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OpenAIOpenAISan Francisco, CA

Technical Program Manager, Cloud AI Partnerships

Leads end-to-end technical programs that deploy OpenAI models and platform capabilities across strategic cloud partners. The role coordinates engineering, infrastructure, product, safety, and external partner teams while managing roadmaps, launch readiness, risks, and post-launch operations.

257k – 445k/yr
HybridTechnical Program Management

About the role

Responsibilities

  • Lead end-to-end execution for major cloud partner programs spanning model deployment, product integration, operational readiness, launch follow-through, and partner-platform adoption.
  • Own integrated technical roadmaps across OpenAI and partner teams, including milestones, dependencies, risks, resourcing needs, and sequencing for joint commitments.
  • Own launch readiness across cloud partner platforms, including readiness checklists, blocker tracking, joint go/no-go reviews, and post-launch stability follow-through.
  • Serve as a primary technical interface to partner engineering organizations, coordinating deployment, capacity, incidents, and open engineering issues.
  • Drive alignment across engineering, infrastructure, product, safety, security, legal, finance, and go-to-market teams.
  • Report program status, issues, risks, and required decisions to senior leaders and stakeholders.
  • Convert open issues into prioritized plans with clear owners, workbacks, and closure paths.
  • Build repeatable development and launch pipelines for OpenAI models on partner platforms.

Requirements and Qualifications

  • Substantial technical program management leadership across infrastructure, platform, or large-scale engineering work.
  • Experience owning complex programs end to end.
  • Experience leading partner-facing programs across company boundaries with clear operating rhythms and sustained follow-through.
  • Understanding of cloud architectures, AI/ML deployment, model serving, and production integration challenges.
  • Direct experience with major cloud or AI platforms, including model integration, launches, and customer onboarding.
  • Familiarity with foundation-model integration, packaging, launch, and operation through partner platforms or marketplaces.
  • Experience with inference systems, model serving, accelerator-backed infrastructure, or distributed systems.
  • Ability to balance strategic priorities with rapid, high-quality execution.
  • Strong communication with engineers, executives, and external partners, including the ability to create alignment without direct authority.
  • Strong judgment regarding risk, sequencing, target dates, and credible launch plans.

Skills

cloud architectureai/ml deploymentmodel servinginference systemsDistributed SystemsTechnical Program Managementlaunch readinesstechnical roadmapsplatform integrationaccelerator infrastructure

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