Product Manager, Agents & Auto-Research

Bedrock Robotics • San Francisco, CA

5d

About The Position

Bedrock Robotics is building AI and autonomy systems for heavy construction equipment, starting with excavators. The Product Manager, Agents & Auto-Research will own the product for Bedrock’s agent platform and robotics auto-research, helping scale agents that perform real work and build research loops that improve the autonomy stack, data, simulation, and infrastructure. The role focuses on making each new capability, machine, and decision faster and less costly to deliver.

The position 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 safeguards for agents trusted with important work, turn research loops into production systems, establish outcome metrics, and make internal systems ready for agent use. The role also involves prototyping agents, evaluations, and workflows directly with AI coding tools; driving adoption across engineering, operations, and commercial teams; and helping determine when agents should not be trusted.

Bedrock describes the role as an opportunity to test systems against physical ground truth from a live fleet, work on agents as part of the company’s operating model, and own a significant frontier problem at a company where shipped work can change how teams operate within weeks.

Requirements

• At least 5 years of experience 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 independent 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.
• Regular 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 ability to follow research discussions and challenge their rigor.
• Clear, concise writing and ability to turn ambiguous direction into an actionable plan with measurable outcomes.
• Track record of agency, including taking ownership of an unowned problem and carrying it through 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 based on its impact on capability, cost, and speed.
• Define the evaluations, reliability standards, human oversight, and feedback loops required for teams to rely on agents for important work.
• Turn auto-research loops into a production system with budgets, verdicts, provenance, and a clear path from experiment to shipped capability.
• Own and measure metrics such as agent adoption, the share of capability work done by auto-research, and cost and time per result; establish 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 company model-agnostic by selecting the best model for each workload while retaining ownership of context, traces, and memory.
• Prototype agents, evaluations, and workflows directly using AI coding tools.
• Drive adoption of agents across engineering, operations, and commercial teams, and exercise judgment about when agents should not be trusted.

What This Job Offers

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