{"absolute_url":"https://job-boards.greenhouse.io/labelbox/jobs/5101195007","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":4615013007,"location":{"name":"San Francisco Bay Area"},"metadata":null,"id":5101195007,"updated_at":"2026-04-15T16:42:58-04:00","requisition_id":"351","title":"Forward Deployed Engineering Manager","company_name":"Labelbox","first_published":"2026-04-15T16:42:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Shape the Future of AI\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Labelbox, we\u0026#39;re building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we\u0026#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Labelbox\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re the only company offering three integrated solutions for frontier AI development:\u0026lt;/p\u0026gt;\n\u0026lt;ol\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enterprise Platform \u0026amp;amp; Tools\u0026lt;/strong\u0026gt;: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Frontier Data Labeling Service\u0026lt;/strong\u0026gt;: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Expert Marketplace\u0026lt;/strong\u0026gt;: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling\u0026lt;/li\u0026gt;\n\u0026lt;/ol\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;\u0026lt;strong\u0026gt;High-Impact Environment\u0026lt;/strong\u0026gt;: We operate like an early-stage startup, focusing on impact over process. You\u0026#39;ll take on expanded responsibilities quickly, with career growth directly tied to your contributions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Technical Excellence\u0026lt;/strong\u0026gt;: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Innovation at Speed\u0026lt;/strong\u0026gt;: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Continuous Growth\u0026lt;/strong\u0026gt;: Every role requires continuous learning and evolution. You\u0026#39;ll be surrounded by curious minds solving complex problems at the frontier of AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Clear Ownership\u0026lt;/strong\u0026gt;: You\u0026#39;ll know exactly what you\u0026#39;re responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h2 data-section-id=\u0026quot;k5dw9e\u0026quot; data-start=\u0026quot;434\u0026quot; data-end=\u0026quot;507\u0026quot;\u0026gt;The role\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;509\u0026quot; data-end=\u0026quot;672\u0026quot;\u0026gt;We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;674\u0026quot; data-end=\u0026quot;1039\u0026quot;\u0026gt;You’ll manage a team responsible for building sandboxed, reproducible environments—terminal-based workflows, browser automation, and computer-use simulations—that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.\u0026lt;/p\u0026gt;\n\u0026lt;hr data-start=\u0026quot;1041\u0026quot; data-end=\u0026quot;1044\u0026quot;\u0026gt;\n\u0026lt;h2 data-section-id=\u0026quot;1uboqym\u0026quot; data-start=\u0026quot;1046\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1049\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1069\u0026quot; data-end=\u0026quot;2186\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;6ckvga\u0026quot; data-start=\u0026quot;1069\u0026quot; data-end=\u0026quot;1220\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1071\u0026quot; data-end=\u0026quot;1121\u0026quot;\u0026gt;Lead, hire, and develop a high-performing team\u0026lt;/strong\u0026gt; of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1nwap65\u0026quot; data-start=\u0026quot;1221\u0026quot; data-end=\u0026quot;1336\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1223\u0026quot; data-end=\u0026quot;1257\u0026quot;\u0026gt;Own the RL environment roadmap\u0026lt;/strong\u0026gt;, aligning team execution with customer needs and evolving model capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;7ax361\u0026quot; data-start=\u0026quot;1337\u0026quot; data-end=\u0026quot;1507\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1339\u0026quot; data-end=\u0026quot;1388\u0026quot;\u0026gt;Oversee development of sandboxed environments\u0026lt;/strong\u0026gt; (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;11zffv5\u0026quot; data-start=\u0026quot;1508\u0026quot; data-end=\u0026quot;1650\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1510\u0026quot; data-end=\u0026quot;1567\u0026quot;\u0026gt;Ensure reliability, observability, and data integrity\u0026lt;/strong\u0026gt; through strong instrumentation (logging, trajectory capture, state snapshotting)\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;mpw1yj\u0026quot; data-start=\u0026quot;1651\u0026quot; data-end=\u0026quot;1768\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1653\u0026quot; data-end=\u0026quot;1688\u0026quot;\u0026gt;Drive infrastructure excellence\u0026lt;/strong\u0026gt; across containerization, sandboxing, CI/CD, automated testing, and monitoring\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1nv9ntv\u0026quot; data-start=\u0026quot;1769\u0026quot; data-end=\u0026quot;1928\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1771\u0026quot; data-end=\u0026quot;1801\u0026quot;\u0026gt;Partner cross-functionally\u0026lt;/strong\u0026gt; with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;vvie1y\u0026quot; data-start=\u0026quot;1929\u0026quot; data-end=\u0026quot;2062\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1931\u0026quot; data-end=\u0026quot;1973\u0026quot;\u0026gt;Enable rapid prototyping and iteration\u0026lt;/strong\u0026gt;, helping the team move from ambiguous requirements to production-ready systems quickly\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;ava99w\u0026quot; data-start=\u0026quot;2063\u0026quot; data-end=\u0026quot;2186\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2065\u0026quot; data-end=\u0026quot;2104\u0026quot;\u0026gt;Stay close to the technical details\u0026lt;/strong\u0026gt;—reviewing architecture, unblocking complex issues, and guiding design decisions\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;hr data-start=\u0026quot;2188\u0026quot; data-end=\u0026quot;2191\u0026quot;\u0026gt;\n\u0026lt;h2 data-section-id=\u0026quot;xs10nj\u0026quot; data-start=\u0026quot;2193\u0026quot; data-end=\u0026quot;2222\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2196\u0026quot; data-end=\u0026quot;2222\u0026quot;\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;2224\u0026quot; data-end=\u0026quot;2236\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2224\u0026quot; data-end=\u0026quot;2236\u0026quot;\u0026gt;Required\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2237\u0026quot; data-end=\u0026quot;2976\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;r22txp\u0026quot; data-start=\u0026quot;2237\u0026quot; data-end=\u0026quot;2336\u0026quot;\u0026gt;5+ years of software engineering experience (Python)\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;133wii\u0026quot; data-start=\u0026quot;2337\u0026quot; data-end=\u0026quot;2420\u0026quot;\u0026gt;2+ years of experience managing or leading engineers in fast-paced environments\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;6lrs0m\u0026quot; data-start=\u0026quot;2421\u0026quot; data-end=\u0026quot;2513\u0026quot;\u0026gt;Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1dzgb3p\u0026quot; data-start=\u0026quot;2514\u0026quot; data-end=\u0026quot;2644\u0026quot;\u0026gt;Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;bpae7k\u0026quot; data-start=\u0026quot;2645\u0026quot; data-end=\u0026quot;2720\u0026quot;\u0026gt;Background in infrastructure, developer tooling, or distributed systems\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;1sn1o2o\u0026quot; data-start=\u0026quot;2721\u0026quot; data-end=\u0026quot;2812\u0026quot;\u0026gt;Strong debugging skills and systems thinking across layered, containerized environments\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;kp5gfn\u0026quot; data-start=\u0026quot;2813\u0026quot; data-end=\u0026quot;2914\u0026quot;\u0026gt;Ability to operate in ambiguity and translate loosely defined problems into clear execution plans\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;19l0wna\u0026quot; data-start=\u0026quot;2915\u0026quot; data-end=\u0026quot;2976\u0026quot;\u0026gt;Excellent communication and stakeholder management skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;2978\u0026quot; data-end=\u0026quot;2991\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2978\u0026quot; data-end=\u0026quot;2991\u0026quot;\u0026gt;Preferred\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2992\u0026quot; data-end=\u0026quot;3346\u0026quot;\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;jqx4lh\u0026quot; data-start=\u0026quot;2992\u0026quot; data-end=\u0026quot;3131\u0026quot;\u0026gt;Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;bimqhs\u0026quot; data-start=\u0026quot;3132\u0026quot; data-end=\u0026quot;3186\u0026quot;\u0026gt;Familiarity with cloud infrastructure (GCP or AWS)\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;d0j4zi\u0026quot; data-start=\u0026quot;3187\u0026quot; data-end=\u0026quot;3268\u0026quot;\u0026gt;Prior experience in AI/ML platforms, data companies, or research environments\u0026lt;/li\u0026gt;\n\u0026lt;li data-section-id=\u0026quot;3hy78k\u0026quot; data-start=\u0026quot;3269\u0026quot; data-end=\u0026quot;3346\u0026quot;\u0026gt;Contributions to open-source projects in RL, agents, or developer tooling\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;hr data-start=\u0026quot;3348\u0026quot; data-end=\u0026quot;3351\u0026quot;\u0026gt;\n\u0026lt;h2 data-section-id=\u0026quot;1mcn5bt\u0026quot; data-start=\u0026quot;3353\u0026quot; data-end=\u0026quot;3381\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3356\u0026quot; data-end=\u0026quot;3381\u0026quot;\u0026gt;Why This Role Matters\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3383\u0026quot; data-end=\u0026quot;3573\u0026quot;\u0026gt;RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;3575\u0026quot; data-end=\u0026quot;3901\u0026quot;\u0026gt;In this role, you’ll lead the team building the environments that define how models learn—working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-section-id=\u0026quot;3icmhs\u0026quot; data-start=\u0026quot;116\u0026quot; data-end=\u0026quot;137\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;119\u0026quot; data-end=\u0026quot;137\u0026quot;\u0026gt;About Alignerr\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;139\u0026quot; data-end=\u0026quot;427\u0026quot;\u0026gt;Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.\u0026lt;/p\u0026gt;\n\u0026lt;hr data-start=\u0026quot;429\u0026quot; data-end=\u0026quot;432\u0026quot;\u0026gt;\n\u0026lt;h2 data-section-id=\u0026quot;k5dw9e\u0026quot; data-start=\u0026quot;434\u0026quot; data-end=\u0026quot;507\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\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;\u0026lt;em\u0026gt;Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.\u0026amp;nbsp; The expected annual base salary range for United States-based candidates\u0026lt;/em\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;em\u0026gt;is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;title\u0026quot;\u0026gt;Annual base salary range\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;Life at Labelbox\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Location\u0026lt;/strong\u0026gt;: Join our dedicated tech hubs in San Francisco or Wrocław, Poland\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Work Style\u0026lt;/strong\u0026gt;: Hybrid model with 2 days per week in office, combining collaboration and flexibility\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Environment\u0026lt;/strong\u0026gt;: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Growth\u0026lt;/strong\u0026gt;: Career advancement opportunities directly tied to your impact\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Vision\u0026lt;/strong\u0026gt;: Be part of building the foundation for humanity\u0026#39;s most transformative technology\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Our Vision\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your Personal Data Privacy\u0026lt;/strong\u0026gt;: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s \u0026lt;a href=\u0026quot;https://docs.labelbox.com/page/job-applicant-privacy-notice\u0026quot;\u0026gt;Job Applicant Privacy notice\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4049237007,"name":"Alignerr Services","child_ids":[],"parent_id":null}],"offices":[{"id":4022102007,"name":"San Francisco Bay Area","location":null,"child_ids":[],"parent_id":null}]}