Product Policy, Cyber Policy Manager
OpenAI - San Francisco, California, United States
Posted May 4, 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 checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $102,662 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +5.4% - Faster than average
Matched to SOC 11-1021 - Product Management 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
Product Policy, Cyber Policy Manager San Francisco, California, United States About the Team The Product Policy team develops, implements, enforces, and communicates the policies that govern use of OpenAI's services, including ChatGPT, Codex, GPTs, and the OpenAI API. This cyber-focused role will help define how OpenAI enables legitimate cybersecurity work while reducing the risk that our products are misused for cyber abuse. This role sits at the intersection of AI capability, cybersecurity practice, and abuse prevention: helping defenders use OpenAI's tools effectively while setting clear boundaries against malicious cyber activity. About the Role As a Product Policy Manager specializing in Cyber, you will combine cyber and policy expertise to guide how OpenAI evaluates, launches, and governs capabilities relevant to cybersecurity. You will work closely with product, engineering, research, safety, security, legal, operations, and go-to-market teams to translate complex cyber risk into practical product policy, implementation standards, enforcement guidance, and launch decisions. The role requires understanding both sides of the cyber equation: how defenders investigate, detect, triage, and respond to threats, and how malicious actors may attempt to misuse AI systems for vulnerability exploitation, social engineering, malware enablement, credential abuse, or other harmful activity. Strong candidates may bring depth in one or more cyber domains, such as attacker tradecraft, vulnerability discovery, malware analysis, phishing and credential abuse, identity and access risks, incident response, detection engineering, secure development, threat intelligence, abuse investigations, or security tooling - along with the ability to reason across adjacent areas. You do not need to have held
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