Enterprise Security Engineer, Vulnerability Management
OpenAI · San Francisco · US - Remote
Frontier labremote$347k–$445k
At a glance
Highlights
- Investigate novel vulnerabilities and zero-days with no established playbook.
- Build security automation and use AI agents to solve practical problems.
- Shape how enterprise security operates as agents become everyday work.
What they offer
- Equity
Ideal candidate
Independent investigator who thrives on ambiguous zero-days and owns remediation end-to-end. You think clearly about tradeoffs, collaborate well, and are excited to use AI agents to strengthen enterprise defenses.
Requirements
- Independently investigated novel or emerging vulnerabilities and driven enterprise remediation through verified closure
- Technical depth in a relevant security domain and working knowledge across networks, endpoints, and SaaS
- Can understand and improve code and safely integrate APIs and security systems
- Solved substantive problems using AI agents and can explain how work was evaluated and corrected
- Thinks clearly about security tradeoffs, ambiguous evidence, and changing risks of agentic systems
- Collaborates effectively, takes ownership, and communicates technical risk to varied audiences
- remote policy
- Open to remote candidates in the United States
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets
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