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
Menlo is looking for a Product Manager, Platform to own the product direction across Menlo Platform and its adjacent systems including Uranus, Tokamak, and Perceptron. You will work directly with the engineering leads building the orchestration, telemetry, simulation, and training infrastructure that powers Asimov in the real world. This is not a typical software PM role. The customers are researchers and engineers, the product is deep infrastructure, and the stakes are whether robots actually work. You will define what good looks like for our internal and external developer experience, and drive the roadmap that gets us there.
What You Will Do
- 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.
- Engage with external partners and customers deploying on Menlo Platform to gather requirements and validate product direction.
- Identify and resolve cross-functional dependencies between software, hardware, and operations as Asimov moves from development to deployment at scale.
What You Will Bring
- 5 or more years of product management experience, with demonstrated depth in developer tooling, infrastructure, or platform products.
- Track record of owning and shipping software products that serve technical users, whether internal engineering teams, researchers, or external developers.
- Fluency in enterprise SaaS architecture as a system: databases and structured data layers (Airtable, relational databases), wikis and knowledge management, Kanban and business process workflows, event-driven and scheduled automation (n8n, Zapier, or equivalent BPM tooling), and access control models including RBAC. You understand how these components connect and where they break.
- 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.
Nice to Have
- Experience with robotics software stacks, ROS-based architectures, or real-time control systems.
- Background building simulation tools, data pipelines, or training infrastructure for machine learning or autonomy applications.
- 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.
Why Join Menlo
You will own the product direction for the software that makes humanoid robots work. The team is small, the problems are novel, and the surface area is enormous. If you thrive in ambiguous environments, enjoy working close to engineering, and want to build platform infrastructure for a hardware category that does not yet exist at scale, this is the right place.
