Product Manager

Noble Machines builds general-purpose robots that take on the most dangerous and physically demanding jobs in heavy industry, so that doing that work becomes a choice, not a necessity. Our robots work in construction, mining and energy, where dust, heat, uneven ground and the unexpected are normal conditions, not edge cases.

We were founded in 2024 by engineers from Apple, SpaceX, NASA and Caltech. We came out of stealth in March 2026, after shipping robots to a Fortune Global 500 customer within 18 months of starting. We're a Series A team in Sunnyvale, and we're building the next generation of Moby, our general-purpose robot, now.

You'll be the product lead for what Moby can do and how it gets deployed. On one side, you'll work with our AI, software and hardware engineers to decide which skills and capabilities we build next, and how we test and validate them. On the other, you'll work with customers and our field team to make sure a robot arrives on a jobsite, gets set up quickly and does real work from week one.

This is a hands-on role on a small team. You'll set the roadmap and write the specs. You'll spend time on customer sites watching how work actually gets done, and bring what you learn back into requirements engineers can build against. You'll report to our CEO and work daily with engineering, field operations and the commercial team.

This role is a fit if you like being the person who connects a robot's lab performance to what happens on a muddy site at 6 a.m.

• Own the roadmap for robot capabilities and deployment tooling, from scoping and sequencing through release, and hold the sequence when priorities conflict.
• Turn field reality into requirements. Visit customer sites, observe operators and supervisors, and translate site conditions and edge cases into clear requirements and measurable performance targets (for example, task success rate, cycle time, payload and terrain limits).
• Write specs engineers build against without back-and-forth
  : product requirements, acceptance criteria and validation plans for new skills, autonomy features and operator interfaces.
• Work across AI, software and hardware. Make trade-offs between what the robot learns, what the hardware can support and what the customer needs on site.
• Build the deployment path. Define how a customer evaluates, pilots and rolls out a robot, from site assessment and setup through acceptance testing and handoff, and the internal tools that make it repeatable.
• Partner with field operations on onboarding, operator training and site documentation, so adoption doesn't depend on any one person.
• Define and track success metrics such as task success rate, interventions per hour, uptime, MTBF/MTTR and time from arrival to productive work, and use them to set priorities.
• Represent the product with customers and prospects during evaluations, and feed what you hear back into the roadmap.

• A written roadmap that engineering and leadership agree on, with sequenced milestones and explicit dependencies.
• Engineering teams building and releasing against your specs, with agreed validation criteria for each release.
• A field requirements guide that captures real site conditions, constraints and the edge cases that matter most.
• At least one customer pilot or site deployment run on the onboarding and acceptance process you defined.
• A small set of core metrics (task success, interventions, uptime, time-to-deploy) measured regularly and driving roadmap decisions.

• 5+ years in product management, or a mix of product and engineering, with direct ownership of a technical hardware/software product.
• Enough technical depth to hold your own with robotics,…