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Jobs/San Francisco/Technical Deployment Lead, Forward Deployed Engineering (FDE)- Platform
San Francisco, CA

Technical Deployment Lead, Forward Deployed Engineering (FDE)- Platform

About the team OpenAI’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.

Company
OpenAI
Compensation
$198K - $335K
Schedule
Full-Time
Role overview

What this role actually needs.

About the team OpenAI’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. Responsibilities: - Define pilot scope and success criteria: Partner with customer sponsors and technical leads to translate goals into a concrete plan, measurable outcomes, and clear acceptance criteria. - Own the delivery plan across work streams: Build and run integrated milestones, dependencies, and execution rhythms across Applied, platform engineers, and customer teams. - Drive stakeholder alignment and decision-making: Lead internal and external working sessions, keep tradeoffs explicit, unblock decisions, and escalate crisply when needed. - Ensure enterprise readiness from day one: Pressure-test security posture, permissions and access boundaries, audit-ability, and deployment/infra requirements as part of the delivery plan. - Manage production adoption and value realization: Drive onboarding, enablement, and change management so deployments land in real workflows and deliver measurable impact. - Run multiple deployments with rigor: Maintain clear status, risks, and mitigations across concurrent pilots, and continuously adjust plans to protect outcomes. Requirements: - Manage production adoption and value realization: Drive onboarding, enablement, and change management so deployments land in real workflows and deliver measurable impact. - Run multiple deployments with rigor: Maintain clear status, risks, and mitigations across concurrent pilots, and continuously adjust plans to protect outcomes. - Convert learnings into actionable next steps: Synthesize what worked and what broke into clear requirements, sequencing proposals, and improvements to the platform delivery approach. - Have 5+ years leading complex, customer-facing technical delivery where you owned outcomes end-to-end in high-ambiguity environments. - Are deeply credible with senior technical stakeholders and can whiteboard architectures, reason about enterprise deployment constraints, and go in the weeds when required. - Have strong instincts for enterprise security and governance , including permissions/RBAC, audit trails, data access boundaries, and rollout safety. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Technical Deployment Lead, Forward Deployed Engineering (FDE)- Platform role.

  • Define pilot scope and success criteria: Partner with customer sponsors and technical leads to translate goals into a concrete plan, measurable outcomes, and clear acceptance criteria.
  • Own the delivery plan across work streams: Build and run integrated milestones, dependencies, and execution rhythms across Applied, platform engineers, and customer teams.
  • Drive stakeholder alignment and decision-making: Lead internal and external working sessions, keep tradeoffs explicit, unblock decisions, and escalate crisply when needed.
  • Ensure enterprise readiness from day one: Pressure-test security posture, permissions and access boundaries, audit-ability, and deployment/infra requirements as part of the delivery plan.
  • Manage production adoption and value realization: Drive onboarding, enablement, and change management so deployments land in real workflows and deliver measurable impact.
  • Run multiple deployments with rigor: Maintain clear status, risks, and mitigations across concurrent pilots, and continuously adjust plans to protect outcomes.
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Manage production adoption and value realization: Drive onboarding, enablement, and change management so deployments land in real workflows and deliver measurable impact.
  • Run multiple deployments with rigor: Maintain clear status, risks, and mitigations across concurrent pilots, and continuously adjust plans to protect outcomes.
  • Convert learnings into actionable next steps: Synthesize what worked and what broke into clear requirements, sequencing proposals, and improvements to the platform delivery approach.
  • Have 5+ years leading complex, customer-facing technical delivery where you owned outcomes end-to-end in high-ambiguity environments.
  • Are deeply credible with senior technical stakeholders and can whiteboard architectures, reason about enterprise deployment constraints, and go in the weeds when required.
  • Have strong instincts for enterprise security and governance , including permissions/RBAC, audit trails, data access boundaries, and rollout safety.
UpJobz market context

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Source: jobs.ashbyhq.com · Source ID: e6df42d0-6789-459e-b77b-62d7c5fd78da · Confidence: 97/100 · Last checked: May 7, 2026

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