Technical Threat Investigator
OpenAI- Compensation
- $230k–$385k Published range
- Location
- Hybrid - San Francisco, CA (regular in-person engagement expected) Remote eligibility
- Employment
- Full-time Mid-level
About the job
About the Team
Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models.
About the Role
As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll translate your investigative findings into durable solutions that scale impact, building and owning lightweight tooling, automating where it matters, and creating AI-assisted workflows.
Responsibilities
- Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem.
- Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity.
- Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI.
- Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines.
- Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort.
- Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited.
- Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes.
- Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders.
Qualifications
- Experience in threat intelligence, incident response, offensive security, or a closely related field.
- Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments.
- A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations.
- Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings.
- Experience using AI to extend or accelerate investigative workflows.
- Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability.
- Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed.
- Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal outputs for diverse stakeholders.
- Comfort operating independently in ambiguous, fast-moving problem spaces with minimal oversight.
Compensation & Benefits
Salary range: $230K – $385K. Offers equity.
Location
This is a remote role with close collaboration required across teams in the US and UK. While the role is remote, regular in-person engagement with our San Francisco (SF) headquarters will be expected. Relocation assistance is available for candidates who wish to relocate to SF.
Application Instructions
Apply via the provided link.
Skills & tags
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