Dexmate

Product Manager, Physical AI Agents

Santa Clara Office

Sponsorship not specifiedDetected 73 days ago

Machine LearningData EngineeringLLMsRAGAgentic AIProduct ManagementEmbedded SystemsRoboticsResearchActuators

About the role

As Product Manager for Physical AI Agents, you'll be at the forefront of defining what general-purpose robotic agents become next.
You'll work shoulder-to-shoulder with research, engineering, hardware, and our earliest users, balancing what's possible today against what we want to be possible six months from now.

Own the roadmap. Define the strategic priorities and feature roadmap for our physical AI agent product, from on-robot policies to the developer SDK to the cloud-side evaluation and deployment surfaces. Decide what we build, what we cut, and what we say no to.
Deeply understand the people building on us.
Identify the opportunities where our platform can make building physical AI faster, more reliable, and more powerful.
Drive cross-functional execution. Align research, engineering, hardware, design, and GTM around a coherent product narrative. Make tradeoffs in writing. Defend them. Revisit them when the data says you were wrong.
Excellent product judgment under ambiguity. You make crisp decisions with incomplete information, communicate them in concise written documents, and update fast when you're wrong.
High agency and bias for shipping. You ship v1s quickly and iterate to quality. You don't wait for permission. You don't manage a backlog
Own the roadmap.
You make crisp decisions with incomplete information, communicate them in concise written documents, and update fast when you're wrong.
You don't manage a backlog; you define a category.

5+ years of product management experience on technically deep products - AI/ML, agents, developer platforms, robotics, autonomy, or similar.
Track record of taking 0→1 products from research artifact to something people rely on.
You have an opinionated, current view of where agents are going.
You can look at a model release, a research paper, or a competitor launch and tell us what it means for our roadmap.
Comfort at the hardware/software boundary.
Hands-on technical background - engineering, applied research, or a CS/robotics graduate degree.
Experience deploying robotic, autonomous, or embedded systems in production environments.
Early-stage startup experience - you know what it actually feels like.
Quality you can't measure is quality you won't ship.

Work closely with our research team to turn advances in VLAs, imitation learning, and reinforcement learning, world models, etc. into features developers and enterprises can actually use.
Deep technical fluency in the modern AI stack: VLAs, imitation learning, RL, evaluation methodology, data pipelines, harness engineering, RAG, tool use, etc.

Physical AI is one of the most consequential platform shifts of the next decade, and the gap between research demos and reliable, deployed agents is where most of the work lives.
The PM who closes that gap - for our robots, for our developers, for our enterprise customers - is shaping what the entire field looks like.
If you want to do that work, with a small team that's already shipping, we'd love to hear from you.

This listing is sourced directly from Dexmate's careers page and normalized into a canonical job model.