Menlo Research

Product Manager, Platform

San Francisco

Sponsorship not specifiedDetected 35 days ago

Full-Stack DevelopmentAPI DevelopmentMachine LearningData EngineeringProduct ManagementProduct StrategyAgileCRMSalesERPRoboticsResearchCommunication

About the role

The customers are researchers and engineers, the product is deep infrastructure, and the stakes are whether robots actually work.

Own the product roadmap across Menlo Platform and related software infrastructure, working with engineering leads to define priorities, sequencing, and success criteria.
Partner with autonomy, locomotion, and simulation teams to understand their tooling requirements and translate those into platform product decisions.
Define and track developer experience metrics for internal teams building on top of Menlo Platform, and drive improvements based on usage and feedback.
Work with research engineers and infrastructure teams to scope, prioritise, and deliver software capabilities that enable faster iteration on robot behaviour.
Build the product documentation, release processes, and internal communication structures needed as the platform matures and the team grows.
Hands-on familiarity with AI agent frameworks and the product considerations that come with building or deploying agentic workflows in production environments.
Ability to engage credibly with engineers on systems design tradeoffs, API design, and infrastructure architecture without needing to code yourself.
Strong analytical instincts and comfort using data to validate product decisions and define what done looks like.

Experience working at an early-stage company or within a startup-scale team where process is lightweight and ownership is broad.
Clear written and verbal communication, and the ability to translate between research requirements, engineering constraints, and business priorities.

Experience with robotics software stacks, ROS-based architectures, or real-time control systems.
Familiarity with open-source product development and release workflows.
Prior exposure to ERP or CRM platforms and the enterprise sales and implementation cycles that surround them.
The team is small, the problems are novel, and the surface area is enormous.
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.

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.
Engage with external partners and customers deploying on Menlo Platform to gather requirements and validate product direction.

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