Program Manager, Partner Operations
OpenAISan FranciscoPosted 25 April 2026
Job Description
Program Manager, Partner Operations
About the Team
OpenAI's Research Team is at the forefront of AI research, pushing the limits of what AI can achieve. Our team is dedicated to developing advanced AI systems that are powerful, safe, and beneficial for everyone.
About the Role
The Research IP Partnerships team is hiring a Partnership Operations team member to help execute and improve the operational workflows behind our external research partnerships.
In this role, you will work on high-priority, ambiguous problems at the intersection of research, partnership, and applied engineering. You will manage complex processes, track key deliverables, support partner-facing requests, and improve how the team operates at scale. This role is well suited for someone who is highly organized, detail-oriented, action-oriented, and comfortable operating in a fast-paced environment with evolving requirements.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
- Support the execution of critical partner-facing operational workflows.
- Build and improve processes, tools, and automations that increase team efficiency and reduce operational friction.
- Manage day-to-day execution against partner commitments with strong attention to detail.
- Deep dive into the critical drivers of operations and identifying opportunities for optimization and innovation.
- Manage critical inquiries from both technical and non-technical partners.
You might thrive in this role if you:
- Have experience in strategy & operations, program management, consulting, investment banking, or a similar execution-focused role.
- Have an engineering background or strong technical fluency, and are comfortable working closely with research and engineering teams.
- Are fantastic at building cross-functional relationships and having empathy for the many roles involved in deploying research.
- Are a great communicator across written, presentation, and visual forms.
- Are engaged and curious about the rapidly evolving AI landscape.
Specific technologies / skills that will be helpful in this role
- Experience with vibe coding tools, agentic models or OpenAI LLM APIs: e.g., Codex.
- Project management tools: e.g., Jira.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or ... (truncated, view full listing at source)
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