Product Manager, Agents & Auto-Research

Bedrock Robotics Inc • San Francisco, CA

5d

About The Position

Bedrock is hiring a Product Manager to own the product for its agent platform and robotics auto-research, end to end. The agent platform supports agents that run, are evaluated, earn trust for load-bearing work, and are measured. Robotics auto-research focuses on agent loops that improve the autonomy stack, data, simulation, and infrastructure. The role reports to the Head of Product and works daily with agent platform, ML, simulation, and autonomy engineers.

The Product Manager will set strategy and roadmaps, define the standards and oversight needed for teams to rely on agents, and turn promising research loops into a production system. The role also owns outcome metrics, helps make internal systems agent-ready, keeps the platform model-agnostic, prototypes agents and workflows, and drives adoption across engineering, operations, and commercial teams.

Requirements

• At least 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 frontier models and agent behavior, including harnesses, tool use, context, evaluations, cost, and failure modes.
• Ability to form an informed view of a new model within days of its release.
• Experience designing evaluations for open-ended model behavior and making product decisions based on evaluation results.
• Daily use of AI coding tools such as Claude Code or Codex, fluency reading code, and ability to ship prototypes.
• Comfort with ML experimentation and research workflows, including following research discussions and challenging their rigor.
• Clear, concise writing and the ability to turn ambiguous direction into actionable plans with measurable outcomes.
• A track record of agency, including taking ownership of an unowned problem and carrying it to a real result.

Nice To Haves

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

Responsibilities

• Set the strategy and roadmap for agents and auto-research at Bedrock, prioritizing work by its impact on capability, cost, and speed.
• Define the evaluations, reliability standards, human oversight, and feedback loops required before teams can rely on agents for load-bearing work.
• Develop robotics auto-research loops into a production system with budgets, verdicts, provenance, and a clear path from experiments to shipped capabilities.
• Own and measure metrics such as agent adoption, the share of capability work completed by auto-research, and cost and time per result; set goals for those metrics.
• Make internal systems agent-ready so agents can read, act, and be held accountable across data, simulation, code, planning, and decisions.
• Keep the platform model-agnostic by selecting the best model for each workload while retaining ownership of context, traces, and memory.
• Build and prototype agents, evaluations, and workflows using AI coding tools.
• Drive adoption across engineering, operations, and commercial teams, and identify when an agent should not be trusted.

Benefits

• Experiments are tested against physical ground truth from a live fleet.
• The role has broad ownership of a frontier problem at a company where shipped work can change how people work within weeks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed