Technical Product Manager, Trust & Safety
Core
Define and deliver advanced data products (safety training data, RL environments, evaluation frameworks) to help AI research teams train and evaluate safer, trustworthy models.
Role type
Senior Technical Product Manager (AI Safety & Trust)
Builds
Data products for AI research teams, sandboxed reinforcement learning environments, safety rubrics, and evaluation frameworks.
Domain
Artificial Intelligence / Machine Learning / Cybersecurity
Deliverable
production ML models
Required skills
Product lifecycle management, AI safety concepts (reward hacking, deceptive alignment, prompt injection), RLHF/RLAIF, agentic AI systems, technical tradeoffs, metric design, 0-1 product launch
Preferred skills
Python, Docker, virtual machines, browser automation, adversarial problem-solving
Technologies
Python, Docker, virtual machines, browser automation
Responsibilities
Define and deliver data products for AI research teams; Design sandboxed, trap-based reinforcement learning environments; Develop cybersecurity-focused scenarios; Build safety into agentic tasks through behavioral rubrics; Define and manage evaluation frameworks and measurable safety metrics; Identify evaluation gaps and drive continuous product improvements; Prioritize product opportunities by defining problems and evaluating tradeoffs; Collaborate with AI researchers, ML engineers, red-team specialists, and policy experts; Monitor developments in agentic AI risks and translate findings into product roadmap priorities; Prepare clear product specifications and safety reports.
Seniority
Senior, hands-on IC
