Strategic Projects Lead

Responsibilities

• Project and client management: Partner directly with the safety, alignment, and trust & safety teams at frontier AI labs — scoping their hardest data problems, translating them into deliverable programs, and driving revenue.


• Manage expert teams: Recruit and lead specialized contributors — red teamers, security researchers, trust & safety practitioners, and domain risk experts — and hold a high bar on the quality of what they produce.


• Shape how frontier models are made safe: Design the specifications behind adversarial datasets, jailbreak and attack taxonomies, refusal-boundary and over-refusal sets, and safety benchmarks that labs use to measure and improve model behavior.


• Build the red teaming machinery: Stand up repeatable methodologies — human red team campaigns, automated attack generation, coverage tracking against harm taxonomies — rather than one-off deliverables.


• End-to-end execution: Own projects from first conversation through final delivery, in a fast-moving environment where the spec often does not exist yet.


• Operational impact: Support initiatives across building, analysis, coordination, and execution as we scale the safety practice.
  
  
  

• 2+ years in AI safety, red teaming, trust & safety, adversarial ML, or security research; at a frontier AI lab, FAANG, top security firm, or equivalent.


• Hands-on adversarial experience: jailbreaking or stress-testing frontier models, prompt injection research, offensive security, penetration testing, bug bounty, CTFs, or trust & safety investigations and enforcement.


• Fluency with how safety work is actually structured (harm taxonomies, evaluation design, safety frameworks and model policy).


• High agency and the ability to execute in ambiguity; comfort defining the problem before solving it.


• Strong writing. Much of this job is specifying risk precisely enough that fifty other people can execute against it.


• Genuine passion for AI and interest in entrepreneurship.


• Demonstrated track record of competitive success.


• Strong leadership and communication skills.


• Python proficiency and the ability to write production-quality code.
  
  
  

• Published safety, alignment, or security research.


• Track record in bug bounty, CTF, or model red teaming competitions.


• Experience building automated red teaming or eval pipelines.


• Depth in a high-consequence risk domain (cyber, bio, fraud and financial crime, child safety, influence operations).


• Experience using AI tools to automate workflows and build products.