Strategic Projects Lead, AI Safety & Red Teaming
Overview
You will own the delivery of high-stakes data programs for frontier AI labs, shaping how AI Safety and alignment work gets done at scale. Working directly with safety, alignment, and trust & safety teams at labs like OpenAI, Anthropic, and Google DeepMind, you will translate their hardest data problems into executable projects. You will lead specialized red teamers and domain experts, build repeatable methodologies for adversarial testing, and drive revenue from first conversation to final delivery. This is a founding-level role at a fast-growing YC-backed company with $100M+ revenue run rate and a $300M valuation.
What You'll Do6
- 1Partner with safety, alignment, and trust & safety teams at frontier AI labs to scope their hardest data problems and translate them into deliverable programs that drive revenue.
- 2Recruit and lead specialized contributors: red teamers, security researchers, trust & safety practitioners, and domain risk experts, holding a high bar on output quality.
- 3Design specifications for adversarial datasets, jailbreak and attack taxonomies, refusal-boundary sets, and safety benchmarks that labs use to measure model behavior.
- 4Build repeatable red teaming machinery: human red team campaigns, automated attack generation, and coverage tracking against harm taxonomies, avoiding one-off deliverables.
- 5Own projects end-to-end from first conversation through final delivery, in a fast-moving environment where the spec often does not exist yet.
- 6Support initiatives across building, analysis, coordination, and execution as the safety practice scales.
Requirements8
- 12+ years in AI safety, red teaming, trust & safety, adversarial ML, or security research at a frontier AI lab, FAANG, top security firm, or equivalent.
- 2Hands-on adversarial experience: jailbreaking or stress-testing frontier models, prompt injection research, offensive security, penetration testing, bug bounty, CTFs, or trust & safety investigations.
- 3Fluency with harm taxonomies, evaluation design, safety frameworks, and model policy.
- 4High agency and ability to execute in ambiguity, defining problems before solving them.
- 5Strong writing skills to specify risk precisely enough for 50+ people to execute against.
- 6Genuine passion for AI and entrepreneurship, with a track record of competitive success.
- 7Strong leadership and communication skills.
- 8Python proficiency and the ability to write production-quality code.
Salary Insight
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