Product Manager, Physical AI Agents

What you'll do

• Set product priorities and roadmap across on-robot policies, developer SDK, and cloud evaluation and deployment tools.
• Translate advances in AI research into usable product features and create frameworks to measure agent quality.
• Work with users and cross-functional teams to improve the platform and shape its open ecosystem.

What they ask for

• 5+ years of product management experience on technically deep products, with a track record of taking 0→1 products from research artifact to something people rely on.
• Strong, current understanding of AI agents and daily use of agentic tools.
• Technical fluency in the modern AI stack, including VLAs, imitation learning, RL, evaluation methodology, data pipelines, harness engineering, RAG, and tool use.
• Understanding of hardware/software interfaces, including sensors, actuators, latency, failure modes, and simulation-to-real-world gaps.

Nice to have

• Hands-on technical background in engineering, applied research, or a CS/robotics graduate degree.
• Experience deploying robotic, autonomous, or embedded systems in production environments.

Pay

$100K – $300K (USD; base salary or total pay not specified)

Tools

VLAs, imitation learning, RL, RAG, developer SDK, sensors, actuators

AI focus

Product management for physical AI agents, including translating AI research into features, defining agent evaluation and quality metrics, and improving agent deployment and behavior in real-world robotics.