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Salary
≈ $79k – $141k per year (Estimated)
Location
Hybrid (Palo Alto, United States)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 7, 2026.

Overview
Company
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Menlo Research is an applied AI research lab and robotics software startup headquartered in Singapore with operations globally. Founded in 2023, the company builds open-source AI infrastructure, modular operating software (Asimov OS), and world modeling systems that function as the "brain" for next-generation humanoid and mobile robots. Through an open-innovation approach and shared API architecture, Menlo enables developers and OEMs to train, deploy, and monetize composable robotic skills and multimodal perception models across diverse hardware platforms.

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

We are looking for an Enterprise Deployments Lead to own Menlo's enterprise customer engagements, from first discovery through a working robotics deployment and the follow-on purchase that comes after it. Every engagement you run has a committed buyer, a clear definition of success, and an implementation plan that keeps moving. This is a hands-on role combining commercial qualification, customer relationship management, and technical project leadership. You own the customer engagement and delivery plan; engineering owns technical feasibility, design, and implementation, and you make commitments and deliver against them together.

What You'll Do

  • Qualify opportunities by understanding customer workflows and business needs, and identifying the champion, budget owner, operational stakeholders, and purchasing process

  • Define scope and success with customers and engineering: feasible deliverables, measurable acceptance criteria, budgets, timelines, responsibilities, and exclusions

  • Lead implementation across Menlo's engineering and implementation teams, partners, and customer teams

  • Set owners and milestones, track progress, resolve blockers, manage scope changes, and escalate risks early

  • Demonstrate results against agreed criteria and secure customer sign-off

  • Turn successful deployments into production purchases and broader adoption

  • Bring field learnings back to product and engineering so every next deployment is faster to scope and deliver

What We Look For

  • Experience leading complex, customer-facing technical projects in robotics or an adjacent field

  • Ability to navigate customer organizations and get to the real buyer, budget, and decision process

  • Technical fluency to discuss tradeoffs credibly with engineers; hands-on robotics development is not required

  • Commercial judgment to build credible business cases and qualify out projects that are not funded or feasible

  • Comfort holding cross-functional teams accountable to scope, milestones, and budget

  • A track record of well-qualified, funded projects delivered within scope and converted into production or follow-on purchases

Nice to Have

  • Experience deploying robots, automation, or physical systems in live environments such as warehouses, factories, or logistics

  • Background in solutions engineering, technical account management, or professional services at a hardware or deep tech company

  • Familiarity with pilot-to-production commercial models and milestone-based acceptance

  • Experience running joint deployments with system integrators or channel partners

Why Join Menlo

You will be the person who takes humanoid robots out of the lab and into real customer operations. Every deployment you land proves the economics of humanoid labor and shapes what Menlo builds next. If you want to be measured on robots doing real work rather than slideware, this is the place.

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.

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