Product Manager, Agents & Auto-Research

The role

You will own the product for the agent platform and robotics auto-research. You will set strategy and roadmaps, build prototypes with AI coding tools, and define reliability standards for agents.

What you will do

• Set the strategy and roadmap for agents and auto-research.
• Define requirements for load-bearing agents including evals, reliability, and human oversight.
• Turn auto-research loops into a production system.
• Own metrics such as agent adoption, capability work share, cost, and time per result.
• Make internal systems agent-ready for data, simulation, code, planning, and decisions.
• Keep the company model-agnostic.
• Prototype agents, evals, and workflows using AI coding tools.
• Drive adoption across engineering, operations, and commercial teams.

Required qualifications

• 5+ years in product, research or engineering roles, including shipping LLM agents or AI systems that people rely on in production.
• Hands-on depth in how frontier models and agents behave: harnesses, tool use, context, evals, cost and failure modes.
• Experience designing evaluations for open-ended model behavior and making product calls from them.
• AI-native in your own work. You use Claude Code, Codex or similar every day, read code fluently and ship prototypes.
• Comfort with ML experimentation and research workflows.
• Clear, concise writing.

Nice to have

• Experience at a frontier AI lab or AI-native startup working on agents, evals, RL environments or automated research.
• Background in robotics, autonomy, simulation or ML infrastructure.
• Built an internal developer or research platform adopted across many teams.
• Published research or open-source work on agents, evals or AI for science.

About the company

Bedrock retrofits heavy equipment like excavators to be autonomous for use on real job sites. The team includes veterans from Waymo, Segment, and Uber Freight.