Research Partnerships Lead

Menlo • San Francisco, CA

4d • Remote

About The Position

Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Their mission is to make humanoid labor economically viable, turning software into physical labor at scale. They build across the full stack: hardware architecture, locomotion, autonomy, simulation, and infrastructure. The role is a founding go-to-market position for Asimov in the US research market. The individual will establish Asimov inside leading US university labs, AI research organizations, and corporate R&D groups, owning a regional territory end to end: first technical conversation, demonstration, purchase, deployment handoff, and expansion. It is not a conventional account-executive role, and not a conventional developer-relations role. The individual should be able to discuss a researcher's work at a technical level, translate that work into robot hardware, software, data, AI model, and support requirements, then lead the institution through evaluation and procurement.

Requirements

• Demonstrated experience producing paid commercial adoption inside AI labs, robotics labs, corporate AI research groups, or closely comparable technical R&D organizations.
• Technical fluency to discuss: ROS 2, Linux, Python, networking, and robot software integration
• Technical fluency to discuss: perception, control, manipulation, locomotion, and sensor interfaces
• Technical fluency to discuss: VLMs, VLAs, world models, imitation learning, reinforcement learning, and policy deployment
• Technical fluency to discuss: teleoperation, demonstration collection, robotics datasets, simulation, and sim-to-real workflows
• Technical fluency to discuss: on-robot or edge inference, latency, compute constraints, and hardware/software tradeoffs
• Comfort working hands-on with physical robots: setting up demonstrations, diagnosing ordinary problems, and escalating deeper engineering issues with useful technical context.
• Ability and willingness to travel frequently within your assigned US territory.
• Technical public-presentation experience.

Nice To Haves

• Prior engineering or research work in robotics, machine learning, embodied AI, autonomous systems, computer vision, controls, or a related domain.
• Existing relationships with university robotics labs, AI labs, corporate research teams, or physical-AI startups.
• Experience selling into the robotics ecosystem: hardware, research infrastructure, AI compute, simulation, data platforms, developer tools, or other products used by technical research organizations.
• Contributions to open-source robotics or ML projects, technical talks, publications, workshops, tutorials, or other evidence of research-community credibility.

Responsibilities

• Build and own a territory of university AI and robotics labs, corporate research organizations, and physical-AI startups.
• Develop direct relationships with lab directors, principal investigators, research scientists, AI engineers, data teams, and corporate R&D leaders.
• Run technical discovery around each customer's research objectives, existing robotics and ML stack, data requirements, model-development workflow, training/fine-tuning/sim environment, support needs, and decision process.
• Determine whether Asimov is the right platform, and recommend the right robot configuration, accessories, software interfaces, data-collection tools, services, and initial deployment.
• Transport, set up, operate, and demonstrate Asimov at customer labs, conferences, workshops, campus roadshows, and private events.
• Convert successful initial deployments into larger lab, department, corporate R&D, and multi-site purchases.
• Bring requirements and competitive feedback back into Menlo's product, engineering, manufacturing, support, and docs teams.
• Represent Menlo credibly across the physical-AI, embodied-AI, robotics, and academic-research communities and conferences.

Benefits

• Freedom to build the territory the way it should be built.
• Shaping how the next generation of labs and R&D teams adopt an open, modular humanoid platform.
• Being the technical face of a physical-AI company inside the rooms where the research actually happens.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed