# Technical Program Manager, Cloud AI Partnerships

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Technical Program Management
**Salary:** $257k – $445k/yr
**Skills:** Cloud Architecture, Ai/Ml Deployment, Model Serving, Distributed Systems, Inference Systems, Launch Readiness, Technical Roadmaps, Program Management, Cloud Platforms, Foundation Models
**Posted:** 2026-08-17

> Leads end-to-end technical programs that deploy OpenAI models and platform capabilities across strategic cloud partners. The role coordinates engineering and partner roadmaps, launch readiness, production integration, and cross-functional execution.

## Job Description

## 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.
- Own launch readiness across cloud partner platforms, including readiness checklists, blocker tracking, joint go/no-go reviews, and post-launch stability follow-through.
- Act 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.
- Provide transparent reporting on program status, issues, risks, and decisions required for senior leaders and stakeholders.
- Convert open issues into prioritized plans with clear owners, workbacks, and closure paths.
- Help build repeatable development and launch pipelines for OpenAI models on partner platforms.

## Requirements
- Substantial technical program management leadership across infrastructure, platform, or large-scale engineering work.
- Experience owning complex programs end to end.
- Experience leading complex partner-facing programs across company boundaries.
- Understanding of cloud architectures, AI/ML deployment, model serving, and production integration challenges.
- Direct experience with major cloud or AI platforms and model integration, launch, 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 alignment without direct authority.
- Strong judgment regarding risk, sequencing, and credible launch planning.

## Benefits
- Hybrid work model with three days in the office per week.
- Relocation assistance for new employees.

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