make that call based on user value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity about AI and LLMs — you want to understand the models and products you\u0026#39;re building on top of, not just the code around them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Adept at building and improving agentic workflows, with good judgment for when to lean on AI and when not to\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-functional \u0026quot;we ship it\u0026quot; mentality — no narrow ownership, no finger-pointing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Next.js, Tailwind, and shadcn/ui experience is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with product analytics (e.g., Amplitude) and systems monitoring (e.g., Grafana) is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with CI/CD workflows is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with a backend language like Go or Python\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - 230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5192898007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5210951007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4668049007,"location":{"name":"San Francisco"},"metadata":null,"id":5210951007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"292","title":"Senior Product Manager, Model APIs \u0026 Developer Experience","company_name":"Together AI","first_published":"2026-08-17T13:58:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together serves a broad portfolio of open-weight models, backed by infrastructure designed to run them quickly and efficiently. The interfaces around those models shape the entire customer experience: how easily a developer can migrate an application, how reliably an agent can use a model, and how a team runs large asynchronous workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Senior Product Manager for Model APIs and Developer Experience, you will own those interfaces. Your scope will extend beyond chat to include the APIs and developer experience for image, video, voice, and passthrough models. You will also own compatibility with the wider developer and agent ecosystem, the voice consumption experience and associated model partnerships, and the evolution of our batch inference product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;These areas are connected by a single goal: make Together\u0026#39;s models easy to adopt and reliable to build on for developers and autonomous agents.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on product role. You will read API specifications, test integrations, inspect code when useful, and build prototypes or demo applications to sharpen your thinking. You will work closely with engineering and research, own the product direction, make thoughtful tradeoffs, ship, and learn from how customers use what we build.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set the product direction and roadmap across chat and multimodal APIs, ecosystem compatibility, voice, and batch inference.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close the API and behavioral gaps that make it harder for customers to move workloads from proprietary model providers to Together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a grounded view of how Together\u0026#39;s APIs perform in the developer and agent ecosystem, and turn the most important gaps into clear product priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define an intuitive API and consumption experience for real-time and agentic voice applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build productive relationships with voice model partners and align internal and external teams around a strong joint product experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reimagine batch inference across the job lifecycle, developer experience, completion guarantees, pricing, and packaging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build lightweight prototypes and demo applications to test product ideas and reduce uncertainty before committing significant engineering resources.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with engineering and research to understand technical constraints, make product tradeoffs, and deliver reliable customer experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Talk with customers and study product usage to separate isolated requests from patterns that should shape the platform.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create a clear, active roadmap and communicate why we are making specific investments and what we expect them to change.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Meaningful experience with APIs and developer tools, whether you designed them, built them, or owned them as a product manager.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product judgment and the ability to make clear decisions in an evolving market.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A willingness to get close to the work by reading specifications and code, testing integrations directly, and building working prototypes with AI development tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of earning trust with engineering and external partners through preparation, sound technical judgment, clear communication, and follow-through.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A bias toward experimentation and iteration. You know how to gather enough evidence to make a decision, ship, and adjust based on what you learn.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and relationship-building skills, including the ability to align teams and move work forward across company boundaries..\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200 - 280k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033061007,"name":"Product","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5210951007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5070981007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4601398007,"location":{"name":"Remote"},"metadata":null,"id":5070981007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"G\u0026A-BOPS-008","title":"Senior Program Manager, Data Center Delivery","company_name":"Together AI","first_published":"2026-03-10T16:36:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About The Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is scaling its own data center infrastructure to power the next generation of AI workloads. We are looking for a Program Manager, Data Center Delivery to serve as our representative across our physical infrastructure builds. In this role, you will manage critical data center builds, coordinate infrastructure deployment, and drive projects from contract negotiation through commissioning and data center fit out with vendors and strategic partners. You will own the full deployment lifecycle, ensuring builds are delivered on time, on budget, and to the quality standards required for high-density AI compute environments.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as Together’s representative on data center construction and expansion projects, managing data center providers, sub-contractors, compute integration partners, and strategic infrastructure alliances with cloud providers and technology partners from inception through deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee full-stack deployment, from MEP installation, white space commissioning, facility readiness, white space fit out, and turnover to operations teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the performance of integration partners (VARs/CI’s) regarding staging and validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage partner contracts and collaborative technical partners, service level agreements (SLAs), schedules, and change orders; track progress against milestones and hold partners accountable to performance, cost, and timeline commitments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct diligence on vendor and partner operational readiness.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with external partners, including data center providers, owner’s reps, GCs, design consultants, and commissioning agents, to resolve field issues and keep builds on track.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track equipment deliveries from vendors, coordinating delivery schedules with construction milestones to ensure materials arrive on time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide regular project status reporting to leadership, including schedule updates, risk registers, budget forecasts, and key decision points.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive process improvements across the data center build-out and infrastructure deployment program, establishing scalable workflows for tracking, documentation, and vendor management as the portfolio of builds grows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure all deployment activities comply with codes, security policies, and safety standards.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in technical project or program management or construction management, with at least 5 years focused on data center, mission-critical, or high-density infrastructure builds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience managing data center providers or general contractors on behalf of an owner or developer, including contract administration, schedule oversight, and scope amendment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing high-density compute deployments, including cluster-level cabling, rack-level power distribution, and OEM/ODM staging workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of data center MEP systems, data hall fit out, structured cabling, and white space delivery.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing multi-million infrastructure budgets and tracking costs and timelines across multiple concurrent projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills with the ability to translate technical construction and delivery details for non-technical stakeholders and senior leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with high-density GPU compute environments, liquid cooling systems, or AI infrastructure requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Construction Management, Engineering, Architecture, Business or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PMP certification or equivalent project management credential.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with fast-track or modular delivery methods for data center or mission-critical facilities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $190-240K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4044336007,"name":"Infra Strategy","child_ids":[],"parent_id":null}],"offices":[{"id":4029318007,"name":"Remote","location":"Remote","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5070981007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5247117007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4685002007,"location":{"name":"San Francisco"},"metadata":null,"id":5247117007,"updated_at":"2026-09-24T17:29:26-04:00","requisition_id":"333","title":"Senior Recruiter, GTM \u0026 Business","company_name":"Together AI","first_published":"2026-09-24T17:29:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Acceleration Cloud. We are building an end-to-end platform for the generative AI lifecycle, integrating fast, reliable inference and model-shaping services with cutting-edge AI cloud infrastructure.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for an exceptional Senior GTM \u0026amp;amp; Business Recruiter who can help us scale our teams while keeping the bar of excellence high. You\u0026#39;ll own end-to-end hiring across GTM and Business functions, from first conversation through offer close, and partner with GTM leadership to translate ambitious hiring plans into real teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;This role is based out of our Headquarters in San Francisco.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own full-cycle strategic recruiting across GTM and Business organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with executives and leaders to define hiring strategies, candidate profiles, and interview processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the candidate journey from sourcing handoff to offer stage, ensuring a seamless and exceptional experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide market intelligence, funnel metrics, and competitive insights to shape hiring strategies and influence decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with sourcers, coordinators, and recruiters to streamline processes and deliver a consistent, brand-aligned candidate experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a strategic thought partner to leaders, scaling from concept to execution with data-driven insights, creativity, and sound judgment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of business or GTM recruiting experience in high-growth tech environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to build and maintain relationships with leadership and hiring teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You thrive in a fast-paced, ambiguous environment with rapidly shifting priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in designing new interview processes and hiring strategies from the ground up.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You adapt gracefully under pressure and navigate changing priorities with ease.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to do more with less, you thrive in a scrappy environment and you find creative solutions to problems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is: $165,000 - $210,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033062007,"name":"People","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5247117007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5028862007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4581587007,"location":{"name":"Amsterdam"},"metadata":null,"id":5028862007,"updated_at":"2026-10-08T15:21:29-04:00","requisition_id":"207","title":"Senior Software Engineer - AI Compute, Together Cloud","company_name":"Together AI","first_published":"2026-01-20T15:19:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together\u0026#39;s inference, RL, and fine-tuning products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Software Engineer focusing on AI Compute in the Together Cloud org, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The hard problems in rapidly scaling heterogeneous GPU fleets are software problems: fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes. We solve them by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You\u0026#39;ll own massive greenfield projects across their full lifecycle – scoping the problem and writing PRDs with our PMs, designing the system, and building it through to GA launch.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the GPU and network virtualization stack: \u0026lt;/strong\u0026gt;the hypervisor, kernel, and SDN work that makes GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build and maintain our in-DC IaaS layer:\u0026lt;/strong\u0026gt; the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers, including VMs, parallel filesystems, VPCs, and InfiniBand partitions. Implement and harden the bring-up path for a new Vera Rubin data center with thousands of GPUs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale the distributed GPU scheduling and global management plane:\u0026lt;/strong\u0026gt; the control-plane services behind on-demand and reserved clusters, including the automation that onboards new capacity and raises per-cluster limits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Harden the monitoring and automated remediation layer for fault tolerance:\u0026lt;/strong\u0026gt; automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference fault-tolerant.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own your components end-to-end:\u0026lt;/strong\u0026gt; write the design docs, break the work into milestones that ship incrementally, and improve the reliability of what\u0026#39;s already in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the bar around you:\u0026lt;/strong\u0026gt; code review, design feedback, and mentoring junior engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the tooling other teams rely on:\u0026lt;/strong\u0026gt; testing frameworks, developer tools, and documentation that make our systems robust and usable across teams, plus contributions to the core, open-source Together AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;To be successful, you\u0026#39;ll need to be deeply technical, ready to own projects truly end-to-end, and an excellent communicator — strong software development fundamentals, strong systems knowledge and troubleshooting instincts, and the collaboration and diplomacy skills to work across teams.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of professional software development experience, with strong proficiency in at least one backend programming language (Golang desired).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ownership of large-scale projects driven end-to-end to completion, writing high-performance, well-tested, production-quality code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills — able to write clear design docs and work effectively with both technical and non-technical team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating reliable, customer-facing production systems at scale, and owning the infrastructure automation (Terraform, Ansible), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, ArgoCD) that keep them healthy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with Kubernetes internals, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Cluster API or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on high-performance compute, networking, and/or storage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience virtualizing GPUs and/or InfiniBand\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building IaaS or PaaS systems at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with DPUs/SmartNICs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GPU programming, NCCL, CUDA knowledge\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5028862007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4749787007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4125288007,"location":{"name":"San Francisco"},"metadata":null,"id":4749787007,"updated_at":"2026-09-23T18:39:50-04:00","requisition_id":"5","title":"Senior Software Engineer - AI Compute, Together Cloud","company_name":"Together AI","first_published":"2025-06-02T20:23:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together\u0026#39;s inference, RL, and fine-tuning products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Software Engineer focusing on AI Compute in the Together Cloud org, you will build and own major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The hard problems in rapidly scaling heterogeneous GPU fleets are software problems: fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes. We solve them by building global and in-DC services, Kubernetes operators, and high-performance SDN libraries, forking hypervisors and Linux kernels, and building infra tailored to inference and fine-tuning. You\u0026#39;ll own massive greenfield projects across their full lifecycle – scoping the problem and writing PRDs with our PMs, designing the system, and building it through to GA launch.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the GPU and network virtualization stack: \u0026lt;/strong\u0026gt;the hypervisor, kernel, and SDN work that makes GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build and maintain our in-DC IaaS layer:\u0026lt;/strong\u0026gt; the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers, including VMs, parallel filesystems, VPCs, and InfiniBand partitions. Implement and harden the bring-up path for a new Vera Rubin data center with thousands of GPUs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale the distributed GPU scheduling and global management plane:\u0026lt;/strong\u0026gt; the control-plane services behind on-demand and reserved clusters, including the automation that onboards new capacity and raises per-cluster limits.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Harden the monitoring and automated remediation layer for fault tolerance:\u0026lt;/strong\u0026gt; automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference fault-tolerant.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own your components end-to-end:\u0026lt;/strong\u0026gt; write the design docs, break the work into milestones that ship incrementally, and improve the reliability of what\u0026#39;s already in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Raise the bar around you:\u0026lt;/strong\u0026gt; code review, design feedback, and mentoring junior engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build the tooling other teams rely on:\u0026lt;/strong\u0026gt; testing frameworks, developer tools, and documentation that make our systems robust and usable across teams, plus contributions to the core, open-source Together AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;To be successful, you\u0026#39;ll need to be deeply technical, ready to own projects truly end-to-end, and an excellent communicator — strong software development fundamentals, strong systems knowledge and troubleshooting instincts, and the collaboration and diplomacy skills to work across teams.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of professional software development experience, with strong proficiency in at least one backend programming language (Golang desired).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ownership of large-scale projects driven end-to-end to completion, writing high-performance, well-tested, production-quality code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills — able to write clear design docs and work effectively with both technical and non-technical team members.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating reliable, customer-facing production systems at scale, and owning the infrastructure automation (Terraform, Ansible), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, ArgoCD) that keep them healthy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with Kubernetes internals, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Cluster API or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on high-performance compute, networking, and/or storage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience virtualizing GPUs and/or InfiniBand\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building IaaS or PaaS systems at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with DPUs/SmartNICs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GPU programming, NCCL, CUDA knowledge\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $220,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4749787007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5196805007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4661178007,"location":{"name":"San Francisco"},"metadata":null,"id":5196805007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"279","title":"Senior Software Engineer, Customer Insights","company_name":"Together AI","first_published":"2026-07-30T12:31:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together.ai is looking for a Senior Software Engineer to join the Customer Insights team. Customer Insights owns the customer-facing visibility layer of Together\u0026#39;s Cloud — the systems that help customers understand what\u0026#39;s happening in their environment, trace back what happened and why, and act on it with confidence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Every time a customer needs to understand their own activity — what happened, who did it, when, and whether it needs attention — they rely on the systems we build. Whether it\u0026#39;s a developer inspecting recent activity, an enterprise team auditing their organization, or an operator diagnosing an anomaly, we make that visibility clear and trustworthy: simple for everyday cases, robust enough for complex organizational needs. We\u0026#39;re turning today\u0026#39;s fragmented visibility patterns into coherent product and platform foundations, and building toward a next generation of insight tooling that summarizes activity, explains anomalies, and correlates signals across surfaces — for both human operators and autonomous agents.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll take ambiguous problems and turn them into a clear technical direction. You\u0026#39;ll set the technical approach for significant pieces of the system, weigh in on architecture beyond your immediate area, and help less experienced engineers navigate unfamiliar problem spaces. You\u0026#39;ll have real autonomy over how problems get solved, paired with a team that reviews, debates, and learns in the open.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and ship core features of Together\u0026#39;s Customer Insights platform — the systems customers rely on to see, trace, and act on their own activity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the technical design for new capabilities, including proposing architecture, writing design docs, and getting buy-in across teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and stream processing systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own significant areas of the system end-to-end — from design through implementation, testing, rollout, and long-term health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write and maintain critical-path backend and product code used by multiple teams and customer-facing surfaces. Identify risks and blockers early, drive resolution across team boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years building and operating production distributed systems or customer-facing backend platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and scaling data pipelines for high-volume ingestion and real-time querying specifically (the \u0026quot;at scale\u0026quot; specialization, distinct from #1\u0026#39;s general systems experience).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in one or more of Go, Python, Java,TypeScript, C++, or similar production languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong data modeling instincts — comfort working with schemas, queries, and relational and/or non-relational data at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Interest in, or some exposure to, stream processing, data pipelines, notification systems, or analytical systems (this is a great team to learn them on)\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $180k - 250k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5196805007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5233669007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4679079007,"location":{"name":"San Francisco"},"metadata":null,"id":5233669007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"316","title":"Senior Software Engineer — Infra Agent Systems","company_name":"Together AI","first_published":"2026-09-10T18:30:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI runs one of the largest GPU fleets in the world. The \u0026lt;strong\u0026gt;Infra Agent Systems\u0026lt;/strong\u0026gt; team builds the software systems that power and automate that infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work across two areas:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Agent Systems\u0026lt;/strong\u0026gt; — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Agent Platform\u0026lt;/strong\u0026gt; — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re working on something that hasn’t really been done before: building \u0026lt;strong\u0026gt;knowledge graphs and self-improving AI agents\u0026lt;/strong\u0026gt; that understand, operate, and continuously improve large-scale AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity to work at the intersection of \u0026lt;strong\u0026gt;AI agents, distributed systems, infrastructure, and automation\u0026lt;/strong\u0026gt;, solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Why this Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Turn what agents learn in production into reliable, reviewed software and automation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5+ years\u0026lt;/strong\u0026gt; of experience building production backend systems, distributed systems, or infrastructure platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems design skills and experience owning significant systems from design through production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Depth in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI agent systems, orchestration, tool use, evaluation, or grounding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge graphs or graph data modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Search, retrieval, ranking, RAG, or semantic search systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across languages such as Go, TypeScript, Python, or Rust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Experience in the following is a plus:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GPU infrastructure, datacenters, bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graph databases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Event-driven systems and messaging platforms such as NATS or Kafka\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Observability platforms such as Prometheus and Grafana\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building evaluation frameworks or improving the quality and reliability of LLM-powered systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $250,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5233669007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5222294007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4673426007,"location":{"name":"Amsterdam"},"metadata":null,"id":5222294007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"306","title":"Senior Software Engineer — Infra Agent Systems ","company_name":"Together AI","first_published":"2026-09-06T05:17:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI runs one of the largest GPU fleets in the world. The \u0026lt;strong\u0026gt;Infra Agent Systems\u0026lt;/strong\u0026gt; team builds the software systems that power and automate that infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work across two areas:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Agent Systems\u0026lt;/strong\u0026gt; — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Agent Platform\u0026lt;/strong\u0026gt; — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re working on something that hasn’t really been done before: building \u0026lt;strong\u0026gt;knowledge graphs and self-improving AI agents\u0026lt;/strong\u0026gt; that understand, operate, and continuously improve large-scale AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity to work at the intersection of \u0026lt;strong\u0026gt;AI agents, distributed systems, infrastructure, and automation\u0026lt;/strong\u0026gt;, solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;responsible for delivering the software but also for operating and supporting it in production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why this Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hybrid in Amsterdam\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Turn what agents learn in production into reliable, reviewed software and automation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5+ years\u0026lt;/strong\u0026gt; of experience building production backend systems, distributed systems, or infrastructure platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems design skills and experience owning significant systems from design through production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Depth in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI agent systems, orchestration, tool use, evaluation, or grounding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge graphs or graph data modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Search, retrieval, ranking, RAG, or semantic search systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across languages such as Go, TypeScript, Python, or Rust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Experience in the following is a plus:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GPU infrastructure, datacenters, bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graph databases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Event-driven systems and messaging platforms such as NATS or Kafka\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Observability platforms such as Prometheus and Grafana\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building evaluation frameworks or improving the quality and reliability of LLM-powered systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5222294007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5222270007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4673417007,"location":{"name":"London"},"metadata":null,"id":5222270007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"305","title":"Senior Software Engineer — Infra Agent Systems UK","company_name":"Together AI","first_published":"2026-09-01T03:39:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI runs one of the largest GPU fleets in the world. The \u0026lt;strong\u0026gt;Infra Agent Systems\u0026lt;/strong\u0026gt; team builds the software systems that power and automate that infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work across two areas:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Infrastructure Agent Systems\u0026lt;/strong\u0026gt; — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Core Agent Platform\u0026lt;/strong\u0026gt; — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re working on something that hasn’t really been done before: building \u0026lt;strong\u0026gt;knowledge graphs and self-improving AI agents\u0026lt;/strong\u0026gt; that understand, operate, and continuously improve large-scale AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an opportunity to work at the intersection of \u0026lt;strong\u0026gt;AI agents, distributed systems, infrastructure, and automation\u0026lt;/strong\u0026gt;, solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;responsible for delivering the software but also for operating and supporting it in production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Why this Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Remote based in the UK\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Turn what agents learn in production into reliable, reviewed software and automation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5+ years\u0026lt;/strong\u0026gt; of experience building production backend systems, distributed systems, or infrastructure platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems design skills and experience owning significant systems from design through production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Depth in at least one of the following:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;AI agent systems, orchestration, tool use, evaluation, or grounding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge graphs or graph data modeling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Search, retrieval, ranking, RAG, or semantic search systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across languages such as Go, TypeScript, Python, or Rust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Experience in the following is a plus:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GPU infrastructure, datacenters, bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Graph databases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Event-driven systems and messaging platforms such as NATS or Kafka\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Observability platforms such as Prometheus and Grafana\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building evaluation frameworks or improving the quality and reliability of LLM-powered systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051035007,"name":"London","location":"London, England, United Kingdom","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5222270007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4971774007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4552947007,"location":{"name":"San Francisco"},"metadata":null,"id":4971774007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"177","title":"Senior Software Engineer, Observability","company_name":"Together AI","first_published":"2025-11-08T12:19:30-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define observability best practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of containerization (Docker) and orchestration (Kubernetes).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source observability projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with security monitoring and compliance frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4971774007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4753072007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4435017007,"location":{"name":"San Francisco"},"metadata":null,"id":4753072007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"129","title":"Senior Software Engineer - Together Cloud Platform","company_name":"Together AI","first_published":"2025-06-04T13:04:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Some of what you’ll work on:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build out a global management plane for managing our data center compute, networking, and storage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identify, design, and develop foundational backend services that power Together’s cloud platform\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with product teams to understand functional requirements and deliver solutions that meet business needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write clear, well-tested, and maintainable software and IaC for both new and existing systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in an on-call rotation to address critical incidents when necessary\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience with building and operating high-performance and/or globally distributed microservice architectures across one or more cloud providers (AWS, Azure, GCP)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing against and managing a relational database, such as PostgreSQL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level programmer in one or more of programming language (Golang preferred)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in version control practices and integrating IaC with CI/CD pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Kubernetes and containers preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4753072007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5135941007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4631531007,"location":{"name":"San Francisco"},"metadata":null,"id":5135941007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"253","title":"Senior Technical Recruiter, AI/ML Research","company_name":"Together AI","first_published":"2026-05-28T13:08:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3 style=\u0026quot;line-height: 1;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;About the Role\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI is building the AI Native Cloud — an end-to-end platform for generative AI lifecycle, integrating fast, reliable inference, and model-shaping services with cutting-edge AI cloud infrastructure. We are looking for a seasoned Senior Technical Recruiter to partner closely with AI Research and Engineering leadership to scale world-class research teams across kernels, inference optimization, applied AI and model shaping.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p style=\u0026quot;line-height: 1;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;This role is ideal for someone who understands the unique dynamics of recruiting top-tier AI researchers and research engineers in a highly competitive market and can operate as a strategic talent partner to technical leadership.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3 style=\u0026quot;line-height: 1;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Responsibilities\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p style=\u0026quot;line-height: 1;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Partner with executives, research leadership, and hiring managers to define and execute hiring strategies\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Lead full-cycle recruiting for specialized AI talent, including researchers, research engineers, applied scientists, and ML systems engineers\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Build and nurture relationships with top AI talent across academia, open-source communities, research labs, and industry networks\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Drive exceptional candidate experiences from initial engagement through offer close, with a strong focus on relationship building and long-term talent cultivation\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Provide market intelligence on AI talent trends, compensation, competitive hiring landscapes, and emerging research organizations to influence hiring strategy and organizational planning\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Collaborate cross-functionally with sourcing, coordination, people operations, and leadership teams to continuously improve recruiting processes and operational excellence\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Design and refine interview processes tailored for research hiring, including technical evaluations, publication reviews, and research presentation loops\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 style=\u0026quot;line-height: 1;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Requirements\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;5+ years of technical recruiting experience at high-growth technology companies, with a proven track record hiring exceptional AI researchers, research engineers, applied scientists, or ML infrastructure talent at leading AI labs, hyper-scale startups, or frontier technology companies\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Experience recruiting from both industry and academic pipelines, including familiarity with publications, conferences, open-source contributions, and research communities\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Ability to build trusted partnerships with senior technical leaders and influence hiring decisions through data and market expertise\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Resourceful, adaptable, and creative in solving recruiting challenges, with comfort operating in fast-paced, ambiguous, high-growth environments with rapidly evolving priorities and hiring needs\u0026lt;br\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Demonstrated ability to design recruiting processes and talent strategies from the ground up for emerging technical organizations\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li style=\u0026quot;line-height: 1; font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Strong execution mindset with the ability to navigate complex searches and close highly competitive candidates in constrained talent markets\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $165,000 - $210,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: helvetica, arial, sans-serif;\u0026quot;\u0026gt;Please see our Privacy Policy at\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033062007,"name":"People","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5135941007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4627491007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4374326007,"location":{"name":"San Francisco"},"metadata":null,"id":4627491007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"92","title":"Solutions Architect ","company_name":"Together AI","first_published":"2025-01-22T18:40:51-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Solutions Architect at Together AI, you will work with customers and prospects to create business value through Generative AI applications. Solutions Architects at Together are trusted advisors to our customers that evaluate, identify and demonstrate how Together can solve their AI needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of innovative applications using OSS models on Together AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run complex demonstrations and POCs of Together’s entire stack, including both hardware and software solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build educational content and tooling for both internal and external use around Together’s solutions (i.e., playbooks, blogs, demos, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to consult with new and existing customers to map business needs to technical solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of training, fine-tuning and inference in the context of open source LLMs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and JavaScript, with experience building and delivering prototypes on API platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible), container infrastructure Docker), and scripting and programming languages (Python, Javascript)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US salary range for this full-time position is: $250-300K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4062689007,"name":"Customer Success","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4627491007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5257509007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4689880007,"location":{"name":"San Francisco"},"metadata":null,"id":5257509007,"updated_at":"2026-10-06T15:36:43-04:00","requisition_id":"337","title":"Sr. Partnerships Manager, US Model Labs","company_name":"Together AI","first_published":"2026-10-06T15:36:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As the Sr. Partnerships Manager for US Model Labs, you will own Together AI\u0026#39;s relationships with the most influential model builders in the United States: frontier labs, the AI research organizations inside the hyperscalers and major platform companies, chipmakers with their own model programs, and the well-funded independent labs shaping the open-weights landscape. These are the partners whose releases move the market, and your job is to make sure Together AI is the platform they launch on, build with, and route developers to.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a portfolio of a small number of very large, very complex accounts. Unlike a broad ecosystem role, success here is measured in depth rather than breadth: multi-threaded relationships across research, product, legal, and business teams; deals that often bundle model distribution with compute, co-marketing, and joint go-to-market; and the trust required to get early access to models before they ship. You will sit at the intersection of Product, Engineering, Finance, and Marketing, and you will frequently be the person in the room representing Together AI to organizations many times our size.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are a strategic deal-maker who is comfortable in long, ambiguous cycles with sophisticated counterparties, and who can turn a single relationship into a durable, expanding partnership.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the US lab portfolio: Build and execute the partnership strategy for a defined set of major US model labs, including account plans, executive engagement, and a clear view of each lab\u0026#39;s roadmap and where Together AI fits in it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Land flagship launches: Secure day-zero (or day-one) availability of the most anticipated model releases on the Together platform, coordinating pre-release access, technical bring-up, legal, and launch marketing so we ship alongside the lab.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Multi-thread across large organizations: Navigate research teams, product leads, developer relations, alliances and partner programs, legal, and executive sponsors to build support for Together AI at every level of the partner org.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structure strategic deals: Lead negotiation of distribution, licensing, revenue-share, compute, and co-marketing agreements, including non-standard structures that combine several of these. Handle complex IP, usage-rights, and exclusivity discussions with counterparties that have deep in-house legal and BD teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product and engineering alignment: Work with Product and Engineering to define bring-up requirements, manage NDA\u0026#39;d early access, and ensure new models are optimized for our inference and fine-tuning stacks ahead of launch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Commercial strategy: Partner with Finance to build deal structures that balance aggressive growth with sustainable unit economics, and to model the revenue impact of flagship model availability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Go-to-market and co-selling: Collaborate with Partner Marketing on joint announcements and campaigns, and work with Sales to turn lab relationships into enterprise wins through co-selling motions, joint customer engagements, and partner referral programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the voice of the labs internally: Bring market and roadmap intelligence back to Product and Leadership, and shape how Together AI positions itself relative to the labs\u0026#39; own platforms and their cloud partners.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Enterprise-scale partnership experience: 7–10+ years in Strategic Partnerships, Business Development, or Alliances, with a track record of closing and growing partnerships with large technology companies where the counterparty had its own BD, legal, and partner teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strategic deal-maker: You have constructed complex, multi-component agreements that don\u0026#39;t follow a standard template, and you can hold your own in IP, licensing, revenue-share, and exclusivity negotiations with sophisticated counterparties.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High EQ and executive presence: You build trust quickly, manage long relationships through changes in personnel and priorities, and are credible in front of senior leaders at partner organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical fluency: While you don\u0026#39;t need to be an ML researcher, you should be able to discuss model architectures, context windows, licensing terms, and inference and fine-tuning requirements with both partners and our internal teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI-native mindset: You work at pace with a relentless sense of urgency, and you prefer \u0026quot;done and iterating\u0026quot; over \u0026quot;perfect and stagnant,\u0026quot; even while managing accounts that move on their own timelines.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Bonus Points\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct experience working at, or partnering with, a frontier lab, a hyperscaler AI organization, or a major open-weights model builder.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with hyperscaler or cloud marketplace partner programs (e.g., alliances, co-sell, or ISV programs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in co-selling motions where partnerships directly drove revenue.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background at a high-growth API, cloud infrastructure, or developer platform company managing complex ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 300 - 350K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4049151007,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5257509007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5155722007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4563210007,"location":{"name":"San Francisco"},"metadata":null,"id":5155722007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"182","title":"Staff Engineer, Distributed Storage and HPC \u0026 AI Infrastructure","company_name":"Together AI","first_published":"2026-06-04T12:37:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize end-to-end data paths through advanced benchmarking and profiling, contributing high-impact code to open-source storage projects and internal tooling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in storage engineering, managing distributed storage at multi-petabyte scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record deploying and operating high-performance storage for GPU/HPC clusters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep Kubernetes and cloud-native storage experience in production environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong coding skills in Go and Python with demonstrated ability to build production-grade systems and tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS in Computer Science, Engineering, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of technical leadership: designing systems that significantly improved performance, reliability (99.999%+ uptime), or cost efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed Storage Systems: Deep expertise in either of Ceph, WekaFS, Lustre, Vast, GPFS, or similar parallel filesystems at multi-petabyte scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (TB/s aggregate cluster throughput - line saturation)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming: Go and Python for automation, operators, and tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Observability: Prometheus, Grafana, Thanos architecture and operations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have Skills\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GPU Direct Storage (GDS), NVMe-oF, storage networking, RDMA implementations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ML/AI storage patterns (model weights, checkpointing, dataset caching)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $250,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5155722007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5226095007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4675266007,"location":{"name":"Bangalore India"},"metadata":null,"id":5226095007,"updated_at":"2026-10-09T04:58:56-04:00","requisition_id":"309","title":"Staff Engineer, Distributed Storage and HPC \u0026 AI Infrastructure","company_name":"Together AI","first_published":"2026-09-11T03:09:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize end-to-end data paths through advanced benchmarking and profiling, contributing high-impact code to open-source storage projects and internal tooling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in storage engineering, managing distributed storage at multi-petabyte scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record deploying and operating high-performance storage for GPU/HPC clusters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep Kubernetes and cloud-native storage experience in production environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong coding skills in Go and Python with demonstrated ability to build production-grade systems and tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS/MS in Computer Science, Engineering, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;History of technical leadership: designing systems that significantly improved performance, reliability (99.999%+ uptime), or cost efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Distributed Storage Systems: Deep expertise in either of Ceph, WekaFS, Lustre, Vast, GPFS, or similar parallel filesystems at multi-petabyte scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (TB/s aggregate cluster throughput - line saturation)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Programming: Go and Python for automation, operators, and tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Observability: Prometheus, Grafana, Thanos architecture and operations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have Skills\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;GPU Direct Storage (GDS), NVMe-oF, storage networking, RDMA implementations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ML/AI storage patterns (model weights, checkpointing, dataset caching)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/h3\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029318007,"name":"Remote","location":"Remote","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5226095007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5140763007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4609398007,"location":{"name":"San Francisco"},"metadata":null,"id":5140763007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"R\u0026D-ENG-082","title":"Staff Machine Learning Engineer, Voice AI ","company_name":"Together AI","first_published":"2026-05-19T14:19:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You\u0026#39;ll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You\u0026#39;ll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. You\u0026#39;ll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the model serving stack that powers Together\u0026#39;s voice platform across STT, TTS, and speech-to-speech.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together\u0026#39;s infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build quality evaluation frameworks that guide model selection for customers and inform the roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Join a small, early-stage team with outsized impact on a fast-growing product area.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;[li_\u0026amp;amp;]:mb-0 [li_\u0026amp;amp;]:mt-1 [li_\u0026amp;amp;]:gap-1 [\u0026amp;amp;:not(:last-child)_ul]:pb-1 [\u0026amp;amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Own the voice inference roadmap end-to-end — define and execute the technical strategy for optimizing STT, TTS, and speech-to-speech models across Together\u0026#39;s infrastructure, with a clear-eyed view of where the field is heading and how to position the platform ahead of it.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Drive best-in-class inference performance — architect and implement systems targeting leading TTFB, throughput, and GPU utilization for voice workloads; set the performance bar others in the industry measure against, not just catch up to.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Lead productionization of voice models at scale — design the serving architecture for serverless and dedicated endpoints, including batching strategies, streaming inference pipelines, and memory management tailored to real-time audio; own reliability and latency SLAs.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Build the voice evaluation platform — design a rigorous, extensible evaluation framework covering WER across accents, languages, and noise conditions for STT; naturalness, latency, and pronunciation fidelity for TTS; establish the internal benchmark methodology that informs model selection and roadmap decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Shape the architecture for next-generation model support — anticipate and enable emerging model paradigms — audio-native LLMs, codec-based architectures (SNAC, Encodec), and end-to-end speech-to-speech systems — before they\u0026#39;re mainstream, not after.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Serve as the technical DRI for model partner integrations — lead deep collaboration with partners such as Cartesia, Deepgram, and Rime; own the full lifecycle from integration to optimization to ongoing performance accountability.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Diagnose and resolve the hardest performance problems in the stack — conduct systematic profiling and root-cause analysis from GPU kernel behavior to framework-level bottlenecks; drive shipped improvements with documented, measurable impact.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Influence platform architecture across the organization — partner with platform engineering leadership to ensure the serving layer is built for the latency and reliability demands of real-time voice APIs; your technical decisions should raise the ceiling for the whole team.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Define and scale voice fine-tuning capabilities — lead the technical direction for enabling customers to fine-tune STT and TTS models on Together\u0026#39;s infrastructure, establishing the primitives for differentiated voice experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Lay technical foundations for a category-defining product surface — architect systems with enough foresight that they support multiple new voice products with minimal rework; think in terms of platforms, not point solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;[li_\u0026amp;amp;]:mb-0 [li_\u0026amp;amp;]:mt-1 [li_\u0026amp;amp;]:gap-1 [\u0026amp;amp;:not(:last-child)_ul]:pb-1 [\u0026amp;amp;:not(:last-child)_ol]:pb-1 list-disc flex flex-col gap-1 pl-8 mb-3\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;8+ years of ML engineering experience, with a demonstrated focus on model serving, inference optimization, or ML infrastructure at production scale — including systems you\u0026#39;ve owned from design through live traffic.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Deep, practical expertise in LLM serving engines (vLLM, SGLang, TensorRT-LLM, or equivalent) — you\u0026#39;ve modified engine internals, debugged edge cases under load, and contributed improvements back; you don\u0026#39;t stop at the API surface.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Expert-level Python and PyTorch proficiency, with a strong command of GPU optimization — CUDA kernels, memory hierarchies, profiling toolchains — and a track record of turning that knowledge into shipped latency or throughput wins.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Proven system design judgment — you\u0026#39;ve made architectural decisions that held up at scale and influenced how a team or platform evolved; you can articulate the tradeoffs you made and why.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Strong technical leadership — you operate with high autonomy, define the right problems before solving them, and raise the bar for engineering quality around you without requiring process overhead.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Sharp product intuition for developer tooling — you understand what voice application developers actually need to ship great products, and you let that shape your technical priorities, not just the other way around.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Proven ability to move fast in ambiguous environments — you\u0026#39;ve thrived on early-stage or platform teams where scope is wide, ownership is deep, and the roadmap you build is the one you execute.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Strong foundation in speech and audio ML (ASR/TTS architectures, audio signal processing) — directly relevant experience is strongly preferred; exceptional ML engineering fundamentals with genuine curiosity about the domain is also considered.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Familiarity with audio codec and tokenization schemes (SNAC, Encodec, DAC) is a meaningful plus at this level.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Experience training or fine-tuning speech models at scale is a significant advantage.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body whitespace-normal break-words pl-2\u0026quot;\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s in Computer Science, Electrical Engineering, or related field — or equivalent depth demonstrated through your work.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $220,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5140763007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5180690007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4653195007,"location":{"name":"San Francisco"},"metadata":null,"id":5180690007,"updated_at":"2026-10-02T15:08:45-04:00","requisition_id":"274","title":"Staff Platform Infrastructure Engineer","company_name":"Together AI","first_published":"2026-07-10T18:06:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Together AI is hiring a Staff Platform Infrastructure Engineer to drive the service and platform infrastructure strategy across our engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and shape its direction, defining the golden path for how services are built and operated at Together.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role will support mission-critical Product and Platform teams by providing a stable, scalable service infrastructure foundation for building and operating customer-facing and internal services. The focus is on making that foundation reliable, repeatable, and easy for teams to adopt.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll own and evolve crucial shared infrastructure, roll out new infrastructure patterns and platform capabilities to service teams, and coordinate with other infrastructure teams to ensure services are built on company-wide foundations.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In your first year, you might:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ship a new golden-path service template (scaffolding, Helm chart, CI/CD, and GitOps) and move the first set of services onto it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement zero-trust policies on our production clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with DevProd and SREs on the migration to Kargo.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hire and grow the initial Platform Infrastructure team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Set the technical direction for service infrastructure across Kubernetes, AWS, CDN and edge networking, and related operational patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and build reusable infrastructure primitives, such as Helm charts and Terraform modules.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build self-service platform capabilities, operational runbooks, and AI-assisted tooling that accelerate service development and operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with service teams to modernize existing services and adopt stronger infrastructure patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Infrastructure, Networking, and Security teams to translate company-wide platform standards into practical service-level implementations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-company infrastructure initiatives such as Terraform CI/CD, Kubernetes networking, zero-trust service communication, policy-as-code, and cross-DC and cross-provider networking.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Requirements\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of professional experience in platform engineering, service infrastructure, SRE, cloud infrastructure, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep production experience with Kubernetes and AWS, including operating shared infrastructure for deployment, networking, identity, scaling, or service reliability. Examples include EKS, IAM, VPC, Route 53, CloudFront, and ECR.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience with Terraform and infrastructure delivery automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of service and edge networking, including DNS, TLS, CDNs, load balancing, and ingress and egress.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Go, Python, TypeScript, or another systems or infrastructure-oriented programming language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building reusable infrastructure used by multiple engineering teams and helping those teams adopt it in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead ambiguous, cross-functional infrastructure initiatives, with strong written technical communication and a track record of driving adoption across teams you don\u0026#39;t manage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 12pt;\u0026quot;\u0026gt;Preferred Qualifications\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with GitHub Actions, GitOps workflows, and service scaffolding.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Argo CD, Argo Rollouts, or Kargo.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing or operating CDNs, WAFs, edge infrastructure, or Layer 4 networking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with service meshes, zero-trust networking, policy-as-code, multi-region or hybrid infrastructure, or supply-chain security.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating distributed streaming systems (Kafka, Flink, Spark Streaming) as shared platform services for data teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or applying AI-assisted tooling to improve service development or operations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5180690007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5261592007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4691792007,"location":{"name":"Amsterdam"},"metadata":null,"id":5261592007,"updated_at":"2026-10-16T04:07:49-04:00","requisition_id":"338","title":"Staff Software Engineer - AI Compute, Together Cloud","company_name":"Together AI","first_published":"2026-10-16T04:07:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together\u0026#39;s inference, RL, and fine-tuning products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer focusing on AI Compute in the Together Cloud org, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an architect-and-build role. Fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes — you\u0026#39;ll set the architecture for these across our global and in-DC services, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer of a greenfield Vera Rubin data center up to the global management plane that schedules capacity across all of them. At this level the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the GPU and network virtualization stack: \u0026lt;/strong\u0026gt;the hypervisor, kernel, and SDN work that keeps GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the in-DC IaaS layer:\u0026lt;/strong\u0026gt; architect and roadmap the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers — VMs, parallel filesystems, VPCs, and InfiniBand partitions; lead its build-out for a new Vera Rubin data center with thousands of GPUs, from hardware bring-up to customer-facing API.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design the GPU scheduling and global management plane:\u0026lt;/strong\u0026gt; the distributed control plane behind on-demand and reserved clusters across dozens of data centers, including the systems that scale per-cluster limits and automate the onboarding of new capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect monitoring and automated remediation for fault tolerance: \u0026lt;/strong\u0026gt;the strategy for automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference running through hardware failures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Set technical direction across teams:\u0026lt;/strong\u0026gt; lead design reviews, resolve cross-cutting architectural disagreements, unblock cross-team dependencies and integration risks, and define the standards other engineers build against — measured in cluster reliability, time-to-first-GPU on new capacity, and quality at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Grow the team:\u0026lt;/strong\u0026gt; mentor senior and junior engineers, deepen the team\u0026#39;s expertise in virtualization, DC networking, and GPU infrastructure, and help raise the hiring bar for Together Cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Set the engineering bar:\u0026lt;/strong\u0026gt; create the testing frameworks, tools, and developer documentation that make our systems robust and usable by other teams, and shape the core, open-source Together AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;To be successful you\u0026#39;ll need to be deeply technical and an excellent communicator — expert software development fundamentals, deep systems knowledge and troubleshooting instincts, and the leadership and diplomacy skills to align teams that don\u0026#39;t report to you. Much of this work starts ambiguous, and we expect you to define the scope yourself and drive it to production.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of professional software development experience, with expert-level proficiency in at least one backend language (Golang desired), writing high-performance, well-tested, production-quality code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of owning the architecture of large distributed systems from blank page to production at scale, including the judgment calls that could not be reversed cheaply.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience building and operating globally distributed, high-performance microservice architectures across one or more cloud providers (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert systems knowledge across compute, networking, and storage — including concurrency, memory management, performant I/O, and scale at a global level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated technical leadership beyond your own commits: mentoring senior engineers, leading design reviews, and driving alignment across teams that do not report to you.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and diplomacy skills — able to write design docs that settle arguments, and to work effectively with technical and non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating reliable, customer-facing production systems at scale, and owning the infrastructure automation (Terraform, Ansible), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, ArgoCD) that keep them healthy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications (not must haves)\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep Kubernetes internals experience, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Cluster API or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on high-performance compute, networking, and/or storage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience virtualizing GPUs and/or InfiniBand\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building IaaS or PaaS systems at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with DPUs/SmartNICs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GPU programming, NCCL, CUDA knowledge\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div class=\u0026quot;job__description body\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4051033007,"name":"Amsterdam","location":"Amsterdam, North Holland, Netherlands","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5261592007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5224090007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4674330007,"location":{"name":"San Francisco"},"metadata":null,"id":5224090007,"updated_at":"2026-09-23T18:48:12-04:00","requisition_id":"308","title":"Staff Software Engineer - AI Compute, Together Cloud","company_name":"Together AI","first_published":"2026-09-23T18:48:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together\u0026#39;s inference, RL, and fine-tuning products.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Staff Software Engineer focusing on AI Compute in the Together Cloud org, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an architect-and-build role. Fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes — you\u0026#39;ll set the architecture for these across our global and in-DC services, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer of a greenfield Vera Rubin data center up to the global management plane that schedules capacity across all of them. At this level the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the GPU and network virtualization stack: \u0026lt;/strong\u0026gt;the hypervisor, kernel, and SDN work that keeps GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own the in-DC IaaS layer:\u0026lt;/strong\u0026gt; architect and roadmap the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers — VMs, parallel filesystems, VPCs, and InfiniBand partitions; lead its build-out for a new Vera Rubin data center with thousands of GPUs, from hardware bring-up to customer-facing API.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design the GPU scheduling and global management plane:\u0026lt;/strong\u0026gt; the distributed control plane behind on-demand and reserved clusters across dozens of data centers, including the systems that scale per-cluster limits and automate the onboarding of new capacity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect monitoring and automated remediation for fault tolerance: \u0026lt;/strong\u0026gt;the strategy for automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference running through hardware failures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Set technical direction across teams:\u0026lt;/strong\u0026gt; lead design reviews, resolve cross-cutting architectural disagreements, unblock cross-team dependencies and integration risks, and define the standards other engineers build against — measured in cluster reliability, time-to-first-GPU on new capacity, and quality at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Grow the team:\u0026lt;/strong\u0026gt; mentor senior and junior engineers, deepen the team\u0026#39;s expertise in virtualization, DC networking, and GPU infrastructure, and help raise the hiring bar for Together Cloud.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Set the engineering bar:\u0026lt;/strong\u0026gt; create the testing frameworks, tools, and developer documentation that make our systems robust and usable by other teams, and shape the core, open-source Together AI platform.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;To be successful you\u0026#39;ll need to be deeply technical and an excellent communicator — expert software development fundamentals, deep systems knowledge and troubleshooting instincts, and the leadership and diplomacy skills to align teams that don\u0026#39;t report to you. Much of this work starts ambiguous, and we expect you to define the scope yourself and drive it to production.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of professional software development experience, with expert-level proficiency in at least one backend language (Golang desired), writing high-performance, well-tested, production-quality code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of owning the architecture of large distributed systems from blank page to production at scale, including the judgment calls that could not be reversed cheaply.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience building and operating globally distributed, high-performance microservice architectures across one or more cloud providers (AWS, Azure, GCP).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert systems knowledge across compute, networking, and storage — including concurrency, memory management, performant I/O, and scale at a global level.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated technical leadership beyond your own commits: mentoring senior engineers, leading design reviews, and driving alignment across teams that do not report to you.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and diplomacy skills — able to write design docs that settle arguments, and to work effectively with technical and non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building and operating reliable, customer-facing production systems at scale, and owning the infrastructure automation (Terraform, Ansible), observability (Prometheus, Grafana), and CI/CD (GitHub Actions, ArgoCD) that keep them healthy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications (not must haves)\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep Kubernetes internals experience, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches to Kubernetes itself\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with VMs/hypervisors, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with DC networking tech + solutions, such as VLAN, VXLAN, VPN, VPC, OVS/OVN\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Cluster API or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on high-performance compute, networking, and/or storage\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience virtualizing GPUs and/or InfiniBand\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building IaaS or PaaS systems at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with DPUs/SmartNICs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;GPU programming, NCCL, CUDA knowledge\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $260,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div class=\u0026quot;job__description body\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026amp;nbsp;\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4033058007,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5224090007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4543435007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4332507007,"location":{"name":"San Francisco, New York City"},"metadata":null,"id":4543435007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"66","title":"Strategic Account Executive","company_name":"Together AI","first_published":"2025-01-23T18:17:08-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring a Strategic Account Executive to own a portfolio of high-priority AI-native and enterprise accounts.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll be responsible for generating pipeline, closing new business, and expanding customers across Together’s platform. You’ll work with technical teams, business leaders, and executives to understand their AI strategy and identify where Together can support production workloads, and also partner closely with Solutions, Engineering, and Research to run POC evaluations and move customers from initial use cases to broader deployments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires experience managing complex sales cycles, technical fluency, and a track record of building pipeline and closing large deals.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Close deals and drive revenue: own the full sales cycle for strategic AI-native and enterprise accounts, from prospecting through close and expansion.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage and prioritize across multiple complex sales cycles simultaneously. Be able to keep scope defined, while also being flexible in dealing with new challenges and priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generate a strong pipeline, identifying high value customer segments/use cases and strategically positioning Together’s offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Solutions Architecture, Research, and Engineering to design solutions/POCs and prove value across inference and post-training engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inform product needs by conveying customer needs, using these insights to enhance Together’s offering and market positioning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help improve Together’s sales process, positioning, and overall best practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of B2B technology sales experience, including experience with strategic startup or enterprise accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of closing and expanding strategic, complex deals – especially with deep technical/commercial requirements requiring tailored solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical and business fluency: ability to work effectively with both technical and business stakeholders, speaking with depth on technical ML/infrastructure topics while also connecting with business/C-level needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to drive external and internal alignment and a “roll up your sleeves\u0026#39;\u0026#39; mentality to problem solving. Comfort working in a fast-moving environment where the product and market evolve rapidly month over month.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to build and maintain lasting relationships over time with top strategic accounts – both from an executive and IC level, across technical and commercial orgs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion and curiosity for AI infrastructure. Be on the frontlines of inference and post-training, and shape the trajectory and narrative moving forward.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling to both AI-native companies and large enterprises\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with developer/AI/infra products preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience at a high-growth technology company\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $300K - 370K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4049151007,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4543435007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5230846007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4677600007,"location":{"name":"London"},"metadata":null,"id":5230846007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"310","title":"Strategic Account Executive Inference EMEA","company_name":"Together AI","first_published":"2026-09-14T11:57:03-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring a Strategic Account Executive (Inference) to own a portfolio of high-priority AI-native and enterprise accounts selling\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll be responsible for generating pipeline, closing new business, and expanding customers across Together’s platform. You’ll work with technical teams, business leaders, and executives to understand their AI strategy and identify where Together can support production workloads, and also partner closely with Solutions, Engineering, and Research to run POC evaluations and move customers from initial use cases to broader deployments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires experience managing complex sales cycles, technical fluency, and a track record of building pipeline and closing large deals.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Close deals and drive revenue: own the full sales cycle for strategic AI-native and enterprise accounts, from prospecting through close and expansion.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage and prioritize across multiple complex sales cycles simultaneously. Be able to keep scope defined, while also being flexible in dealing with new challenges and priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Generate a strong pipeline, identifying high value customer segments/use cases and strategically positioning Together’s offerings.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Solutions Architecture, Research, and Engineering to design solutions/POCs and prove value across inference and post-training engagements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Inform product needs by conveying customer needs, using these insights to enhance Together’s offering and market positioning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help improve Together’s sales process, positioning, and overall best practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of B2B technology sales experience, including experience with strategic startup or enterprise accounts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Must have 1-2 years having a track record of closing Inference Opportunities.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of closing and expanding strategic, complex deals – especially with deep technical/commercial requirements requiring tailored solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical and business fluency: ability to work effectively with both technical and business stakeholders, speaking with depth on technical ML/infrastructure topics while also connecting with business/C-level needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to drive external and internal alignment and a “roll up your sleeves\u0026#39;\u0026#39; mentality to problem solving. Comfort working in a fast-moving environment where the product and market evolve rapidly month over month.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to build and maintain lasting relationships over time with top strategic accounts – both from an executive and IC level, across technical and commercial orgs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion and curiosity for AI infrastructure. Be on the frontlines of inference and post-training, and shape the trajectory and narrative moving forward.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Preferred Qualifications\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience selling to both AI-native companies and large enterprises\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with developer/AI/infra products preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience at a high-growth technology company\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4049151007,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4051035007,"name":"London","location":"London, England, United Kingdom","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5230846007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5212018007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4668553007,"location":{"name":"San Francisco"},"metadata":null,"id":5212018007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"298","title":"Strategic Finance Senior Associate - Compute","company_name":"Together AI","first_published":"2026-08-17T12:31:16-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Finance Senior Associate at Together, you will own the cost side of our data center build-outs. Reporting to the Director of Strategic Finance, Infrastructure, you will be the financial counterpart to our Infrastructure Strategy team: building and maintaining the cost base for every deployment, validating that build-outs are tracking to plan, and helping evaluate the economics of the sites we take on next.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, high-ownership role at the center of the largest capital decisions the company makes. The ideal candidate has done this before: inside a hyperscaler, neocloud, colocation provider, or data center developer, or covering data centers from the investing side, and pairs real infrastructure fluency with exceptional financial rigor.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the cost base and cost forecast for Together\u0026#39;s data center build-outs, spanning data center non-recurring costs, hardware capex across GPUs, networking, and storage, and ongoing operating costs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validate that build-outs are tracking to plan: maintain budget-versus-actual against approved estimates, flag variances early with a clear read on the driver, and work with Infrastructure Strategy and Infrastructure Engineering to close them out\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain the all-in unit cost of owned capacity, on a dollars-per-GPU-hour basis by GPU type, as the source of truth used for pricing, margin, and capital allocation decisions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Infrastructure Strategy to evaluate new data center opportunities, building the economics for candidate sites including prepays, financing requirements, tax treatment and incentives, and total cost of ownership over the life of the site\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pressure-test hardware cost assumptions and surface savings opportunities with Infrastructure Engineering and Infrastructure Strategy, from equipment choices to storage sizing and cluster configuration trade-offs at different scales\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate hardware delivery timelines and payment milestones maintained by Infrastructure Strategy into the cash forecast, and own tracking of prepays to hardware and data center suppliers, so that cash forecasting reflects real commitments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the reporting layer: dashboards and recurring processes that give leadership a current view of committed capital, spend to date, and forecast to complete, by site\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4+ years of experience with substantive exposure to data center or large-scale infrastructure capex, via one of two paths:\u0026lt;/li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Operating side: finance, capex planning, or infrastructure strategy/FP\u0026amp;amp;A at a hyperscaler, neocloud, colocation provider, data center developer, or another operator running large build-out programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Investing side: investment banking, infrastructure investing, or project finance with a data center / digital infrastructure focus, ideally paired with time in-house at an operator\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of the cost stack of a data center build: non-recurring costs, hardware capex (GPUs, networking, storage), power and cooling, and ongoing operating costs, and how each flows through COGS, depreciation, and cash\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional financial modeling skills, including site-level TCO and scenario analysis, with the ability to distill a complex build into the handful of drivers that actually move the outcome\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ownership of budget-versus-actual for large capital projects, with the discipline to catch variances early and the credibility to drive them to resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working directly with technical partners: able to hold a substantive conversation with infrastructure engineers, translate it into a cost number, and communicate the result clearly to non-technical and non-financial audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional business judgment and intuition, with the creativity and problem-solving instincts to tackle novel questions where there is no established playbook\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong work ethic and self-directed, with the ability to manage multiple workstreams under tight timelines and close attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $138k - $175k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4046768007,"name":"Finance","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5212018007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5210933007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4668041007,"location":{"name":"San Francisco"},"metadata":null,"id":5210933007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"290","title":"Strategic Finance Senior Associate - Revenue","company_name":"Together AI","first_published":"2026-08-13T12:56:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Strategic Finance Senior Associate, you will own the company’s end-to-end revenue forecast as we scale. You will model a dynamic revenue base shaped by customer usage, new GPU deployments, product mix, and other key business drivers, translating these inputs into actionable insights for leadership. Beyond forecasting, you will proactively identify opportunities to accelerate revenue growth and improve business performance. You will serve as a strategic thought partner to teams across the company, including GTM, Product, and Infrastructure Engineering, helping to evaluate tradeoffs and drive execution against Together’s growth priorities.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a hands-on, high ownership role. You will be part of a lean Strategic Finance team, with the opportunity to help drive strategic initiatives across the business as well as shape the strategic finance function of a rapidly growing AI infrastructure startup.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the revenue model and forecast across sales-led and self-serve motions, partnerships, new business, renewals, churn, and new hardware deployments - spanning both committed contracts and consumption/usage-based revenue\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare clear, concise analyses and reporting for leadership on revenue performance, forecast risk, and the drivers behind variances\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build expertise to deeply understand the company\u0026#39;s product offerings, product portfolio and associated nuances\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Go beyond reporting the number: proactively identify levers to grow revenue and work with Product, GTM, and Infrastructure Engineering to execute them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with long-range planning (LRP) and building the company\u0026#39;s overall financial strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build repeatable processes and tooling (dashboards, models, reconciliations) that make revenue forecasting faster and more reliable each quarter\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be ready to roll up your sleeves and assist with other strategic finance initiatives and priorities to drive business impact and help the company grow\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2 – 4 years of experience, ideally 2 years in investment banking or consulting paired with 1 – 2 years in private equity, growth equity, or venture capital; strategic finance or FP\u0026amp;amp;A experience at a high-growth company is also a strong fit\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional financial modeling skills and close attention to detail, with the discipline to build models that are auditable and the instinct to catch errors before they reach leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced Excel / Google Sheets skills; familiarity with SQL is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to build relationships with cross-functional partners in GTM, Infrastructure Engineering, and Product\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional business judgment and intuition, with the creativity and problem-solving instincts to tackle novel questions where there is no established playbook\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong work ethic and self-directed, with the ability to manage multiple workstreams under tight timelines\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with usage-based or consumption revenue models is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $138k – $175k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4046768007,"name":"Finance","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5210933007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4188119007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_optional","internal_job_id":4125604007,"location":{"name":"San Francisco"},"metadata":null,"id":4188119007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"15","title":"Systems Research Engineer, GPU Programming","company_name":"Together AI","first_published":"2024-01-16T09:59:54-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of ML/AI applications and models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of performance profiling and optimization tools for GPU programming\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent problem-solving and analytical skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s, Master\u0026#39;s, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Optimize and fine-tune GPU code to achieve better performance and scalability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay up-to-date with the latest advancements in GPU programming techniques and technologies\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $300,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt; \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4188119007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238460007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681069007,"location":{"name":"San Francisco"},"metadata":null,"id":5238460007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"319","title":"Systems Research Engineer Intern - GPU Programming (Summer 2027)","company_name":"Together AI","first_published":"2026-09-18T11:45:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Optimize and fine-tune GPU code to achieve better performance and scalability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay up-to-date with the latest advancements in GPU programming techniques and technologies\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of ML/AI applications and models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of performance profiling and optimization tools for GPU programming\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent problem-solving and analytical skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span either May 17th to August 6th or June 14th to September 3rd.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238460007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238411007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4681041007,"location":{"name":"San Francisco"},"metadata":null,"id":5238411007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"318","title":"Systems Research Engineer Intern - GPU Programming (Winter 2027)","company_name":"Together AI","first_published":"2026-09-18T11:45:36-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Role Overview\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Optimize and fine-tune GPU code to achieve better performance and scalability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay up-to-date with the latest advancements in GPU programming techniques and technologies\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of ML/AI applications and models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of performance profiling and optimization tools for GPU programming\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent problem-solving and analytical skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Internship Program Details:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort\u0026#39;s internship dates span January 4th to April 9th.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033059007,"name":"Research","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238411007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5238633007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4681172007,"location":{"name":"San Francisco"},"metadata":null,"id":5238633007,"updated_at":"2026-09-28T15:17:22-04:00","requisition_id":"330","title":"Technical Marketing Engineer","company_name":"Together AI","first_published":"2026-09-15T19:55:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About The Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Most of what makes Together AI so valuable for customers is invisible from the outside. Optimizing kernels, scheduling, quantization, speculative decoding, and more create an industry-leading platform for inference and post-training at scale. As a technical marketing engineer, you are the conduit between the engineering and research work and the developers who should know about it. You go deep with product, engineering, research, and CX to learn the platform at the level of nuanced technical detail, then decide which details matter to an AI builder and build content that makes them care.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a creator role. You are a technical storyteller. You\u0026#39;ll produce social-native posts, technical blogs, performance benchmarks, demo and explainer videos, and thought leadership, all aimed at one outcome: building Together’s credibility with developers. You\u0026#39;ll also own our technical communities on X, YouTube, Discord, Linkedin and the engagement metrics for developer content company-wide, including amplifying the work of engineers and researchers who publish under their own names.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with product, engineering, DevRel, research, and CX to learn new capabilities in technical depth, then extract the most meaningful aspects for a developer audience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create the content strategy based on deep understanding of our company’s differentiation and marries that with an understanding of the content that would resonate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build technical content across formats: blogs, videos, benchmark reports, podcasts, and short-form posts that drive engagement with developers and preference for Together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor real-time news and announcements related to AI infrastructure and lead timely responses working with product and engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own Together\u0026#39;s presence in technical communities, primarily X, Discord and Youtube. Track engagement metrics, what lands, what doesn\u0026#39;t, and adjust.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive amplification of engineering and research work across social channels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be the heartbeat of the Together AI technical community - understanding the developers and researchers who follow us and enabling them to be successful\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experiment and test new ideas to see what resonates with the community\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;While the role involved mainly online engagement (80%), there is an aspect of translating their deep understanding to deliver highly engaging in-person meet ups and events (20%) in collaboration with Events/ DevRel teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of product, technical or developer marketing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience creating content for infrastructure or technical systems, not user-facing SaaS applications. You\u0026#39;ve explained how something works under the hood.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Loves building social community presence, posting, engaging, monitoring with technical audiences, with experience managing channels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical depth sufficient to hold a real conversation with engineers about architecture, performance, and tradeoffs, and to write about it accurately (partnering with SMEs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A portfolio of technical content you created with the metrics that show engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI infrastructure: inference, fine-tuning, GPU compute, model serving, or adjacent systems (including databases, data infrastructure, or storage infrastructure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience running and interpreting performance benchmarks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency with developer communities on social platforms, and judgment about what earns engagement there versus what gets ignored.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Innate curiosity about how things work, and the instinct to show the market what you find.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and ability to build something from ground up\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data-driven and ideas person - always thinking of new experiments and content\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, reinforcement learning to create specialized models, and pre-training for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves over 400 trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200K-230K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062690007,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5238633007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5262787007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4692350007,"location":{"name":"San Francisco"},"metadata":null,"id":5262787007,"updated_at":"2026-10-16T01:32:34-04:00","requisition_id":"339","title":"Technical Sourcer - Engineering","company_name":"Together AI","first_published":"2026-10-16T01:32:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This is not a traditional sourcing role. We\u0026#39;re looking for someone who was an engineer first and wants to put that technical depth to work finding and winning the best engineers in the market. You will own proactive outbound sourcing only the top 1% technical talent in the Bay Area and our other hubs identifying them, reaching them, and judging their work on its merits before anyone else does.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build and run outreach campaigns, keep pipelines full for specific engineering roles, and bring a steady, systematic hustle to it. What sets this role apart is that you can evaluate technical talent. You can read a GitHub profile and see the signal in it. You can run a genuinely technical first call, get into the nuts and bolts of what someone built and their level of ownership, and tell the difference between top-tier and the rest after a single conversation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll report directly to the hiring manager on a tight-knit team of six, with visibility and room to grow into ownership of how we source and evaluate engineering talent. We\u0026#39;ll teach you the recruiting craft - the technical judgment is what you bring.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Responsibilities\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain pipelines of top-1% engineering talent for specific open roles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and run proactive outreach campaigns to elite engineers - persistent, high-volume, and well-written\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review GitHub profiles and other technical signals to identify genuinely strong candidates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run technical first calls that go deep on what a candidate actually built\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Screen for real quality, filtering aggressively so that only the best talent reaches the hiring team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with the hiring manager and recruiter to calibrate on what \u0026quot;great\u0026quot; looks like for each role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help shape Together AI\u0026#39;s approach to technical sourcing as the function grows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Requirements\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A hands-on engineering background - you\u0026#39;ve worked as an engineer of some kind. A CS degree is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to read a GitHub profile and glean real signal about someone\u0026#39;s depth and quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enough current technical fluency to run a deep, credible first call with a strong engineer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Persistence, hustle, and resilience - you\u0026#39;re energized by outbound and unfazed by rejection\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written communication that gets busy engineers to reply\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Based in San Francisco\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Recruiting or sourcing experience is a bonus, not a requirement - we\u0026#39;ll teach you that part.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $125,000 - $190,000K + equity + benefits + incentive bonus. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4033062007,"name":"People","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5262787007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/4840844007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4480571007,"location":{"name":"Pune or Bangalore, India"},"metadata":null,"id":4840844007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"155","title":"Technical Support Engineer (GPU Cluster), India ","company_name":"Together AI","first_published":"2025-08-28T21:59:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role \u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Customer Support Engineer at a pioneering AI company, you\u0026#39;ll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You\u0026#39;ll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong data-start=\u0026quot;522\u0026quot; data-end=\u0026quot;543\u0026quot;\u0026gt;Working Schedule\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This position operates on a non-standard workweek to support business needs. The schedule will be either\u0026amp;nbsp;Saturday–Wednesday or Wednesday–Sunday, with two weekly off days.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work for the respective hiring region. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at\u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt; https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062689007,"name":"Customer Success","child_ids":[],"parent_id":null}],"offices":[{"id":4029318007,"name":"Remote","location":"Remote","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/4840844007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5233125007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4678792007,"location":{"name":"Pune or Bangalore, India"},"metadata":null,"id":5233125007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"314","title":"Technical Support Engineer - India","company_name":"Together AI","first_published":"2026-09-10T19:46:06-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Technical Support Engineer at a pioneering AI company, you\u0026#39;ll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You\u0026#39;ll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Triage and respond to inbound support tickets across self-serve and enterprise customers using a support/CRM platform; identify patterns in ticket clusters (e.g., a wave of the same error code), surface them to engineering with context and affected case lists, and follow through to resolution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Draft clear, accurate status updates and maintenance notifications for customers during planned maintenance windows or incidents; communicate expected impact without exposing internal platform details.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Answer customer questions about the platform\u0026#39;s API, model/fine-tuning workflows, model availability, and deployment/endpoint configuration; reproduce reported errors to confirm expected vs. broken behavior and provide actionable next steps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provision and configure SSO connections for enterprise customers (Google Workspace, Okta, Azure AD, etc.); guide customers through IdP-side setup steps; diagnose login failures by cross-referencing the platform\u0026#39;s identity provider configuration against the customer\u0026#39;s; escalate confirmed platform-side gaps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Triage customer billing questions using billing/subscription tooling (e.g., Stripe, Metronome, or equivalent); process or coordinate refunds for prepaid credits and disputed charges; investigate negative-balance and credit-limit enforcement issues; escalate edge cases to the billing/finance team with full context.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resolve API key creation failures, org linkage issues, and project/key limit requests; coordinate user access changes (adding/removing org members, SSO org ownership transfers); investigate tenant isolation issues.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience in a customer-facing technical role\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable reading and writing curl/HTTP requests, interpreting JSON error responses, and understanding concepts like bearer tokens, rate limits, and API key scoping; no deep software engineering background required, but must be able to follow and reproduce API-level issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with how SaaS billing works (invoices, prepaid credits, refunds); comfortable navigating admin dashboards and understanding what a payment state means.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of SAML and OIDC concepts (ACS URL, audience URI, attribute mapping, IdP vs. SP); enough to walk a customer\u0026#39;s IT admin through a configuration and recognize whether an error is on the customer side or platform side.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with a customer support platform (Zendesk, Intercom, Pylon, Freshdesk, or similar); comfortable managing a queue, updating ticket state, and writing internal notes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with how language model APIs work (tokens, context windows, serverless vs. dedicated inference)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our Privacy Policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4062689007,"name":"Customer Success","child_ids":[],"parent_id":null}],"offices":[{"id":4029317007,"name":"San Francisco","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5233125007/ai_opt_out"},{"absolute_url":"https://job-boards.greenhouse.io/togetherai/jobs/5069532007","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4600753007,"location":{"name":"Pune or Bangalore, India"},"metadata":null,"id":5069532007,"updated_at":"2026-09-23T12:49:24-04:00","requisition_id":"S\u0026M-CSX-028","title":"Technical Support Engineer (Inference) - India Weekends","company_name":"Together AI","first_published":"2026-03-10T16:37:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Technical Support Engineer at a pioneering AI company, you\u0026#39;ll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You\u0026#39;ll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Required hours\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;This is a fulltime position working India daytime hours. The role will work both weekend days (Saturday and Sunday) as well as two additional weekdays.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;This is a 4-day shift, 10 hours per day, with 2 additional hours of on-call coverage on Saturdays and Sundays.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The role would start as a Monday to Friday role for the first few months to allow for ramping up and learning from teammates. After being considered fully ramped, the role would transition to the 4-day weekend shift.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a customer facing SRE to ensure our customer’s Inference endpoints (running on Kubernetes) remain healthy, stable, and performant\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with hardware and platform migrations by validating system health and traffic routing. Monitor dashboards to detect anomalies and escalate with data-backed analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage customer-facing communications during incidents and degradations; translate deep technical findings (latency regressions, provider issues, network reachability drops) into clear, evidence-backed updates without exposing platform internals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute infrastructure changes for model deployment, capacity rebalancing, and cluster configuration. You will execute infrastructure changes via pull requests (infra-as-code) for tasks such as endpoint configuration, model bringup/bringdown, and capacity scaling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flag engine-level bugs with logs and reproduction steps for engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years of experience in a customer-facing technical role, SRE, DevOps, or infrastructure engineering, with at least 1 year in a support role for an AI service\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced, production-level experience with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, and container infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with operating storage systems in HPC environments such as Vast and Weka\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to diagnose complex network-layer issues and read traces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong knowledge of Python, TypeScript, and/or JavaScript with testing/debugging experience using curl and Postman-like tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise with observability tooling (e.g., Prometheus, Grafana) at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep familiarity with REST API debugging and HTTP semantics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with LLM inference frameworks and LoRA fine-tuning and common training failure modes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Infrastructure as Code and Git-based workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in GPU cluster management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cloud platform experience (AWS, GCP, and/or Azure)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Together AI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work for the respective hiring region. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Please see our privacy policy at \u0026lt;a href=\u0026quot;https://www.together.ai/privacy\u0026quot;\u0026gt;https://www.together.ai/privacy\u0026lt;/a\u0026gt;.\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4062689007,"name":"Customer Success","child_ids":[],"parent_id":null}],"offices":[{"id":4029318007,"name":"Remote","location":"Remote","child_ids":[],"parent_id":null}],"ai_disclaimer":"\u003cp\u003eWe use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.\u003c/p\u003e","include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app7.greenhouse.io/ai_opt_out_request/job_post/5069532007/ai_opt_out"}],"meta":{"total":78}}