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Platform Product Partnerships Lead

OpenAI - San Francisco, California, United States, New York City

Posted May 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$116,543 national median
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

141% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Platform Product Partnerships Lead San Francisco, California, United States, New York City About the Role As a member of the Platform Partnerships team, you will lead some of the most important integrations connecting the world into OpenAI's flagship products, including Codex and ChatGPT. This role has enormous impact, as OpenAI users and their agents increasingly interact with third-party services. You will set partnership strategy, craft mutually beneficial commercial and technical agreements, and work closely with product and engineering teams to bring new platform capabilities to market. You will help decide what gets built, which partners to prioritize and how a new generation of AI-native services come to life. This role sits at the intersection of product, engineering, partnerships, and ecosystem strategy. The right person is someone who can run deals end-to-end, navigate ambiguity, push product thinking when needed, and move fast with partners and internal teams. In this role, you will - Lead full lifecycle partnerships, from identifying and prioritizing partners to negotiating terms, closing complex agreements, and driving partner success. - Work directly with Product and Engineering to shape how connectors, agents, and third-party workflows function inside ChatGPT and Codex. - Develop ecosystem relationships to drive deeper engagement across distribution, co-marketing, and product innovation. - Translate partner commercial needs, technical constraints, and market dynamics into program and product recommendations, prioritization calls, and go-to-market plans - Bring structure to ambiguous opportunities and help the team decide where to go deep, move fast, or say no. - Drive aggressive timelines by

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