Original listing text, shown exactly as published by the company.
About the Role
We are looking for an expert in biological and chemical risks to lead red teaming efforts for biosafety and to help mature OpenAI’s bio bounty programs. You will help shape biology-relevant test plans, guide external and internal engagements, ensure our testing is impactful, and translate findings into clear outcomes. In addition, you’ll play a critical role in driving our bio bounty programs, including managing external researcher relationships, evolving challenge questions, reviewing submissions that require biological subject-matter expertise, and maturing the program as it continues to scale.
This role also requires broad and deep CBRN expertise, strong operational judgment or program management experience, and an adversarial mindset. You should be well-versed in understanding how a determined actor might misuse frontier AI systems, while also knowing how to turn sensitive findings into constructive, actionable safety work.
In this role, you will
- Lead bio red teaming work from a domain perspective, including shaping evaluation questions, scenarios, and success criteria for biology-relevant misuse pathways.
- Review and pressure-test bio red teaming outputs, assess report quality, and help translate findings into concise risk calls and recommended next steps.
- Identify new red teaming engagements or external expert collaborations that would improve OpenAI's visibility into biological and overall CBRN misuse risks.
- Bring an adversarial mindset to assess how malicious actors could attempt to misuse model capabilities across planning, protocol design, procurement, troubleshooting, and operationalization.
- Directly manage Bio Bounty program strategy and maturity, including challenge-question lifecycle, expert researcher pipeline, submission review standards, and program health.
- Partner with operations owners on program execution while providing subject-matter review where biological expertise is required.
- Review Bio Bounty applications and invite known experts when appropriate to strengthen the researcher pool.
- Lead final biological-risk review on eligible submissions before awards, including severity, impact, novelty, and mitigation.
- Lead cross-functional efforts with Preparedness, Safety Systems, Policy, Legal, and other teams to turn high-quality findings into concrete follow-up work.
- Communicate findings clearly to technical and non-technical stakeholders, including concise briefings for leadership when needed.
You might thrive in this role if you
- Have a technical/scientific background with at least 8 years of technical CBRN experience
- Have deep subject-matter expertise in biosafety, biosecurity, biodefense, synthetic biology, microbiology, public health security, or adjacent CBRN domains, ideally with experience assessing dual-use biological risks.
- Have experience with bio red teaming, threat modeling, misuse analysis, adversarial testing, intelligence analysis, or professional casework involving malicious actors or weaponization pathways.
- Bring strong operations and/or program management experience.
- Can prioritize ambiguous findings based on severity, feasibility, novelty, exposure, and potential real-world impact.
- Have excellent judgment when handling sensitive biological information and can separate legitimate research from content that may enable harm.
- Communicate complex technical and risk judgments in clear, grounded language for product, policy, safety, legal, and leadership audiences.
- Are comfortable working cross-functionally in fast-changing environments where the right answer may require both technical depth and pragmatic execution.
- Have enough technical fluency to partner with data, engineering, and safety teams on signals, tooling, and scalable review processes.
- Are resilient and thoughtful when engaging with sensitive, high-stakes material.
Nice to have
- Prior experience managing a bounty, vulnerability disclosure, external researcher, or expert review program.
- Experience with AI safety evaluations, model red teaming, or frontier model risk assessment.
- Familiarity with how advanced AI systems may affect biological safety, biosecurity, or CBRN risk.
