About The Position

As a Technical Deployment Lead Manager (TDL Manager) in the FDE team, you will build and lead TDLs through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You will lead TDLs who translate business outcomes into technical delivery plans, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will set the bar on scope, sequencing, risk management, and communication. When deployments drift or stakes spike, you will step in to reset the plan, unblock teams, and protect customer trust. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel of approximately 25% is required.

Requirements

  • Bring 8+ years of customer-facing technical delivery leadership, including 2+ years managing high-performing technical delivery, program management, or customer engineering teams.
  • Have led high-pressure technical projects from prototype to production.
  • Simplify complex work and make fast, sound decisions under pressure.
  • Elevate team performance through clarity, not process.
  • Operate with urgency in ambiguous or evolving environments.
  • Build deep trust with your team by modeling calm, focus, and judgment when it matters most.
  • Have built and scaled an operating model for delivery: staffing, cadence, artifacts, risk management, and clear ownership across teams.
  • Have technical fluency and sharp sequencing judgment. Confident pressure-testing architectures and trade-offs across security, reliability, latency, cost, and scope.

Responsibilities

  • Lead and grow a team of TDLs delivering production systems with frontier models
  • Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality
  • Codify what works into tools, playbooks, and roadmap inputs that create leverage
  • Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices
  • Use judgement to distinguish what requires action and what does not
  • Set a high bar for TDL performance and support each person’s growth through direct, actionable feedback
  • Define how we staff and support field teams that can scale without added complexity
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