Menlo
More roles at MenloFounding Research Partnerships Lead
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Palo Alto
Employer listed it 8 weeks ago · Added 5 weeks ago
Been open since 8 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Palo Alto
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Sales
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Palo Alto, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Palo Alto, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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 This is a founding go-to-market role for Asimov in the US research market. You 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. You 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.
What You'll Do
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.
What We Look For
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
perception, control, manipulation, locomotion, and sensor interfaces
VLMs, VLAs, world models, imitation learning, reinforcement learning, and policy deployment
teleoperation, demonstration collection, robotics datasets, simulation, and sim-to-real workflows
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 Have
Prior engineering or research work in robotics, machine learning, embodied AI, autonomous systems, computer vision, controls, or a related domain.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Menlo, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to the employer's careers page.