Menlo Inc. Logo

Menlo Inc.

Product Manager, Hardware

Posted 2 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
Senior level
Hybrid
San Francisco, CA, USA
Senior level
Define and own the hardware roadmap for an open-source humanoid robot. Translate deployment and field learnings into hardware specs, drive development through DVT to production, coordinate supply chain and manufacturing, define quality metrics, and build scalable PM processes.
The summary above was generated by AI

About Menlo

Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Our mission is to make humanoid labor economically viable -- turning software into physical labor at scale. We build across the full stack: hardware architecture, locomotion, autonomy, simulation, and infrastructure. We move fast, ship to real robots, and open-source everything we can. If you want your work to matter beyond a paper or a demo, this is the place.

 

The Role

You will sit at the intersection of mechanical, electrical, and systems engineering teams, translating real-world deployment requirements into a hardware roadmap that ships. This is a hands-on, ground-floor role at a lab building one of the most technically ambitious robotics platforms in the world. You will be one of the first dedicated PMs on the team, which means you will have significant influence over how we build the function.

What You Will Do

  • Define and own the hardware product roadmap for Asimov, covering mechanical structures, actuators, sensors, and power systems, and maintain a clear prioritisation of what ships next and why.

  • Work directly with mechanical, electrical, and systems integration engineers to translate deployment requirements and field learnings into actionable hardware specifications.

  • Partner with the locomotion and simulation teams to understand performance constraints, and feed those back into hardware design decisions.

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

  • Coordinate with supply chain, procurement, and manufacturing on BOM decisions, lead times, and cost targets as the platform scales.

  • Define and track hardware quality metrics, working with field and operations teams to close the loop between deployment performance and design iteration.

  • Build the processes and documentation needed to scale hardware PM work across a growing team.

What You Will Bring

  • 5 or more years of product management experience, with a meaningful portion of that time on hardware or electromechanical products.

  • Direct experience driving a hardware product through at least one full development cycle, from requirements through manufacturing.

  • Fluency in reading mechanical and electrical documentation, enough to challenge tradeoffs in design reviews without needing a translator.

  • Working knowledge of supply chain fundamentals as they apply to hardware products: BOM management, vendor qualification, lead time planning, cost modelling, and the tradeoffs between off-the-shelf and custom components. You understand how supply chain decisions constrain and shape hardware design, not just fulfillment.

  • Strong instincts for managing scope and complexity under schedule pressure, with a track record of shipping at an early-stage company or equivalent fast-moving environment.

  • Ability to work across engineering, operations, and commercial functions and synthesise competing inputs into clear product decisions.

  • Comfort with ambiguity and an orientation toward first principles thinking rather than process for its own sake.

Nice to Have

  • Experience with humanoid or legged robots, or other high-complexity mechatronic systems.

  • Background in robotics hardware, servo actuators, or precision motion systems.

  • Exposure to sim-to-real development workflows and the hardware constraints they surface.

  • Experience scaling hardware from prototype to low-volume production.

Why Join Menlo

You will own consequential decisions on hardware that moves in the real world. We are a small, technical team that ships, debates ideas openly, and holds a high bar for craft. If you want to be the PM who helps define what a world-class humanoid hardware platform looks like, this is the role.

A Note on AI

You don't need deep AI expertise for every role, but we do expect everyone at Menlo to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement. When that's the case, we'll say so explicitly in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, and make their work easier for others to build on.

Equal Opportunity and Accommodations

We hire talented people from a wide range of backgrounds. If you're excited about a role but don't meet every bullet, we still encourage you to apply. Menlo Research is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Menlo provides reasonable accommodations during the application process. If you need one, please let your recruiter know.

Similar Jobs

6 Days Ago
Remote or Hybrid
San Francisco, CA, USA
338K-438K Annually
Senior level
338K-438K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Infrastructure as a Service (IaaS)
Own Lambda's GPU hardware product roadmap: select GPU platforms and node/cluster configurations, align partner silicon roadmaps, translate customer demand and benchmarks into fleet investment decisions, and partner across data center, supply chain, and engineering to launch, measure, and iterate hardware offerings.
Top Skills: B200Cloud InfrastructureDistributed Training InfrastructureGpu ArchitecturesH200HpcInfinibandMpiNcclNvidia GpusOdm/Oem
6 Days Ago
Remote or Hybrid
San Francisco, CA, USA
338K-438K Annually
Senior level
338K-438K Annually
Senior level
Software
Own the GPU hardware product roadmap and fleet lifecycle. Lead NVIDIA platform introductions, define node and cluster configurations, align partner roadmaps, translate customer demand and benchmarks into investment recommendations, and partner with data center, supply chain, and engineering teams to launch, measure, and iterate on hardware offerings.
Top Skills: Distributed Training InfrastructureGpu AcceleratorsH200)InfinibandMpiNccl (Nvidia Collective Communications Library)Nvidia Gpus (B200
7 Days Ago
In-Office
Redwood City, CA, USA
Mid level
Mid level
Robotics
Own hardware product strategy for next-generation robots: define requirements for mobility, sensing, and end-effectors; translate field learnings into specs; drive delivery through DVT to production; prioritize reliability, serviceability, and tradeoffs across cost, capability, and timeline while aligning cross-functional teams.
Top Skills: ActuationAi/MlDepth SensingDesign Verification Testing (Dvt)End-EffectorsMobile PlatformsRoboticsSensors

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account