Product Manager, Physical AI Agents

The role

You will define the strategic priorities and feature roadmap for physical AI agent products. You will work with research, engineering, hardware, and users to translate frontier capabilities into usable features.

What you will do

• Own the roadmap for physical AI agent products including on-robot policies, developer SDK, and cloud-side surfaces.
• Translate advances in VLAs, imitation learning, reinforcement learning, and world models into features.
• Identify opportunities by spending time with developers, researchers, and enterprise users.
• Build evaluation frameworks, metrics, and review cadences to measure agent quality.
• Decide what to open source and how to cultivate a community of builders.
• Align research, engineering, hardware, design, and GTM around a product narrative.

Required qualifications

• 5+ years of product management experience on technically deep products such as AI/ML, agents, developer platforms, robotics, or autonomy.
• Track record of taking 0 to 1 products from research artifact to something people rely on.
• Strong AI agent sense with an opinionated view of where agents are going.
• Daily use of agentic tools.
• Deep technical fluency in the modern AI stack including VLAs, imitation learning, RL, evaluation methodology, data pipelines, harness engineering, RAG, and tool use.
• Comfort at the hardware/software boundary including sensors, actuators, latency, failure modes, and the gap between sim and real.
• Excellent product judgment under ambiguity.
• Genuine love for builders.
• High agency and bias for shipping.

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.
• Background in developer-facing platforms, SDKs, or APIs.
• Have shipped or contributed to an agent or LLM-powered product end-to-end.
• Early-stage startup experience

About the company

Dexmate is building the foundation for physical AI by combining a new generation of robots with a universal Physical AI OS. Their mission is to democratize robotics by delivering a plug-and-play platform for developers, researchers, and enterprises.