{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4236670009","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":4138317009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4236670009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"119","title":"AI Native Account Executive","company_name":"Fireworks AI","first_published":"2026-04-30T13:22:11-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Fireworks is building the fastest and most scalable generative AI platform in the world. We help leading startups and enterprises deploy open-source and custom LLMs in production with best-in-class performance, latency, and cost efficiency. Backed by Sequoia, Lightspeed, and Benchmark, Fireworks is trusted by GenAI-native companies like Cursor, Vercel, Genspark,\u0026amp;nbsp; and others across healthcare, finance, and developer tooling. We’re past $300M+ ARR and growing fast. Join us to define how GenAI gets adopted in the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring an \u0026lt;strong\u0026gt;AI Native Account Executive\u0026lt;/strong\u0026gt; to drive adoption of Fireworks within the most ambitious GenAI startups. You’ll engage deeply with technical founders, ML leads, and product teams — helping them understand how Fireworks fits into their stack and guiding them through evaluation, onboarding, and scale-up. This isn’t a traditional transactional sales role: we’re looking for someone who can speak credibly to technical teams, identify high-impact use cases, and relentlessly pursue value creation for the customer. You’ll work cross-functionally with GTM engineers, product, and applied ML to unblock adoption, accelerate time to value, and grow usage in your accounts.\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 a portfolio of GenAI-native startup accounts and drive adoption across key use cases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Actively identify, engage, and qualify new high-potential prospects through warm outreach, events, and network-driven channels\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical and product conversations with founders, ML engineers, and infra leads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help customers get live quickly by coordinating onboarding, benchmarking, and integration efforts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with internal teams to shape tailored solutions, POCs, and fine-tuning approaches\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate customer feedback into actionable insights for the product and engineering teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track account health and usage data to identify expansion opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a visible representative of Fireworks in the GenAI ecosystem — including attending demo days, meetups, and online communities\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;You Might Be a Fit If You\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Have \u0026lt;strong\u0026gt;3+ years of experience\u0026lt;/strong\u0026gt; in sales, business development, customer success, or product roles focused on technical buyers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Thrive in fast-moving environments and love engaging with startup founders and builders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Can understand and explain technical topics like open source\u0026amp;nbsp; inference, API performance, model tuning, or GPU architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are proactive, persistent, and creative in breaking into accounts and building relationships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have strong communication skills and can earn trust with both engineers and executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Want to be on the front lines of the GenAI movement and work closely with companies shaping the future\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work directly with some of the most innovative GenAI startups in the world\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Join a lean, high-impact GTM team where your work directly drives company growth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build lasting relationships and help startups get real value from powerful infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with world-class engineers and operators building at the bleeding edge of AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competitive base salary, strong equity, and long-term upside\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;On Target Earnings (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$200,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000414009,"name":"Go To Market","child_ids":[4000413009,4001191009],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4032516009,"name":"San Francisco Bay Area","location":"San Francisco, California, United States","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4274911009","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":4160433009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4274911009,"updated_at":"2026-06-05T13:31:22-04:00","requisition_id":"142","title":"AI Native - Strategic, Account Executive","company_name":"Fireworks AI","first_published":"2026-06-05T13:31:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We’re hiring an \u0026lt;strong\u0026gt;AI Native - Strategic Pursuits Account Executive\u0026lt;/strong\u0026gt; to drive adoption of Fireworks within the most ambitious and strategic AI companies. This isn’t a traditional sales role: we’re looking for someone who can speak credibly to technical teams, identify high-impact use cases, and relentlessly pursue value creation for the customer.\u0026amp;nbsp; We are looking for highly motivated, networked, and technically adept individuals to serve as trusted advisors to our most important customers and prospects.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll engage deeply with technical founders, ML leads, and product teams,\u0026amp;nbsp; helping them understand how Fireworks fits into their stack and guiding them through evaluation, onboarding, and scale-up. You’ll work in lockstep with our Applied AI team on key accounts, partner with product and ML specialists to architect the right technical approach, and run a clean commercial cycle with our GTM partners. You’ll be the quarterback of the account from initial POC through production at scale.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Technical Partnership \u0026amp;amp; Execution\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead technical and product discovery and conversations with founders, ML engineers, and infra leads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with Field Engineering, Applied AI, Product and Research teams to shape tailored solutions, POCs, and fine-tuning approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate customer feedback into actionable insights for Fireworks product and engineering with specificity and urgency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help customers get live quickly by coordinating onboarding, benchmarking, and integration efforts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Deal Management \u0026amp;amp; Commercial Execution\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage multiple concurrent accounts with fast iteration cycles. Prioritize ruthlessly, keep scope tight, and maintain momentum.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Structure and negotiate complex commercial terms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Actively identify, engage, and qualify new prospects through executive and investor networks, industry events, and partnerships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run a disciplined operating cadence with your portfolio of customers: reviewing key trends, driving outcomes, and jointly planning the next phase of the partnership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Executive Alignment and Ecosystem Presence\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the relationship with key Strategic AI Native accounts, from first engagement through production deployment. Earn trust with ML engineers and Founders in the same meeting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Nurture and shape strong executive relationships.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Be a visible representative of Fireworks in the AI startup ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;You Might Be a Fit If You\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Have \u0026lt;strong\u0026gt;7+ years of experience\u0026lt;/strong\u0026gt; as a PM, strategic account executive, VC,, or previous management consulting experience focused on serving highly technical buyers and portfolio companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to run multi-threaded customer engagements: mapping stakeholders, managing commercial cycles, and maintaining deal and relationship momentum\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical fluency to lead discovery with ML engineers and infrastructure leads and ability to discuss open-source vs. proprietary models, model tuning, reserved capacity, and compliance requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Thrive in fast-moving environments and love engaging with leading startup founders and builders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are proactive, persistent, and creative in breaking into accounts and building lasting relationships throughout the organization\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have strong communication skills and can earn trust with both engineers and executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Want to be on the front lines of the AI movement and work closely with companies shaping the future\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Help define AI Native Strategic Pursuits go-to-market for one of the fastest-growing AI infrastructure companies in the world\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work directly with the most innovative AI startups\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Join a lean, high-impact GTM team where your work drives outsized influence on company trajectory\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build lasting relationships and help startups get real value from best-in-class infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with world class engineers and operators building at the bleeding edge of AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competitive salary, equity in a fast-growing startup, comprehensive benefits package, and long-term upside\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;OTE Pay Range (Plus Equity)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;$280,000-$320,000 USD; 50/50 split + Stock Options\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;On Target Earnings (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$280,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$320,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000414009,"name":"Go To Market","child_ids":[4000413009,4001191009],"parent_id":null}],"offices":[{"id":4032516009,"name":"San Francisco Bay Area","location":"San Francisco, California, United States","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4001304009","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":4001118009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4001304009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"33","title":"Applied Machine Learning Engineer","company_name":"Fireworks AI","first_published":"2025-05-09T16:15:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Key Responsibilities:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Customer Success:\u0026lt;/strong\u0026gt; Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Demo / Proof of Concept (PoC):\u0026lt;/strong\u0026gt; Build and present compelling PoCs that demonstrate the capabilities of our AI technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Application Build:\u0026lt;/strong\u0026gt; Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Platform Features / Bug Fixes:\u0026lt;/strong\u0026gt; Contribute to the internal ML platform, including adding features and resolving issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;New Model Enablements:\u0026lt;/strong\u0026gt; Integrate and enable new machine learning models into the existing platform or client environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Performance Optimizations:\u0026lt;/strong\u0026gt; Improve system performance, efficiency, and scalability of deployed models and applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partnership Enablement:\u0026lt;/strong\u0026gt; Work closely with partners to enable joint AI solutions and ensure seamless collaboration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Engineering, or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Robust coding skills required, preferably with proficiency in Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to lead and execute complex technical projects with a focus on customer success.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Qualifications:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master’s degree in Computer Science, Engineering, or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in a startup or fast-paced environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$170,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4254355009","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":4144920009,"location":{"name":"Remote, USA; San Mateo, CA"},"metadata":null,"id":4254355009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"125","title":"Director, Sales Enablement","company_name":"Fireworks AI","first_published":"2026-05-20T17:39:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re building Go To Market Enablement from (almost) zero. The skeleton exists — a 4-week onboarding program, a pitch deck library, a pitch certification process — but nobody owns it. This hire will transform that ball of clay into a high velocity, dynamic enablement foundation for our team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The number one trait this hire brings to our company is curiosity. It’s essential to truly understand and love our products and our industry. This person wants to be an expert in AI and will get to spend a lot of time with our product and engineering teams understanding our platform and industry.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are searching for someone who builds the baseline content, makes certification real, and then stays on the floor with the team — watching calls, giving feedback, running workshops, and genuinely caring whether individual reps get better.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our current sales team is smart and motivated. We want to equip them with a consistent pitch, real certification, a go-to resource when they need it.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;What You\u0026#39;ll Build\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;AE Onboarding Program\u0026lt;/strong\u0026gt; — Own and continuously improve the 4-week ramp (AI/ML fundamentals → product → sales process → pitch certification). Assess what works, cut what doesn\u0026#39;t, and make it something new hires actually reference after week four.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Pitch Deck and Talk Track Library\u0026lt;/strong\u0026gt; — Maintain and expand the use-case pitch library (code completion, code fixing, conversational AI, search, voice, agentic). Keep them current as the product and competitive landscape evolves.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Certification Program\u0026lt;/strong\u0026gt; — Design and run quarterly pitch certification with real stakes: rubric, scoring, feedback loops. Not a quiz. An actual rep-by-rep assessment with follow-through for reps who don\u0026#39;t pass.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Ongoing Rep Coaching\u0026lt;/strong\u0026gt; — Sit in on calls, debrief with AEs, run small group workshops. Be the person reps come to when a deal is stuck and they need help sharpening their narrative.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Programs That Make Enablement Stick\u0026lt;/strong\u0026gt; — Deal storytelling sessions, win/loss reviews, rep spotlights, peer learning. Things the team actually looks forward to.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Model and Competitive Enablement Cadence\u0026lt;/strong\u0026gt; — Keep seller briefs current as we add new models and as competitors move. The team needs to stay sharp without reading documentation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Minimum Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in sales enablement or sales training at a technical B2B company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has built an enablement program from scratch — not inherited and maintained, but built\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has directly coached AEs one-on-one, not just designed content for them\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong writer — can author pitch decks, talk tracks, and training materials that reps actually use\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable in fast-moving environments where the product roadmap changes quarterly\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in AI/ML, infrastructure, developer tools, or a technical API-first company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has designed and run a sales certification program with real evaluation criteria\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knows how to enable AEs to be credible with technical buyers (ML engineers, platform leads) without turning them into pseudo-SEs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience enabling both commercial and enterprise motion simultaneously\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$246,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$270,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000414009,"name":"Go To Market","child_ids":[4000413009,4001191009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4277696009","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":4000265009,"location":{"name":"New York, NY; Remote, USA; San Mateo, CA"},"metadata":null,"id":4277696009,"updated_at":"2026-06-05T19:21:22-04:00","requisition_id":"11","title":"Enterprise Account Executive","company_name":"Fireworks AI","first_published":"2026-06-05T19:21:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an experienced Enterprise Account Executive to join our sales team. The ideal candidate has a solid track record at early-stage startups, selling to technical stakeholders, and consistently exceeding quotas by closing six-figure deals. This role demands a driven individual capable of navigating the complexities of selling software solutions to large enterprises, with a keen understanding of the technical nuances involved.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive new business opportunities by developing and executing a sales strategy for selling Fireworks AI within targeted accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain a deep understanding of Fireworks AI\u0026#39;s offerings and value proposition, effectively articulating them in the market\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Focus on pipeline generation within your targeted accounts to ensure long-term success\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interact with and leverage the Channel and Alliance partner community to find new opportunities and drive existing deals to close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the entire sales cycle from prospecting to procurement\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Forecast accurately and leverage internal resources to hit your annual quota efficiently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Regularly update all active accounts, reporting on sales activities, status, and progress\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain a high level of customer satisfaction and referenceability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel for client visits and presentations as needed\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or 8-10+ years of working experience\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years of progressive SaaS software sales experience, with a proven \u0026quot;hunter\u0026quot; mentality; 3+ years experience selling SaaS products to a technical audience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in closing business in large complex enterprise accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent negotiation, analytical, financial, and organizational skills, thriving in an evolving entrepreneurial environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding verbal and written communication skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Fireworks AI\u0026#39;s goal is to provide competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for candidates in the San Francisco Bay Area for this role is $310,000 - $350,000 per year.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;On Target Earnings (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$310,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$350,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000414009,"name":"Go To Market","child_ids":[4000413009,4001191009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4256942009","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":4150120009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4256942009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"135","title":"Field Marketing Manager, Startups","company_name":"Fireworks AI","first_published":"2026-05-22T14:24:43-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h3\u0026gt;About The Role:\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This is a new role within the Fireworks AI Marketing team, key to driving our pipeline efforts within events and creating a program for startup founders and early-stage operators. You’ll own the community, content, and marketing programs needed to build a vibrant, active, and engaged founder/operator network—one that shares startup journeys and best practices, provides product feedback internally, and champions Fireworks as an essential tool for early-stage teams. If you\u0026#39;re a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative programs that directly shape Fireworks AI\u0026#39;s brand experience in SF.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll collaborate closely with cross-functional stakeholders in sales and customer success, delivering events that bolster the AMER sales team. You\u0026#39;ll partner with our product marketing, creative studio, partner, devrel, and demand generation teams to develop high-value events. These in-person experiences will provide top-notch content and experiences for our customers and prospects.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Create top notch experiences to delight customers and prospects, with a guest-first approach to creating field events and experiences that bring our brand and product to life.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end planning, execution, vendors, budgets, timelines of all event and field programs, including executive dinners, roundtables. workshops, trade-shows, and co-sponsored partner activations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive measurable pipeline and revenue impact from every program\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-up\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work hand-in-hand with sales teams to build targeted invite lists and ensure strong attendance from priority accounts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track and report on program ROI to make recommendations on how we invest in field events to drive incremental business impact.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Skills You\u0026#39;ll Need to Bring:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5 + years of field marketing or event marketing experience in B2B SaaS\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for all things field and experiential marketing. You understand the purpose and place for all types of events - executive events, tradeshows, networking events - taking pride in delivering on the finest of details that make the difference between a good event and a \u0026lt;em\u0026gt;great\u0026lt;/em\u0026gt; event.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are a strong cross-functional collaborator who can work effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working cross functionally with sales leadership, sales representatives, customer success, creative, content, and product marketing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in CRM and marketing automation software, must is Salesforce\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Nice to Haves:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a startup or hyper-growth company is preferred; especially within the Bay Area\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in startup marketing (B2B startup / founder-led GTM) is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience delivering both in-person field events \u0026amp;amp; larger scale user conferences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the AI/ML landscape and how developer and enterprise teams are adopting AI solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$210,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$230,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000415009,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4008626009","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":4006980009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4008626009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"54","title":"Forward Deployed Product Manager","company_name":"Fireworks AI","first_published":"2025-07-14T23:36:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The ideal Forward Deployed Product Manager (FDPM) candidate is a customer obsessed AI product manager who thrives on our customers’ successful outcomes. You will spend most of your time talking to customers and connecting their technical requirements to the Fireworks product offerings. FDPMs ensure our customers’ success by building and delivering solutions that meet their needs. They translate customer feedback into internal product requirements for\u0026amp;nbsp; scalable products that land with customers.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Customer Journey\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and propose tailored solutions and proof-of-concepts (POCs) that demonstrate the value of Fireworks’ platform in real customer environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead onboarding and implementation efforts, including fine-tuning workflows, latency benchmarks, API integration, and infrastructure alignment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a trusted technical advisor to customers, helping shape their GenAI strategy using Fireworks infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Fireworks Product Roadmap\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Translate customer insights into structured product definition, identifying common themes and high-leverage feature requests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with engineering and applied ML teams to align customer needs with technical roadmap\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive execution of product development, ensuring that new products land successfully with customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee Fireworks roadmap, ensuring that reflects customer needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong technical background (CS/EECE background and/or production level development experience) or technical product management experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Intimate familiarity with LLMs, fine-tuning, model inference, agents etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2 - 5+ years of experience in products for software engineers (hiring at multiple levels for this role)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong customer interaction skills, deep customer success focus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate highly technical concepts to all kinds of audiences including the latest AI developments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Focus on driving outcomes, not just technical milestones\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to navigate complex customer/technical scenarios and come up with creative solutions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in technical product management roles with high degree of customer interactions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest in generative AI or developer tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Early startup or founding experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior technical leadership / technical PM experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$170,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000422009,"name":"Product","child_ids":[],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4260883009","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":4151774009,"location":{"name":"Remote, USA; San Mateo, CA"},"metadata":null,"id":4260883009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"138","title":"Head of Marketing Operations","company_name":"Fireworks AI","first_published":"2026-05-27T18:28:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About This Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The Head of Marketing Operations builds the infrastructure that lets Fireworks marketing scale, and runs the operating system that keeps the team performing day to day. You own the marketing tech stack, the data model, the lifecycle, and the analytics that turn marketing into a predictable pipeline engine that the executive team can trust. You also own the planning rhythms, budget, prioritization, and program management that keep every function inside marketing shipping on time and in sync.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The right person is rigorous, opinionated about tooling, and energized by the operational problems most marketers avoid. You think about marketing the way a great operator thinks about a business: cadence, accountability, resource allocation, and clear measurement.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Reports to: SVP Marketing Location: Remote (US) with periodic travel to San Mateo HQ Compensation: Competitive salary + equity\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Location and Work Style\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role is remote-friendly within the US. You will travel to our San Mateo HQ periodically for team onsites, planning sessions, and key moments that benefit from being in person. We will establish a cadence that works for the team and the role.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Marketing Technology Stack and Architecture\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You own the marketing tech stack end-to-end: selection, implementation, integration, and the standards that govern how data flows between systems. This includes the marketing automation platform, CDP or warehouse-native architecture decisions, enrichment, and the integration layer with Salesforce. Success is measured by stack reliability, total cost of ownership, and the speed at which marketing can launch new programs.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Marketing Operating System and Program Management\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You run the operating rhythm of the marketing team. This includes the annual and quarterly planning process, goal setting and tracking, weekly business reviews, and cross-functional program management across demand gen, product marketing, content, and brand. You own the marketing budget model, vendor contracts, headcount planning support, and the prioritization framework that turns a long list of ideas into a focused roadmap. You are the connective tissue that makes the rest of the marketing team faster, more aligned, and easier to scale. Success is measured by on-time program delivery, budget accuracy, and team velocity.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Lifecycle, Lead Management, and Scoring\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You own the full lifecycle from anonymous visitor through closed-won, including lead scoring, MQL and PQL definitions, SLA enforcement, and the handoff to sales. This includes the operational rigor around routing, nurture, and re-engagement. Success is measured by SDR conversion lift and clean handoff metrics.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Attribution, Reporting, and Analytics\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You own marketing analytics, attribution methodology, and the dashboards that the executive team and the board see. This includes pipeline attribution, channel ROI, and the quarterly marketing performance review. Success is measured by leadership confidence in the numbers and by speed of decision-making informed by them.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Data Governance and Compliance\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;You own data hygiene, privacy compliance (GDPR, CCPA, and emerging US state laws), and the governance model that keeps our database trustworthy as we scale. Success is measured by data quality scores, deliverability rates, and zero material compliance incidents.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What Success Looks Like\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Marketing-sourced pipeline is reported with confidence and audit-ready definitions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead scoring drives measurable lift in downstream conversion rates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The full funnel from visitor to closed-won is instrumented and visible in shared dashboards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Campaign launch time drops as a result of better operational playbooks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Marketing and sales agree on the data, the definitions, and the single source of truth\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The marketing team operates on a clear quarterly cadence with shared priorities, transparent budget, and on-time delivery against the plan\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The SVP of Marketing and the broader exec team have real-time visibility into team capacity, program status, and spend without chasing updates\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What This Role Does Not Own\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Campaign creative and execution: Demand Gen leader\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sales technology and territory design: Sales Operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Product analytics and PLG instrumentation: Product and Data teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;You Should Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in marketing operations with at least 3 years in a leadership role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building marketing operations from scratch or replatforming at a B2B SaaS company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record at a startup or fast-scaling growth-stage company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record running planning cadences, OKRs, and cross-functional program management for a marketing org\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep fluency in HubSpot or Marketo, Salesforce, and at least one BI tool (Looker, Tableau, Sigma)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort owning data quality, GDPR/CCPA compliance, and attribution debates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing budget, vendor relationships, and headcount planning alongside a marketing leader\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Calm under pressure with strong opinions held loosely\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Past experience at a developer-first or product-led growth company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;SQL fluency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with hybrid PQL and MQL scoring models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$250,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$280,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000415009,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4000374009,"name":"Remote","location":"Remote, US","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4000408009","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":4000431009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4000408009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"26","title":"Member of Technical Staff, AI Training Infrastructure","company_name":"Fireworks AI","first_published":"2025-04-21T16:14:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Training Infrastructure Engineer, you\u0026#39;ll design, build, and optimize the infrastructure that powers our large-scale model training operations. Your work will be essential to developing high-performance AI training infrastructure. You\u0026#39;ll collaborate with AI researchers and engineers to create robust training pipelines, optimize distributed training workloads, and ensure reliable model development.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement scalable infrastructure for large-scale model training workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain distributed training pipelines for LLMs and multimodal models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize training performance across multiple GPUs, nodes, and data centers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement monitoring, logging, and debugging tools for training operations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect and maintain data storage solutions for large-scale training datasets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automate infrastructure provisioning, scaling, and orchestration for model training\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with researchers to implement and optimize training methodologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and improve efficiency, scalability, and cost-effectiveness of training systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Troubleshoot complex performance issues in distributed training environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3+ years of experience with distributed systems and ML infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with PyTorch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in cloud platforms (AWS, GCP, Azure)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with containerization, orchestration (Kubernetes, Docker)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of distributed training techniques (data parallelism, model parallelism, FSDP)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master\u0026#39;s or PhD in Computer Science or related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience training large language models or multimodal AI systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ML workflow orchestration tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in optimizing high-performance distributed computing systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ML DevOps practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML infrastructure or related projects\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4005894009","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":4004579009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4005894009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"44","title":"Member of Technical Staff, Cloud Infrastructure","company_name":"Fireworks AI","first_published":"2025-06-20T15:29:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Software Engineer on our Cloud Infrastructure team, you\u0026#39;ll be at the forefront, architecting and building the foundational systems that power Fireworks AI\u0026#39;s revolutionary generative AI platform. You\u0026#39;ll spearhead the creation of one of the world\u0026#39;s first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world\u0026#39;s most innovative AI products.This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You’ll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Key Responsibilities:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Minimum qualifications:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software development skills in languages like Python, or C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred qualifications:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master’s or PhD in Computer Science or related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading infrastructure projects supporting large-scale ML/AI workloads or high-throughput systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of driving system performance, reliability, and cost-efficiency improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source cloud or ML infrastructure projects a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4210320009","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":4123366009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4210320009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"109","title":"Member of Technical Staff, Data Platform Engineer","company_name":"Fireworks AI","first_published":"2026-04-07T15:03:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Data Platform Engineer that specializes in Order-to-Cash\u0026lt;strong\u0026gt; (OTC) Revenue\u0026amp;nbsp; Transformation and AI Application Enablement\u0026lt;/strong\u0026gt; to own and evolve the end-to-end billing, revenue and business data pipeline -\u0026amp;nbsp; from usage metering and invoice generation through revenue recognition and financial reporting. You will sit at the intersection of Engineering, Finance, and Data, ensuring every dollar of usage across our five revenue streams is accurately captured, billed, recognized, and reconciled.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact, cross-functional role. You will work hands-on with our billing platform (Orb, etc), accounting systems , data warehouse (BigQuery), and cloud marketplaces (AWS, GCP) — and ultimately help design AI-enabled workflow agents that automate reconciliation, anomaly detection, and revenue operations once the core data infrastructure is hardened.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Phase 1 – Platform \u0026amp;amp; Data Foundation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and enhance billing infrastructure: pricing models, usage ingestion, invoicing, and revenue workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resolve key platform gaps (pricing flexibility, account hierarchy, overages, prepaid/credit logic).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate billing with ERP, payments, and cloud marketplaces for an automated invoice-to-ledger pipeline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement deferred revenue and prepaid amortization across all billing models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain an end-to-end OTC data pipeline (usage → billing → payments → revenue → GL → reporting).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish authoritative data models and ensure transaction-level reconciliation across all systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement data quality, auditability, and SOX-ready controls.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strengthen CRM → Billing → ERP integration as a single source of truth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Automate journal entries, AR sub-ledger, and revenue postings; integrate payments and marketplace settlements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Phase 2 – Autonomous Intelligence\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and deploy autonomous enterprise agents to automate and augment OTC operations, including anomaly detection, reconciliation, revenue recognition, collections, contract interpretation, and forecasting.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We\u0026#39;re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5+ years\u0026lt;/strong\u0026gt; in billing engineering, revenue systems, or order-to-cash operations at a SaaS or usage-based platform company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience \u0026lt;/strong\u0026gt;with Billing Systems, ERP,\u0026amp;nbsp; AWS, K8, etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong SQL and BigQuery proficiency\u0026lt;/strong\u0026gt; — you can design schemas, write complex analytical queries, build dbt models, and maintain production data pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Working knowledge of accounting systems\u0026lt;/strong\u0026gt; (QuickBooks or NetSuite) and the ability to map billing events to GL journal entries, manage sub-ledger reconciliation, and support month-end close.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Experience with payment platforms\u0026lt;/strong\u0026gt;\u0026amp;nbsp; including payment processing, dunning, refunds, and cash application.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Familiarity with cloud marketplace billing\u0026lt;/strong\u0026gt; — AWS Marketplace CPPO/SaaS contracts, GCP Marketplace, or Azure Marketplace private offers and settlement reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Proficiency in Python or Node.js\u0026lt;/strong\u0026gt; for building integrations, data transforms, and automation scripts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building \u0026lt;strong\u0026gt;LLM-powered agents or automation workflows\u0026lt;/strong\u0026gt; — using frameworks like LangChain, or custom tool-calling architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in \u0026lt;strong\u0026gt;GPU compute or AI infrastructure billing\u0026lt;/strong\u0026gt; — understanding of compute-hour metering, token-based pricing, and capacity reservation models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with \u0026lt;strong\u0026gt;ERP migration\u0026lt;/strong\u0026gt; projects (e.g., QuickBooks to NetSuite).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4053672009","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":4036382009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4053672009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"82","title":"Member of Technical Staff, Evals \u0026 Post-Training Product","company_name":"Fireworks AI","first_published":"2025-10-30T18:54:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;Member of Technical Staff, Evals \u0026amp;amp; Post-Training Product\u0026lt;/strong\u0026gt; to help define how developers improve models on Fireworks. This role sits at the intersection of product engineering, developer experience, and model quality.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will build the products and workflows that connect \u0026lt;strong\u0026gt;evaluation and post-training into a continuous loop\u0026lt;/strong\u0026gt;: helping internal teams run evals at scale, enabling external developers through our open-source \u0026lt;strong\u0026gt;Eval Protocol SDK\u0026lt;/strong\u0026gt;, and owning key product experiences for fine-tuning custom models on Fireworks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work across the stack—from APIs, SDKs, and backend systems to user-facing product surfaces in the web app—to make it easier for users to author evals, understand results, fine-tune models, and iterate quickly. You will also work directly with customers and internal teams to identify friction, support real-world use cases, and turn repeated pain points into reusable product capabilities.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build internal eval workflows:\u0026lt;/strong\u0026gt; Design and scale evaluation tooling used by internal teams to measure model quality, compare model changes, and inform post-training decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own fine-tuning product experiences:\u0026lt;/strong\u0026gt; Build and improve user-facing product workflows for post-training, including fine-tuning experiences across SFT, RFT, and related model-improvement capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Work closely with users:\u0026lt;/strong\u0026gt; Partner with customers and internal stakeholders to understand evaluation and fine-tuning needs, support high-priority engagements, triage issues, and convert bespoke workflows into productized solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;1 - 7 years of software engineering experience\u0026lt;/strong\u0026gt; (We are hiring at multiple levels for this role).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Hands-on experience with LLM evaluations and/or post-training methods\u0026lt;/strong\u0026gt;: How to design useful evals and use their results to guide model improvement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Engineering Skills: \u0026lt;/strong\u0026gt;The ability to work across backend systems and developer-facing product surfaces. Comfortable shipping full-stack features when needed.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Understanding of the GenAI Lifecycle:\u0026lt;/strong\u0026gt; You understand the end-to-end workflow—from prompting a base model to curating a dataset, fine-tuning, and productionizing agents—and how these steps interconnect.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;User-Centric Mindset:\u0026lt;/strong\u0026gt; Willing to talk to users, triage GitHub issues for open-source projects, and build products from scratch to serve emerging needs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;3+ years of software engineering experience.\u0026lt;/strong\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Domain-Specific Evaluation Experience:\u0026lt;/strong\u0026gt; Strong familiarity with designing and running evaluations for domain-specific use cases (e.g. medical, legal, coding, or custom internal datasets).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Open Source Contributions:\u0026lt;/strong\u0026gt; Prior contributions to developer tools or AI/ML repositories.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Inference \u0026amp;amp; Hardware Knowledge:\u0026lt;/strong\u0026gt; Interest in the hardware side of AI—understanding GPU constraints, inference optimization techniques, and how they relate to model performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Startup DNA:\u0026lt;/strong\u0026gt; Experience in fast-paced environments where you own features end-to-end.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4257324009","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":4150406009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4257324009,"updated_at":"2026-06-05T13:30:24-04:00","requisition_id":"137","title":"Member of Technical Staff- Full Stack Software Engineer","company_name":"Fireworks AI","first_published":"2026-06-05T13:30:24-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Frontend Software Engineering Lead to build our developer-focused web application (fireworks.ai) and shape our front-end architecture. This role blends hands-on engineering with technical leadership, offering the opportunity to mentor other engineers, collaborate cross-functionally, and drive innovation in a fast-paced, AI-focused environment. You\u0026#39;ll play a key role in delivering scalable, elegant solutions that directly impact our hundreds of thousands of developers and product vision. You will be directly shaping and shipping the most optimal developer journey combined with our large offering of open source generative AI models and enabling our users to seamlessly build, experiment and ship their AI workflows with our playground.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Engineering ownership of\u0026lt;a href=\u0026quot;http://fireworks.ai\u0026quot;\u0026gt; fireworks.ai\u0026lt;/a\u0026gt; with a strong focus on a delightful developer journey\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in the team’s shared accountability for product led growth through the web application and model playground\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, development, and testing of responsive and performant web applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and support a team of front-end/UI engineers through code reviews, pair programming, and ongoing technical coaching\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and implement front-end architectural standards, best practices, and development workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with Product, Design, and Backend Engineering to align on requirements, timelines, and delivery expectations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain reusable, scalable component libraries and frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with other engineering teams to build an aligned developer journey across web, SDK and CLI surfaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion quality, performance, and accessibility in all UI development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation by staying informed of emerging front-end trends and technologies\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science or a related field, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years of professional experience in front-end development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience in a leadership role (e.g., tech lead, team lead, or engineering manager)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in React, TypeScript, JavaScript, and Next.js\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of delivering production-grade web applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of responsive design, modern front-end architecture, and UX principles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with front-end testing frameworks and CI/CD pipelines\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working in AI/ML-focused or fast-paced startup environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior startup experience and especially as a technical founder is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing or mentoring other engineers, including performance feedback and career development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of accessibility standards and internationalization practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open source or internal component libraries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in full-stack development and API design\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4001152009","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":4000968009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4001152009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"31","title":"Member of Technical Staff, Performance Optimization","company_name":"Fireworks AI","first_published":"2025-05-06T16:04:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Software Engineer focused on Performance Optimization to help push the boundaries of speed and efficiency across our AI infrastructure. In this role, you\u0026#39;ll take ownership of optimizing performance at every layer of the stack—from low-level GPU kernels to large-scale distributed systems. A key focus will be maximizing the performance of our most demanding workloads, including large language models (LLMs), vision-language models (VLMs), and next-generation video models.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work closely with teams across research, infrastructure, and systems to identify performance bottlenecks, implement cutting-edge optimizations, and scale our AI systems to meet the demands of real-world production use cases. Your work will directly impact the speed, scalability, and cost-effectiveness of some of the most advanced generative AI models in the world.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Optimize system and GPU performance for high-throughput AI workloads across training and inference\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and improve latency, throughput, memory usage, and compute efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Profile system performance to detect and resolve GPU- and kernel-level bottlenecks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement low-level optimizations using CUDA, Triton, and other performance tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive improvements in execution speed and resource utilization for large-scale model workloads (LLMs, VLMs, and video models)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with ML researchers to co-design and tune model architectures for hardware efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve support for mixed precision, quantization, and model graph optimization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain performance benchmarking and monitoring infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale inference and training systems across multi-GPU, multi-node environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate and integrate optimizations for emerging hardware accelerators and specialized runtimes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience working on performance optimization or high-performance computing systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in CUDA or ROCm and experience with GPU profiling tools (e.g., Nsight, nvprof, CUPTI)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with PyTorch and performance-critical model execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed system debugging and optimization in multi-GPU environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of GPU architecture, parallel programming models, and compute kernels\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master’s or PhD in Computer Science, Electrical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience optimizing large models for training and inference (LLMs, VLMs, or video models)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of compiler stacks or ML compilers (e.g., torch.compile, Triton, XLA)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML or HPC infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with cloud-scale AI infrastructure and orchestration tools (e.g., Kubernetes)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in ML systems engineering or hardware-aware model design\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Example projects:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement fully asynchronous low-latency sampling for large language models integrated with structured outputs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement GPU kernels for the new low-precision scheme and run experiments to find optimal speed-quality tradeoff\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build a distributed router with a custom load-balancing algorithm to optimize LLM cache efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define metrics and build harness for finding optimal performance configuration (e.g. sharding, precision) for a given class of model\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Determine and implement in PyTorch an optimal sharding scheme for a novel attention variant\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize communication patterns in RDMA networks (Infiniband, RoCE)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug numerical instabilities for a given model for a small portion of requests when deployed at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4000239009","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":4000258009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4000239009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"4","title":"Member of Technical Staff, Research","company_name":"Fireworks AI","first_published":"2025-04-17T17:47:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2 data-pm-slice=\u0026quot;1 3 []\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;The Role:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Member of Technical Staff on the Research team, you’ll push the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will enhance model efficiency, accuracy, and scalability, directly shaping our high-performance AI infrastructure. You\u0026#39;ll collaborate with top experts in deep learning, distributed systems, and optimization to bring cutting-edge research into real-world applications. You\u0026#39;ll also have the opportunity to shape how some of the world’s leading companies build and deploy AI through the models and tools you help create.\u0026lt;/p\u0026gt;\n\u0026lt;h3 data-start=\u0026quot;728\u0026quot; data-end=\u0026quot;756\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;732\u0026quot; data-end=\u0026quot;756\u0026quot;\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;759\u0026quot; data-end=\u0026quot;878\u0026quot;\u0026gt;Conduct foundational research to advance the capabilities, efficiency, and reliability of LLMs and multimodal systems\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;759\u0026quot; data-end=\u0026quot;878\u0026quot;\u0026gt;Design, implement, and evaluate novel model architectures, training methods, and optimization techniques\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;759\u0026quot; data-end=\u0026quot;878\u0026quot;\u0026gt;Collaborate with engineering teams to transition research prototypes into production-grade systems\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;759\u0026quot; data-end=\u0026quot;878\u0026quot;\u0026gt;Analyze empirical results, identify performance bottlenecks, and iterate quickly to improve model quality\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;759\u0026quot; data-end=\u0026quot;878\u0026quot;\u0026gt;Contribute to internal research strategy by identifying high-impact opportunities and emerging trends in AI\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research background in Artificial Intelligence, Machine Learning, Physics, or similar field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience solving analytical problems using analytic and quantitative approaches\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience communicating research to audiences with different backgrounds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience coding in C/C++, Python, or other similar languages\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD degree in Computer Science, Computational Physics, Mathematics, or a similar field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience having first-authored publications at peer-reviewed conferences or journals\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with ML frameworks such as PyTorch, TensorFlow, or Jax\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$240,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000416009,"name":"Research","child_ids":[],"parent_id":4000412009}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4177932009","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":4102787009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4177932009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"98","title":"Member of Technical Staff, Software Engineer","company_name":"Fireworks AI","first_published":"2026-03-08T19:23:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You’ll be a core builder of the backend systems that power Fireworks:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Our main web application\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model and fine-tuning job orchestration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Billing and enterprise features\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Accounts, org management, access controls\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Policy enforcement and governance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;APIs and developer tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;And many other cool things!\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;This is platform engineering with product impact. Your systems will directly shape how customers build on top of AI. You’ll work closely with product, frontend, infra, and GTM to ship end-to-end features — not just tickets.\u0026lt;/p\u0026gt;\n\u0026lt;h1\u0026gt;What You’ll Do\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build scalable backend services\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own major product surfaces from architecture to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve reliability, performance, and developer experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work directly with customers to understand pain points\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ship enterprise-grade features without enterprise slowness\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use AI tooling aggressively — we expect you to automate yourself\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;You Might Be a Fit If\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You like building real products, not just infrastructure for infrastructure’s sake\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You enjoy driving initiatives across teams to get things done\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You think in terms of systems, tradeoffs, and business impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You care about developer experience and clean abstractions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You’re curious about AI and want to build where the future is going\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You want ownership, not task lists\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h1\u0026gt;Minimum Qualifications\u0026lt;/h1\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Comfortable collaborating with both humans and AI systems (Yes, We’re Serious)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience helping humans solve real problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of working with AI — agents, bots, chats, or building on top of models\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4232629009","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":4135459009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4232629009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"117","title":"People Operations Lead","company_name":"Fireworks AI","first_published":"2026-04-24T19:24:46-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;The People Operations Lead owns the operational backbone of our People team. You\u0026#39;ll be responsible for HRIS, payroll, benefits, and compliance — making sure the fundamentals are accurate, scalable, and always improving. Working closely with HR and Finance, you\u0026#39;ll be the connective thread that keeps people data, payroll outputs, and operational processes in sync across teams. It\u0026#39;s a high-ownership, high-impact role for someone who takes pride in the work that keeps everything else running well.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own and optimize HRIS infrastructure, people data quality, and system workflows — establishing standards for data integrity, reporting, and audits across all HR systems, including reconciliation between internal systems and PEO/EOR platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead employee lifecycle operations end-to-end within the PEO/EOR system, ensuring high accuracy, timely execution, and a consistent employee experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own payroll operations in partnership with our PEO/EOR — managing inputs, auditing outputs, coordinating off-cycle runs, and serving as the primary point of contact for payroll-related issues and escalations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own multi-state payroll tax compliance — track active state registrations, monitor new-state expansion triggers, and ensure the PEO/EOR is filing accurately and on time; proactively flag and resolve discrepancies before they become liabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own health and benefits and 401(k) administration within the PEO/EOR and other vendor platform — including open enrollment, life event changes, invoice reconciliation, carrier escalations, and employee inquiries\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure HR compliance and audit-readiness through accurate documentation, record keeping, and monitoring of federal, state, and local employment law requirements across all states where we have employees\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as the operational connective tissue between HR, Finance, Recruiting, and HRBPs — ensuring data accuracy and process continuity across teams, particularly where PEO/EOR data flows intersect with internal systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Qualifications\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in HR or People Operations, with hands-on ownership across core HR functions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience working with HRIS platforms and managing HR operations within a PEO or EOR model\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid experience managing payroll processing and benefits administration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with state-specific benefit mandates, especially if the company operates across multiple states\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;Familiarity with US employment compliance requirements; exposure to global compliance frameworks is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing benefits and vendors, including healthcare funding models and 401(k) plan design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cross-border or international cases is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You\u0026#39;ll thrive in this role if:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You take deep ownership of your work — when something is yours, you see it through completely\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You naturally notice what\u0026#39;s missing, what\u0026#39;s breaking down quietly, and what others haven\u0026#39;t spotted yet\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;re always thinking about what can be improved, not just what needs to get done today\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;re obsessed with operational excellence — timeliness and quality aren\u0026#39;t trade-offs to you, they\u0026#39;re both non-negotiable\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You\u0026#39;re energized by building and improving, not just maintaining\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000626009,"name":"HR","child_ids":[],"parent_id":4000420009}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4203054009","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":4118525009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4203054009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"104","title":"Product Designer ","company_name":"Fireworks AI","first_published":"2026-03-27T13:03:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Product Designer who\u0026#39;s obsessed with turning complex AI infrastructure into experiences developers actually love. You\u0026#39;ll own design end-to-end — from how developers deploy models, to how they monitor inference, to how they build AI agents on our platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This isn\u0026#39;t about making things pretty. It\u0026#39;s about making powerful things simple. You\u0026#39;ll partner with engineers and PMs who think deeply about systems, and you\u0026#39;ll use AI tools yourself every day to move fast and think bigger.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you get excited about console UIs, API ergonomics, and making a developer\u0026#39;s \u0026quot;time to first inference\u0026quot; feel magical — we want to talk.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Own design from zero to ship\u0026lt;/strong\u0026gt; — research, prototyping, high-fidelity design, and iteration based on real usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Make AI infrastructure intuitive\u0026lt;/strong\u0026gt; — translate complex technical workflows (model deployment, inference monitoring, agent orchestration) into clear, usable interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build and evolve our design system\u0026lt;/strong\u0026gt; — establish the visual language and component library that keeps our platform consistent as we scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Partner deeply with Engineering and PM\u0026lt;/strong\u0026gt; — sit at the table where product decisions are made, not downstream of them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design with AI, not just for AI\u0026lt;/strong\u0026gt; — use AI-powered design tools to accelerate your own workflow. We practice what we preach.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Simplify developer experience across the platform\u0026lt;/strong\u0026gt; — from onboarding to production, every touchpoint should feel cohesive and effortless.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;5+ years of product design experience\u0026lt;/strong\u0026gt;, ideally in developer tools, cloud platforms, infrastructure products, or complex B2B systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A strong portfolio\u0026lt;/strong\u0026gt; that shows you can think in systems, not just screens — we want to see how you solve hard UX problems, not just visual polish.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Figma expert\u0026lt;/strong\u0026gt; with fluency in supporting tools (FigJam, Framer, Principle, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Startup-tested\u0026lt;/strong\u0026gt; — you\u0026#39;ve owned product areas end-to-end and thrive with ambiguity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Genuinely curious about AI\u0026lt;/strong\u0026gt; — you use LLMs, you follow the space, you have opinions about where it\u0026#39;s going. This isn\u0026#39;t a checkbox; it\u0026#39;s core to the role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A strong communicator\u0026lt;/strong\u0026gt; who can articulate design rationale to engineers, PMs, and leadership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Even Better If You Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience designing for \u0026lt;strong\u0026gt;developer platforms, APIs, or cloud infrastructure\u0026lt;/strong\u0026gt; (AWS, GCP, Azure, Vercel, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with \u0026lt;strong\u0026gt;front-end development\u0026lt;/strong\u0026gt; or design-to-code workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;agent-driven UX patterns\u0026lt;/strong\u0026gt; — how humans interact with autonomous AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;An eye for turning\u0026amp;nbsp;\u0026lt;strong\u0026gt;technical constraints into design opportunities\u0026lt;/strong\u0026gt; rather than limitations.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000422009,"name":"Product","child_ids":[],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4251648009","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":4147162009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4251648009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"131","title":"Revenue Accounting Lead","company_name":"Fireworks AI","first_published":"2026-05-18T20:08:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;We are seeking a highly motivated and detail-oriented \u0026lt;strong\u0026gt;Revenue Accounting Lead\u0026lt;/strong\u0026gt; to join our Finance organization. This role will own and scale the company’s revenue accounting processes, ensure compliance with ASC 606, and partner cross-functionally with Sales, Legal, FP\u0026amp;amp;A, Deal Desk, and Operations to support the company’s rapid growth.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an excellent opportunity for someone who thrives in a fast-paced environment, enjoys building scalable processes, and wants to make a meaningful impact at a high-growth AI company.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead all aspects of revenue accounting operations, including contract review, revenue recognition, deferred revenue, and month-end close activities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure compliance with ASC 606 and maintain accurate revenue recognition policies and documentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Review customer contracts and collaborate with Legal and Sales Operations to determine accounting implications for complex deal structures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare and review revenue-related journal entries, reconciliations, and reporting schedules\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with FP\u0026amp;amp;A to support forecasting, ARR/MRR reporting, and SaaS metrics analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive automation and process improvements across quote-to-cash and revenue close workflows\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support external audits, including preparation of revenue accounting memos and audit schedules\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain scalable internal controls related to revenue processes and systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Billing, Collections, and GTM teams to improve operational efficiency and data integrity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with implementation and optimization of ERP and revenue systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build scalable policies and infrastructure to support international expansion and evolving product offerings\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and guide junior accounting team members as the organization grows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Accounting or Finance; CPA strongly preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;6+ years of progressive accounting experience, including revenue accounting in a SaaS or technology company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of ASC 606 and SaaS revenue recognition concepts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience reviewing complex customer contracts and translating accounting guidance into operational execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills and attention to detail\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in high-growth startup or fast-scaling environments preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ERP systems such as NetSuite and revenue automation tools such as Stripe, Orb, or Zuora\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate effectively across technical and non-technical teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-starter with strong project management and organizational skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable navigating ambiguity and building processes from the ground up\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in AI, cloud infrastructure, consumption-based pricing, or usage-based billing models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting IPO readiness or SOX compliance initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior public accounting experience, preferably within a Big Four firm\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing or mentoring team members\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Join Us\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Opportunity to help shape the financial foundation of a rapidly growing AI company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-impact role with visibility across Finance and executive leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative and mission-driven culture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Competitive compensation, equity, and benefits\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexible and hybrid-friendly work environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$200,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$230,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4035124009,"name":"Finance","child_ids":[],"parent_id":4000420009}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4255238009","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":4148911009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4255238009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"133","title":"Sales Strategy Lead ","company_name":"Fireworks AI","first_published":"2026-05-21T13:37:23-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Reporting to the Director of Revenue Strategy \u0026amp;amp; Analytics, the Sales Strategy Lead is the primary business partner to the Sales VPs. This role owns the strategy work for our scaling GTM machine: translating analytical output into GTM recommendations, owning segment-level business reviews, and the daily grind of driving our sales execution forward in partnership with Sales leadership.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an embedded, high-trust role. The Sales VPs should be coming to this person first — for deal strategy, territory questions, pipeline reads, and planning inputs. The right candidate has both the analytical horsepower to own a segmentation model and the credibility to challenge a VP of Sales on their pipeline. This role starts as a senior IC and grows into a team lead as we scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The right candidate is actively building with AI tools, with a specific point of view on how that changes the way a sales strategy function operates.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Responsibilities\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;GTM Strategy \u0026amp;amp; Sales VP Partnership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the primary strategic partner to Sales VPs on segment strategy, territory design, ICP prioritization, sales plays, and growth initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own QBR preparation and delivery for your segments: synthesize pipeline data, field signal, and competitive dynamics into clear recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead territory carving, account tiering, and sales play development in partnership with Sales leadership and RevOps.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Planning \u0026amp;amp; Investment Analysis\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with peers and cross-functionally on annual and quarterly planning: pressure test our GTM investment thesis with deep inspection and quantitative viewpoints about segment-level targets, territory models, and capacity inputs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain an ongoing read on segment performance — win rates, deal velocity, pipeline health — and bring proactive recommendations when the trend lines shift.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Operating Cadence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the weekly operating rhythm for your segments: forecast inputs, pipeline reviews, and leadership staff meeting prep.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare executive materials that go from raw data to clear recommendation — not decks that describe the problem.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;AI-Native Operations\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build AI-native workflows into how this role operates: account research, pipeline review prep, competitive briefs, and executive content generation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years spanning at least two of: revenue/sales operations, quota-carrying sales or customer ownership, and GTM strategy or management consulting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has been embedded with a quota-carrying sales team — not adjacent to it\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills; can go from raw data to executive recommendation without a data team supporting every request\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;SQL proficiency: independently queries Salesforce-derived data\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has owned at least one major GTM motion end-to-end: territory redesign, quota modeling, QBR architecture, or sales play development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Actively using AI tools in current workflow\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 at an AI/ML infrastructure or developer tools company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in management consulting or strategic finance before a GTM role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with GPU economics or consumption-based pricing models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has supported a sales org through a significant scaling event\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$182,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$243,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000414009,"name":"Go To Market","child_ids":[4000413009,4001191009],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4032516009,"name":"San Francisco Bay Area","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4106639009","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":4072970009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4106639009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"95","title":"Security Engineer","company_name":"Fireworks AI","first_published":"2026-01-20T14:32:33-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Security is the foundation of trust in AI systems. As the Security Engineer at Fireworks AI, you will play a key role in designing, implementing and operating security controls across AI infrastructure, AI platforms and internal systems. You will work closely with the multiple teams to strengthen our security posture and support our rapid growth. As more organizations rely on large language models and cloud-native AI services, ensuring the confidentiality, integrity, and availability of data, models, and infrastructure is paramount. This role plays a critical part in building that trust by designing and embedding security across layers of our technology stack.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build security-focused software and platform capabilities to protect customer data, models, and services across our multi-cloud infrastructure, including encryption, identity and access management, secure API gateways, secure model execution, and sandboxing strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Perform security reviews of cloud-native architectures—including Kubernetes clusters, multi-cloud workloads, and distributed data stores—and build integrated systems for continuous security monitoring, anomaly detection, and automated response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Embed security into CI/CD pipelines using a DevSecOps approach, implementing automated scanning, policy enforcement, and secure-by-default build and deployment workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Apply a build-over-buy philosophy by designing and developing in-house security tooling and automation where it provides better control, scalability, and integration than off-the-shelf solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and operate a comprehensive vulnerability management program, partnering with various teams to remediate risks across applications, containers, cloud infrastructure, and dependencies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Operate and continuously improve security operations, including detection engineering, alert triage, incident response, and continuous improvement through post-incident reviews.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in red/blue team exercises, tabletop simulations, and post-incident root cause analysis to strengthen security resilience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Embed compliance and regulatory controls into infrastructure and product layers (e.g., SOC 2, ISO 27001, ISO42001, HIPAA, PCI-DSS, GDPR).\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3 to 7 years of experience in software engineering or security engineering with a strong focus on security, infrastructure, or cloud-native systems.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in Python and/or Go with experience in designing production-grade systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of cloud-native architectures using GCP, particularly in the area of network segregation, authentication, authorization, encryption, data protection, intrusion detection, and cloud-specific security benchmarks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with Kubernetes, Docker, and containerized production environments; deep knowledge of Kubernetes internals and native security controls is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with security tooling in managed CI/CD environments (e.g., GitHub Actions, Harness, CircleCI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid experience working in Linux environments, including system administration, debugging, and automation via command-line tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with modern identity and access controls (SAML, OAuth, OIDC, SSO, RBAC/ABAC).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience designing secure multi-cloud deployments and zero-trust architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, operating, and securing large-scale Kubernetes platforms, including control plane security, node hardening, and multi-tenant isolation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing, operating, and securing large-scale multi-cloud platforms across AWS, GCP, Azure, Oracle Cloud, and GPU as service cloud providers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency with infrastructure-as-code using Terraform and Python, including experience building modular policy-as-code frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of data protection techniques, including encryption at rest/in transit, tokenization, key management, and confidential computing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating security into microservice architectures, service meshes, and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience securing LLM/ML platforms, model inference infrastructure, GPU clusters, or data labeling pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing detection engineering pipelines across cloud audit logs, network telemetry, and application signals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building large-scale IAM and PAM platforms using least-privilege, workload identity, and just-in-time access.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with container image vulnerability remediation, security, SBOM generation, and software supply chain security.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building, implementing and operating security automation platforms for incident response and security operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with compliance tooling and frameworks (e.g., Vanta, SOC 2, ISO 27001, ISO 42001, PCI-DSS).\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$180,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4251658009","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":4147047009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4251658009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"130","title":"Senior Accountant (Early-Stage / High-Growth Environment)","company_name":"Fireworks AI","first_published":"2026-05-18T20:21:14-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Position Summary\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a hands-on, high-ownership Senior Accountant to help build and scale our accounting foundation. This role is ideal for a candidate with ~5 years of experience, preferably a recent Senior from Big 4, who is looking to transition into an operating role and take ownership of core accounting processes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will play a critical role in establishing scalable processes, supporting financial reporting, and partnering cross-functionally as the company grows. This position requires someone who is comfortable working in ambiguity, moves quickly, and is excited to build from the ground up.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are also looking for someone who is interested in leveraging automation and AI tools to improve efficiency, reduce manual work, and enhance the accuracy of financial processes.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role reports to the Senior Manager, Financial Reporting.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In This Role, You Will\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own key areas of the month-end close, including journal entries, reconciliations, and variance analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead PBC requests associated with Direct and Indirect tax\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and improve accounting processes, documentation, and controls in a fast-evolving environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;Prepare and review balance sheet reconciliations, ensuring accuracy and completeness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage accounting for key areas such as prepaids, accruals, fixed assets, and cash.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support financial reporting, including preparation of monthly financial statements and supporting schedules.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally (FP\u0026amp;amp;A, Operations, Legal, Tax) to ensure accurate and timely financial data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist with external audits, including preparing PBCs and responding to auditor requests.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify process gaps and drive automation and efficiency improvements using tools such as Excel, scripts, and AI-assisted workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage AI tools to streamline repetitive tasks and enhance reporting insights.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support implementation and optimization of accounting systems and tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take on ad hoc projects and special initiatives as the business scales.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;~5 years of experience in accounting or audit; Big 4 experience strongly preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Accounting or Finance; CPA or CPA-eligible preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong foundation in U.S. GAAP and financial reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to take ownership and work independently in a fast-paced, ambiguous environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on mindset with willingness to execute.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills with attention to detail.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Excel; familiarity with ERP systems (NetSuite preferred).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest in or experience with automation, data tools, or AI-driven workflows is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to partner cross-functionally.\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;Experience in a high-growth startup or tech environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to system implementations, process automation, or data analytics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting audits.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$170,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$190,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4035124009,"name":"Finance","child_ids":[],"parent_id":4000420009}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4204968009","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":4119743009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4204968009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"107","title":"Senior GTM Recruiter","company_name":"Fireworks AI","first_published":"2026-03-31T16:20:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;hr class=\u0026quot;border-border-200 border-t-0.5 my-3 mx-1.5\u0026quot;\u0026gt;\n\u0026lt;h2 class=\u0026quot;text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\u0026quot;\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;We\u0026#39;re looking for a strategic and hands-on \u0026lt;strong\u0026gt;Senior GTM Recruiter\u0026lt;/strong\u0026gt; to join our growing People team and help fuel our next phase of growth. In this role, you\u0026#39;ll own full-cycle recruiting for Go-To-Market functions — including Sales, Marketing and Partnerships — partnering closely with GTM leaders to build world-class teams that can take Fireworks\u0026#39; platform to market.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;This isn\u0026#39;t just a recruiting role, it\u0026#39;s a chance to shape how an AI-native company hires. We\u0026#39;re looking for someone who is genuinely excited about the AI industry, eager to experiment with AI-powered recruiting tools and workflows, and ready to help define what modern, intelligent talent acquisition looks like. If you love being at the forefront of both AI and hiring, this role was built for you.\u0026lt;/p\u0026gt;\n\u0026lt;h2 class=\u0026quot;text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\u0026quot;\u0026gt;Key Responsibilities\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Own full-cycle GTM recruitment across Sales, Marketing, Partnerships, Solutions Engineering, and Customer Success, with a focus on quality, speed, and candidate experience.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Partner with GTM hiring managers and executives to understand business needs, calibrate on candidate profiles, and develop targeted hiring strategies. Build and maintain talent pipelines and market maps for current and future needs.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Proactively source and engage high-caliber GTM talent through direct outreach, networking, referrals, and AI-powered sourcing platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Collaborate with HRBPs, Compensation, and other People functions to align on role design, comp benchmarking, and market intelligence to inform hiring plans.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Champion AI-native recruiting practices, from sourcing automation and outreach personalization to pipeline analytics, while optimizing recruiting operations and tooling for a scalable, inclusive process.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 class=\u0026quot;text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\u0026quot;\u0026gt;Minimum Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;5+ years of hands-on recruiting experience, ideally in fast-paced, high-growth environments.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Proven track record recruiting for GTM roles across Sales, Marketing and Partnerships.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Demonstrated ability to partner with founders, hiring managers, and senior GTM leaders to shape and influence hiring strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Strong sourcing and candidate engagement skills, with a knack for identifying and activating top GTM talent.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Ability to work with urgency while maintaining high quality standards and a thoughtful candidate experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 class=\u0026quot;text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\u0026quot;\u0026gt;Preferred Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Experience scaling GTM teams at a startup or hypergrowth company, ideally in AI, infrastructure, or developer tools.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Familiarity with compensation structures and equity benchmarking in early-stage startups.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Hands-on experience with AI recruiting tools, whether that\u0026#39;s AI-assisted sourcing, automated outreach, or workflow automation, and genuine enthusiasm to explore what\u0026#39;s next.\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;Experience with Talent Operations to implement and optimize recruiting tools, systems, and workflows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 class=\u0026quot;text-text-100 mt-3 -mb-1 text-[1.125rem] font-bold\u0026quot;\u0026gt;Who You Are (Beyond the Resume)\u0026lt;/h2\u0026gt;\n\u0026lt;p class=\u0026quot;font-claude-response-body break-words whitespace-normal leading-[1.7]\u0026quot;\u0026gt;You\u0026#39;re passionate about the AI industry. Not just as a recruiter operating in it, but as someone who follows it, thinks about it, and is excited to be part of building it. You see AI as a tool that makes you a better recruiter, not a threat to the craft. You\u0026#39;re curious, experimental, and energized by figuring out how to do things better and faster. You bring that same energy to finding and closing exceptional GTM talent.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$200,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000421009,"name":"Recruiting","child_ids":[],"parent_id":4000420009}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4000374009,"name":"Remote","location":"Remote, US","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4056271009","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":4037852009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4056271009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"85","title":" Software Engineer, AI Infrastructure","company_name":"Fireworks AI","first_published":"2025-11-05T11:54:08-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Software Engineer on our AI Infrastructure team, you will help design the core systems that power Fireworks AI’s generative AI platform. You will help build infrastructure and tools that ensure the reliability, performance, quality, and availability of our AI system.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our mission is to make Fireworks AI the most reliable and user friendly generative AI platform in the world. You will partner closely with our cloud infrastructure team, product team, and performance team to deliver infrastructure that bridges the gap between our customer and the ultra-performant proprietary Fireworks inference engine.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Key Responsibilities:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain core backend services such as LLM CI/CD pipeline, control plane, and model serving systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building frameworks and safeguards to ensure Fireworks AI has the best model quality in the industry\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in code reviews, technical discussions, and continuous integration and deployment processes\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Minimum Qualifications:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3 years of experience in software engineering, with a focus on infrastructure or machine learning systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python, Go, or a similar language\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, Vertex AI, SageMaker, Kubernetes, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc)\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;Preferred Qualifications:\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in software engineering, with a focus on infrastructure or machine learning systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;Experience with open source inference engine like vLLM, Sglang, or TRT-LLM\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;Contributions to open-source infrastructure or ML projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;Experience in building large scale ML/MLOps infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$175,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$220,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000412009,"name":"Engineering","child_ids":[4000416009,4000418009,4042474009,4042475009,4044535009,4001190009,4001186009,4001194009],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4059100009","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":4039762009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4059100009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"86","title":"Solutions Architect","company_name":"Fireworks AI","first_published":"2025-11-07T12:56:31-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;In the last few months alone we\u0026#39;ve launched the Fireworks Training Platform, partnered with Microsoft Azure Foundry, and published research straight from our production systems which is helping scale some of the most innovative companies and products of our generation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an SA you\u0026#39;ll be close to all of it. The customer conversations you lead directly feed our roadmap, and the work you do shows up in what we build and publish next. A few examples of what that looks like in practice:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;a href=\u0026quot;https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think\u0026quot;\u0026gt;Frontier RL is cheaper than the mega-cluster narrative suggests\u0026lt;/a\u0026gt; — we ran cross-region rollouts using 98% sparse weight deltas and published what we learned\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;a href=\u0026quot;https://fireworks.ai/blog/when-faster-not-identical-moe-numerics\u0026quot;\u0026gt;Training-inference parity in MoE models\u0026lt;/a\u0026gt; — kernel fusions that are mathematically equivalent can still drift numerically; we shipped the fixes across Kimi K2.5 and Qwen3.5-MoE\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;a href=\u0026quot;https://fireworks.ai/blog/fine-tuning-bottlenecks\u0026quot;\u0026gt;The fine-tuning bottleneck isn\u0026#39;t the algorithm\u0026lt;/a\u0026gt; — integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you want to work on hard infrastructure problems, be close to the customers pushing the frontier, and actually see your work ship come work with us!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Solutions Architects at Fireworks are the technical and strategic owners of the customer relationship from the first discovery call through to production. You\u0026#39;ll work with some of the most ambitious engineering teams in the world, translating complex business problems into concrete AI solutions built on the Fireworks platform.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a role that demands both technical depth and strong people skills. You\u0026#39;ll need to earn the trust of ML engineers and VPs in the same meeting, scope and execute POCs without losing sight of the customer\u0026#39;s definition of success, and know enough about inference, fine-tuning, and model architecture to make credible recommendations under pressure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We hire SAs across two tracks. Both require strong technical grounding and sharp customer instincts; the difference is where each track places its emphasis.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Enterprise SA Track\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Works with digital native and large organizations — navigating multiple stakeholders, procurement cycles, and executive relationships\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Heavy emphasis on executive presence: equally comfortable presenting to a CTO and debugging a latency issue with an ML engineer\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leads complex technical sales: discovery, solution design, POC execution, commercial negotiation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Owns the account relationship end-to-end, including expansion and renewal\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong commercial instincts understands how to build a business case and close large deals\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Applied AI Track\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Works with high-velocity accounts and technology partners startups, ISVs, and hyperscaler ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Heavier emphasis on technical execution more time in the code, building integrations, running enablements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Faster iteration cycles with less org navigation focused on shipping working solutions quickly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Embeds with partner engineering teams to enable their AI practices and build joint solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable operating across engineering, partnerships, and sales simultaneously\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Work On:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Regardless of track, SAs at Fireworks own a consistent set of responsibilities:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Technical Discovery \u0026amp;amp; Solution Design\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design end-to-end architectures for GenAI applications covering model selection, inference configuration, RAG design, and fine-tuning strategy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;POC Scoping \u0026amp;amp; Execution\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define what a minimal, compelling proof-of-concept looks like and own it through to delivery. Prioritize and stack rank opportunities: manage scope creep, set realistic timelines, and keep the customer aligned on what success looks like\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work alongside product and engineering teams to execute technically rigorous POCs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Performance Engineering\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Run inference sweeps and establish performance baselines for customer workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create and configure deployments tuned to specific latency, throughput, and cost targets\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Fine-Tuning \u0026amp;amp; Model Recommendations\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Guide customers on fine-tuning strategy and model recommendations: when to use SFT, DPO, or RFT, and which model family fits their use case\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and run fine-tuning pipelines directly for customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate model quality and help customers build robust eval pipelines\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Account Ownership \u0026amp;amp; Stakeholder Management\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the technical relationship across the account: from champion to executive sponsor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate complex organizations, build trust at multiple levels, and maintain momentum through long sales cycles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Feed customer signal: deployment patterns, pain points, feature gaps — back into the product roadmap\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We\u0026#39;re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years in a technical, customer-facing role — Solutions Architect, Sales Engineer, Forward Deployed Engineer, Customer facing AI Engineer / Data Scientist or equivalent\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with the LLM stack: inference trade-offs, fine-tuning methodologies (SFT, RFT, DPO), and deploying models at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Python skills: comfortable reading, writing, and debugging production code\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication: able to run a sharp discovery call, present to a VP, and explain reinforcement learning to an ML engineer in the same afternoon\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud infrastructure (AWS, Azure, GCP) and model serving at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;On Target Earnings (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$200,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000414009,"name":"Go To Market","child_ids":[4000413009,4001191009],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4257105009","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":4150244009,"location":{"name":"New York, NY; San Mateo, CA"},"metadata":null,"id":4257105009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"136","title":"Sr Field Marketing Manager ","company_name":"Fireworks AI","first_published":"2026-05-22T14:22:44-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h3\u0026gt;About The Role:\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;This is a senior, high-impact role on Fireworks AI\u0026#39;s Marketing team, central to our pipeline strategy and go-to-market motion. As a Senior Field Marketing Manager, you\u0026#39;ll be a key architect of how we show up in the field, owning a mix of strategy, execution of our event and field programs, while helping establish the foundational infrastructure and playbooks that will scale the team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;If you\u0026#39;re a passionate field and experiential marketer looking for an opportunity to create extraordinary in-person experiences and build from the ground up, this is your chance to create innovative events that directly shape Fireworks AI\u0026#39;s brand experience on the West Coast or East Coast. You\u0026#39;re not just running events — you\u0026#39;re building a repeatable engine for pipeline and brand.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll collaborate closely with cross-functional stakeholders in sales and leadership to design experiences that accelerate deals and deepen customer relationships. You\u0026#39;ll bring a strategic lens to audience segmentation, investment decisions, and program measurement, while also rolling up your sleeves to execute.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop Fireworks AI\u0026#39;s east coast field marketing strategy, aligning program investments to sales priorities, pipeline goals, and key customer segments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conceptualize and produce end to end planning, execution, of hosted events including executive experiences, large-format educational events, trade shows, co-sponsored activations, and flagship user conferences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and drive strong sales follow-up.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with sales leadership on territory and account-level strategy, ensuring field programs reach the right accounts at the right moments in the buying cycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track and report on program ROI to marketing and sales leadership, making data-driven recommendations on how we invest in field events to drive incremental business impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and provide guidance to junior field marketing team members as the function grows.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Skills You\u0026#39;ll Need to Bring:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of field marketing or event marketing experience in B2B SaaS or B2B tech.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A passion for all things field and experiential marketing. You understand the purpose and place for every event type, from executive dinners to trade shows, and take pride in the details that elevate a good event to a great one.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong strategic instinct paired with operational excellence: you can zoom out to define a program roadmap and zoom in to manage the logistics that make the difference.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience partnering with sales leadership and AEs to develop territory-level event strategies and account-based marketing motions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to manage complex, multi-event portfolios simultaneously across diverse program types\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional collaborator who works effectively with Sales, Partnerships, Creative, Communications, and executive stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication skills, including the ability to create clear event documentation and present post-event insights to leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable with data and analytics, using event metrics to optimize programs and clearly demonstrate ROI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in CRM and marketing automation software; Salesforce is required.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;Nice to Haves:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a startup or hyper-growth company is preferred; especially within the Bay Area\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience delivering both in-person field events and larger-scale user conferences, including flagship events (500+ attendees).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background designing and optimizing account-based marketing (ABM) motions in partnership with demand generation teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Marketo experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$230,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$250,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000415009,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4000373009,"name":"New York","location":"New York, New York, United States","child_ids":[],"parent_id":null},{"id":4032516009,"name":"San Francisco Bay Area","location":"San Francisco, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/fireworksai/jobs/4163665009","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":4097812009,"location":{"name":"San Mateo, CA"},"metadata":null,"id":4163665009,"updated_at":"2026-06-04T21:09:54-04:00","requisition_id":"97","title":"Strategic Projects Lead","company_name":"Fireworks AI","first_published":"2026-03-02T18:42:27-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;107\u0026quot; data-end=\u0026quot;729\u0026quot;\u0026gt;At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2\u0026gt;The Role:\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Fireworks AI is looking for a \u0026lt;strong\u0026gt;Strategic Projects Lead\u0026lt;/strong\u0026gt; to drive high-impact, cross-functional initiatives. We’re looking for a high-agency operator to wear many hats at the intersection of Engineering, Product, and GTM. You’ll be part of the Fireworks product organization where you’ll be an expert in Fireworks’ products and customers. You’ll use that knowledge to drive high-priority, end-to-end projects across the company.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identify and create new strategic capabilities for Fireworks, like new GTM motions or standardized GTM playbooks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build deep relationships with customers and lead strategic customer engagements from initial sale to long-term success\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Determine product roadmap needs and instrument solutions end-to-end\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own and drive cross-functional initiatives from definition to execution, like partnership creation and model launches\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Minimum Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;We’re hiring smart hungry people at a variety of experience levels - 1+ years of experience in a high-ownership, fast-paced environment (consulting, product management, software or banking)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Entrepreneurial mindset\u0026amp;nbsp; - excitement about wearing many hats and ability to identify issues and execute quickly\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency to engage with senior stakeholders in client and partner organizations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical fluency in AI, ML infrastructure, or cloud platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of leading complex technical or cross-functional initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical capability and comfortability driving decisions quantitatively\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent written and verbal communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bias toward action and high accountability\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working on ML infrastructure, inference systems, or AI platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting enterprise or strategic customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in infrastructure, DevEx, or performance optimization initiatives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience operating in high-growth startup environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-pay-transparency\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;pay-input\u0026quot;\u0026gt;\u0026lt;div class=\u0026quot;description\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Base Pay Range (Plus Equity)\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;pay-range\u0026quot;\u0026gt;\u0026lt;span\u0026gt;$160,000\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;divider\u0026quot;\u0026gt;\u0026amp;mdash;\u0026lt;/span\u0026gt;\u0026lt;span\u0026gt;$200,000 USD\u0026lt;/span\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Why Fireworks AI?\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ownership \u0026amp;amp; Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4000422009,"name":"Product","child_ids":[],"parent_id":null}],"offices":[{"id":4000372009,"name":"San Mateo","location":"San Mateo, California, United States","child_ids":[],"parent_id":null}]}],"meta":{"total":27}}