Technical Threat Investigator, Threat Intel Engineering

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. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. 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. This is a deeply investigative role. 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 use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: - 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. You might thrive in this role if you have: - 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. 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. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we

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.