Technical Deployment Lead, Forward Deployed Engineering (FDE) - NYC
About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements.
What this role actually needs.
About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. Responsibilities: - Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research work streams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. Requirements: - Partner with Product and Research so platform components and research work streams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. - Bring 7+ years of customer‑facing technical delivery leadership. - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Technical Deployment Lead, Forward Deployed Engineering (FDE) - NYC role.
- Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
- Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
- Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.
- Partner with Product and Research so platform components and research work streams land in time to support deployment goals.
- Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
- Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Partner with Product and Research so platform components and research work streams land in time to support deployment goals.
- Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
- Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.
- Bring 7+ years of customer‑facing technical delivery leadership.
- Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.
- Excel in high ambiguity environments. Know how to simplify complex and dynamic work.
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Source: jobs.ashbyhq.com · Source ID: 9f2e4897-be7d-40a1-804d-37e6608f506b · Confidence: 97/100 · Last checked: May 7, 2026
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