---
title: 'Product Manager, Physical AI Agents at Dexmate'
canonical: 'https://feeny.ai/job/product-manager-physical-ai-agents-dexmate-fremont-f8zkafdda00c'
type: 'job'
last_seen: '2026-09-13'
---

# Product Manager, Physical AI Agents at Dexmate

- **Company:** Dexmate
- **Location:** Fremont, CA
- **Compensation:** $100k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-10
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/dexmate/d82445ef-6e56-4ae3-b969-2c41a914c1b1/application

**Skills:** Product Management, AI/ML, Robotics, Autonomy, Agentic Tools, VLAs, Imitation Learning, Reinforcement Learning, RAG, Data Pipelines, Harness Engineering, Product Roadmapping, Robotic Systems, Autonomous Systems, Embedded Systems, Developer-Facing Platforms, SDKs, APIs, LLM Product Development

> Define the strategic roadmap and product strategy for physical AI agents, bridging the gap between cutting-edge research in VLAs and RL and practical developer experiences. This role involves translating frontier capabilities into product features, building evaluation frameworks, and shaping the open ecosystem for p...

## Job description

## About Dexmate

Dexmate is building the foundation for physical AI — combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI. If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.

## 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. The form factor of physical AI is still unwritten — what an agent can do, how developers build with it, what "good behavior" means in the real world, and where the line between model and product sits are all open questions. You will answer them, in product.

You'll set clear priorities and drive improvements across the agent stack — model capabilities, developer surfaces, evaluation systems, and the workflows that turn a robot into something a customer relies on. 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.

This role is for a technically deep, opinionated PM who thrives in ambiguity, has strong instincts about where AI agents are going, and wants to define a category rather than manage a backlog.

## What you'll do

- 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.
- Translate frontier capabilities into product. 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. Stay ahead of model capabilities, not behind them.
- Deeply understand the people building on us. Spend real time with developers, researchers, and enterprise users. Watch agents fail in the wild. Identify the opportunities where our platform can make building physical AI faster, more reliable, and more powerful.
- Define what "good" means. Build the evaluation frameworks, metrics, and review cadences that make agent quality measurable — success rate, recovery behavior, safety envelopes, time-to-first-skill, intervention rate. Quality you can't measure is quality you won't ship.
- Shape the open ecosystem. Decide what we open source, what we publish, and how we cultivate a community of builders. Help define how our platform boosts physical AI development.
- 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.

## What we're looking for

- 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.
- Strong AI agent sense. 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. You use agentic tools daily and have intuitions about what works and what doesn't.
- Deep technical fluency in the modern AI stack: VLAs, imitation learning, RL, evaluation methodology, data pipelines, harness engineering, RAG, tool use, etc. You don't need to train the model, but you need to reason about it as a peer to our researchers.
- Comfort at the hardware/software boundary. You understand sensors, actuators, latency, failure modes, and the gap between sim and real. Physical AI breaks in ways pure software AI doesn't, and you're energized by that, not scared of it.
- 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.
- Genuine love for builders. You care about the experience of the developer, researcher, or operator using our platform — and it shows in the product.
- 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; you define a category.

Bonus

- Hands-on technical background — 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 — you know what it actually feels like.

## Why this role matters

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.

## About Dexmate

## Company Overview
- **One-liner**: Dexmate builds general-purpose robots with manipulation capabilities, integrating custom hardware with AI models for robotic operation.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: Santa Clara, California, United States
- **Founded**: 2024
- **Founders**: Tao Chen (Co-Founder, CEO), Yuzhe Qin (Co-Founder, CTO), Chongyang Wang (Co-Founder)

## Core Business
- Primary industry/industries: Robotics Engineering, Artificial Intelligence, Automation
- Target customers: B2B (enterprise, logistics, manufacturing, and research organizations)
- Mission or purpose statement: "Building tomorrow's intelligence and automation."

## Products & Services
- **[Vega]**: A general-purpose mobile robot with high-payload arms, dexterous hands, a foldable torso, and an omnidirectional base. The robot is powered by custom-built hardware integrated with AI models for physical robotic operation.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding raised via a Seed Round (closed ~March 2026) with participation from LG Technology Ventures as a lead investor.
- **Notable Investors/Partners**: LG Technology Ventures (lead investor), LG CNS (strategic partner for building Physical AI infrastructure for smart logistics).
- **Growth Signals**: Headcount grew +328.6% year-over-year (from ~4 to 18 employees). LinkedIn followers grew +67.8% yearly. In April 2026, launched the "Dexmate Build with Vega U Research Grant Program," selecting six research teams to receive a Vega robot. Strong hiring momentum with 11 active job postings as of mid-2026.

## Competitive Advantages
- **Integrated Hardware + AI Stack**: Designs custom high-payload arms, dexterous hands, and omnidirectional bases specifically for AI-driven manipulation, creating a tight hardware-software moat.
- **Physical AI Focus**: Differentiating by building "Physical AI" that moves beyond lab settings into real-world logistics and manufacturing, as evidenced by the partnership with LG CNS.
- **Rapid Scaling**: Demonstrated ability to grow headcount and attract top-tier talent from institutions like Carnegie Mellon University, UC San Diego, and companies like NVIDIA and Bosch.

## Strategic Focus
- **Physical AI Infrastructure**: Partnering with LG CNS to build the infrastructure that enables Physical AI to operate in smart logistics and manufacturing environments.
- **Research & Ecosystem**: Grant programs to seed the research community with Vega robots, driving platform adoption and innovation.
- **Talent Acquisition**: Aggressively hiring across engineering (AI, robotics, embedded systems), design, product management, and business development to scale the team.

## Why Work Here
- **Mission-Driven**: Opportunity to work on cutting-edge general-purpose robotics and Physical AI, moving technology from labs to real-world impact.
- **Engineering-Heavy Culture**: 60% of employees are in technical roles (AI, robotics, software, hardware), with a strong emphasis on hands-on building.
- **Fast-Growing Startup**: ~328% headcount growth in one year, indicating high trajectory and opportunity for early employees to have outsized impact.
- **Location**: HQ in Santa Clara, CA (Silicon Valley), with an in-office work policy (on-site workspace).
- **Compensation**: Engineering roles list salary ranges like $100K–$300K, competitive for the robotics/AI space.
- **Notable Culture Signals**: "Build with us" hiring language, active LinkedIn community (4,273 followers), and a focus on "smile, reach out, and instantly connect" suggests a collaborative, builder-oriented environment.

## Sources
1. [dexmate.ai](https://www.dexmate.ai/)
2. [jobs.ashbyhq.com/dexmate](https://jobs.ashbyhq.com/dexmate)
3. [builtin.com/company/dexmate](https://builtin.com/company/dexmate)
4. [craft.co/dexmate](https://craft.co/dexmate)
5. [linkedin.com/company/dexmate](https://www.linkedin.com/company/dexmate)

## Other roles at Dexmate

- [Robotics Data Collection Operator](https://feeny.ai/job/robotics-data-collection-operator-dexmate-singapore-0tny1yh8vs8t) — Singapore
- [Head of Industrial Design](https://feeny.ai/job/head-of-industrial-design-dexmate-fremont-7mt1ekmkpsy3) — Fremont, CA
- [Solutions Engineer](https://feeny.ai/job/solutions-engineer-dexmate-fremont-k6p0vss10pn5) — Fremont, CA
- [Lab Operations Specialist](https://feeny.ai/job/lab-operations-specialist-dexmate-fremont-d2xzhhgzxe8n) — Fremont, CA
- [Technical Program Manager, Software Platform](https://feeny.ai/job/technical-program-manager-software-platform-dexmate-fremont-kzwa1qa2q9n7) — Fremont, CA
- [Robotics Data Collection Operator](https://feeny.ai/job/robotics-data-collection-operator-dexmate-fremont-9gmkq9s3b2ff) — Fremont, CA
- [Senior Software Engineer, Fleet & Edge](https://feeny.ai/job/senior-software-engineer-fleet-edge-dexmate-fremont-k1465hhkp6m6) — Fremont, CA
- [Software Quality & Release Engineering](https://feeny.ai/job/software-quality-release-engineering-dexmate-fremont-1ymrt60ard3x) — Fremont, CA
- [Senior Software Engineer, Data & Model](https://feeny.ai/job/senior-software-engineer-data-model-dexmate-fremont-hjwkncghj73s) — Fremont, CA
- [People Operations & Recruiting Partner](https://feeny.ai/job/people-operations-recruiting-partner-dexmate-fremont-9fyeqzr38j4b) — Fremont, CA