Platform Engineering Manager, Forward Deployed Engineering (FDE)

About the teamOpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.About the roleAs the Engineering Manager for Platform FDE, you will lead a small team that acts as a multiplier for the broader FDE org. Your mandate is to increase the rate at which customer-grounded ideas become durable, generalizable platform bets, by providing hands-on product and engineering leverage to customer-tagged pods.You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed Platform FDE capacity where they can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.This role requires a combination of engineering leadership and strong product-oriented judgment. You will manage a focused portfolio of platform incubation work with explicit hypotheses, success criteria, and measurable adoption outcomes, and you will be accountable for translating deployment signal into reusable capabilities that can be handed off cleanly to long-term owners. You will be expected to lead through influence across multiple stakeholders, uphold a high technical bar, and establish clear responsibility boundaries between your team, customer pods, and partner organizations.This role is based in San Francisco or New York City and is not a travel role. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically <10%, with occasional spikes for key embeds or launches.In this role you willGuide a focused portfolio of platform bets: Steer direction for a small number of high-signal problems, with clear hypotheses, success criteria, sequencing, and measurable adoption outcomes.Build and validate with customers: Ensure the team ships working software with design partners, instruments usage and outcomes, and iterates quickly based on real-world adoption and constraints.Co-develop with long-term owners: Partner early with B2B Platform (and other durable owners) to align on architecture, interfaces, security/governance requirements, and handoff criteria, staying engaged through validation and the path to scale.Maintain a high engineering bar: Set and enforce standards for design, code quality, testing, observability, and operational readiness appropriate for enterprise use.Grow and develop the team: Coach and develop engineers through direct feedback, clear expectations, and durable team mechanisms that reinforce execution and ownership.Operate with high judgment and influence: Make clear tradeoffs under ambiguity, communicate decisions crisply across stakeholders, and drive outcomes through partnership rather than formal authority.You might thrive in this role if youBring 8+ years of engineering experience, including 2+ years managing high-performance engineersAre deeply customer-obsessed and can partner credibly with senior stakeholders while keeping a high bar for delivery and technical rigor.Naturally act as a shepherd: you elevate and refine ... (truncated, view full listing at source)