Enterprise Product Manager - AI Solutions
OpenAI - San Francisco, California, United States
Posted Apr 23, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
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
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Enterprise Product Manager - AI Solutions San Francisco, California, United States About the Team The Enterprise Platform Technology team builds and operates the platforms and integrations that run the company's core business workflows across Finance, People, Procurement and GTM. We deliver secure, scalable system connectivity and AI-native experiences that reduce manual work, strengthen controls, and improve operational reliability across the enterprise stack. About the Role As an Enterprise Product Manager, AI Solutions, you will identify, shape, and scale AI-enabled products and workflows for core enterprise functions, with an initial emphasis on Finance. You will partner with Finance, Enterprise Platforms Engineering, People and other enterprise teams to translate operational pain points into practical AI solutions, from copilots and agentic workflows to data products and system automations. This is an individual contributor role with broad cross-functional leadership: you will define the roadmap, prioritize high-impact use cases, run structured experiments, drive delivery across technical and non-technical teams, and measure adoption and business value. You will help turn fragmented tools, data, and processes into cohesive AI solutions that are secure, reliable, and usable in the real world. You will work hands-on with leading ERP, HCM, CRM, planning, ticketing and data platforms (e.g., Oracle, Workday, Salesforce, Databricks, etc.), along with our own internal products and platforms, ensuring solutions are grounded in the realities of data quality, controls, governance, and operational ownership. We're looking for people who can move fluidly from understanding business process needs to defining product requirements and collaborating with internal product teams to
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