Product Manager, Agent Harness (Robotics)

The role

You will own the agent harness platform from vision to release. You will define agent planning, tool use, and execution while working with technical users to find use cases in robotics research, design, and deployment.

What you will do

• Own the agent harness end to end from vision to focused releases
• Define how the agent plans, uses tools, manages context, and executes
• Shape how users delegate physical-world work and intervene in results
• Work with technical users to find initial use cases
• Drive agent reliability through evaluations, user feedback, and telemetry
• Prototype agent workflows and integrate tools
• Investigate failures through code and execution traces
• Work with Brain, Hardware, and Platform specialists to make product calls

Required qualifications

• Built coding agents (Codex, Claude Code, Cursor, Devin, Lovable, or comparable) as a PM, engineer, or technical founder
• Understand agent systems design decisions and tradeoffs
• Navigate unfamiliar codebases and prototype agent workflows
• Use evaluations, user feedback, and telemetry to improve agent reliability
• Have strong product judgment for autonomous workflows
• Learn unfamiliar technical domains fast through papers, code, and experiments
• Own outcomes and turn ambitious ideas into focused releases

Nice to have

• Familiarity with robotics and physical AI, such as inverse kinematics, motion planning, control, reinforcement learning, imitation learning, VLAs, or WAMs
• Experience with room scanning, 3D reconstruction, scene understanding, or converting real environments into simulation assets
• Experience with simulation and robot learning infrastructure
• Familiarity with robot design and manufacturability, including CAD, component selection, bills of materials, assembly, sourcing, and cost constraints

About the company

Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it.