Product Manager, Hardware

Dyna is building general-purpose robots that operate in real-world commercial environments, and the robot itself, the body, the sensors, the hands, is where our intelligence meets the physical world. As our robots take on more capable and more demanding tasks, the hardware has to evolve with them: more mobility, more degrees of freedom, richer sensing, and the reliability to run unattended at customer sites.

We're hiring a Product Manager, Hardware to own the product side of our robot platform. You'll define what the next generation of robot needs to do, translate our deployment and research learnings into clear hardware requirements, and drive the delivery of robots that are capable, reliable, and ready for the field. You won't design the hardware yourself, but you'll own the what and the why, and hold the bar on quality and reliability.

This is a hands-on role for someone who has shipped physical products, ideally robots, and wants to work at the frontier of embodied AI.

Next-Generation Requirements Define the product requirements for our next-generation robot: mobility, degrees of freedom, end-effectors, sensing (including depth and other modalities), and the capabilities the platform must support. Turn where the company is going into concrete hardware specs, working shoulder-to-shoulder with research and engineering.

Quality & Reliability Own the product bar for quality and reliability. Our robots have to run at customer sites with minimal downtime, so mean-time-between-failure, serviceability, and design validation aren't afterthoughts, they're core to the product. Define what "reliable enough to ship" means and hold the line on it.

Learnings → Requirements Translate what we learn in the field, hardware failures, sensor gaps, wear, serviceability pain, into the requirements for the next revision. Close the loop between what breaks in deployment and what we build next. Expect to spend real time on-site with robots in production, the best hardware decisions come from watching the system actually run and actually break.

Delivery Drive the robot from requirements to delivered, deployable hardware. Keep timelines, tradeoffs, and dependencies visible, and make the calls (or tee them up) that keep the platform moving. You'll be the connective tissue between hardware engineering, research, deployment, and operations.

• Own and drive the hardware product roadmap, from next-gen requirements through delivery

• Write clear, prioritized hardware requirements and specs, including functional specs, interface definitions, and verification/acceptance criteria, and keep them current as we learn

• Partner deeply with mechanical, electrical, and hardware engineering, you shape what gets built and why; they own how.

• Work closely with research to ensure the hardware supports where the models are going (mobility, sensing, dexterity)

• Work closely with deployment and operations to turn field reliability data into hardware priorities

• Own the quality and reliability bar; define ship gates and design-validation criteria with engineering

• Drive the full hardware release lifecycle from concept through DVT and production readiness, owning milestones, dependencies, and risk management.

• Make and surface tradeoffs across capability, cost, timeline, and reliability

• Keep cross-functional stakeholders aligned on hardware status, risks, and decisions

• 4+ years of product management experience, with meaningful time owning hardware or physical products end to end

• Direct experience shipping physical products, taking something from requirements through manufacturing/delivery, not just spec'ing it

• Strong technical intuition for hardware: you're comfortable engaging with mechanical and electrical engineers, and making informed tradeoffs on sensors, actuation, and reliability

• Comfort working across the hardware/software boundary, our robots are a full-stack product, and hardware decisions and model/software needs are tightly coupled

• Genuine appreciation for reliability and quality in physical systems, and the discipline to hold that bar

• Ability to translate ambiguous, forward-looking goals into concrete, buildable requirements

• Comfort operating in a fast-moving and fluid environments; high agency, hands-on, able to drive results with minimal oversight

• Background in robotics or autonomous systems

• Experience with sensors, actuation, end-effectors, or mobile platforms

• Experience deploying physical systems into real-world / customer environments and learning from field reliability data

• Familiarity with AI/ML systems and how model capabilities drive hardware requirements

• Experience working across the hardware/software boundary in a full-stack product