{"id":3517909,"url":"https://alion.io/job/menlo-research-product-manager-agent-harness-robotics","title":"Product Manager, Agent Harness (Robotics)","company":{"id":19297,"name":"Menlo Research","domain":"menlo.ai","url":"https://alion.io/company/menlo","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States","Singapore"],"countries":["US","SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":146000,"max_usd":312000,"period":"year","method":"role_country_seniority_unknown","sample_n":7079},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Devin","optional":false},{"name":"Function Calling","optional":false},{"name":"Lovable","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Physical AI","optional":false},{"name":"Imitation Learning","optional":true},{"name":"Inverse Kinematics","optional":true},{"name":"Motion Planning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Vision-Language-Action","optional":true}],"status":"live","first_seen_at":"2026-10-30T06:46:52Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-06T00:16:06Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Menlo\nMenlo 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.\nThe Role\nCoding agents changed how software gets built. We’re building the equivalent for robots. Menlo’s agent harness for robotics is an agent platform that researches engineering solutions, helps design manufacturable robots, trains them in simulation to perform physical tasks, and helps deploy them into the real world.\nAs Product Manager for the Agent Harness, you’ll own what this platform becomes. We’re looking for a deeply technical PM who has helped build Codex, Claude Code, Cursor, Devin, or a comparable coding agent, and who can rapidly carry that experience into robotics and physical AI. You’ll work directly with technical users, researchers, and engineers, prototype workflows yourself, and turn an ambitious vision into releases that actually ship.\nWhat You’ll Do\nOwn the agent harness end to end, taking it from an ambitious vision to focused releases with measurable acceptance criteria across research and engineering\n\nDefine how the agent plans, uses tools, manages context and state, executes, verifies its work, and recovers during long-running engineering and robotics tasks\n\nShape how users delegate complex physical-world work to the agent, inspect results, intervene, and recover from errors, and turn those needs into clear product behavior and a delightful developer experience\n\nWork directly with technical users to find the initial use cases where the harness creates real value, across engineering research, robot design, simulation training, and deployment\n\nDrive agent reliability through evaluations, user feedback, and telemetry, raising task completion, reducing human intervention, and managing latency and compute\n\nPrototype agent workflows, integrate tools, and investigate failures yourself through code and execution traces\n\nGet fluent in robotics fast, from VLAs and world-action models to simulation and manufacturability, working alongside our Brain, Hardware, and Platform specialists to make informed product calls\n\nWhat We Look For\nYou’ve built coding agents, having worked on Codex, Claude Code, Cursor, Devin, Lovable, or a comparable coding agent as a PM, engineer, or technical founder, with meaningful ownership of shipped capabilities\n\nYou understand agent systems deeply and can explain the design decisions and tradeoffs behind planning, tool use, context and state management, execution environments, verification, and recovery during long-running tasks\n\nYou’re hands-on: you navigate unfamiliar codebases, prototype agent workflows, integrate tools, and independently investigate failures through code and execution traces\n\nYou’ve made agents measurably more reliable, using evaluations, user feedback, and telemetry to improve task completion, reduce human intervention, and manage latency and compute\n\nYou have strong product judgment for autonomous workflows, understanding how users delegate complex work, inspect results, intervene, and recover from errors\n\nYou learn unfamiliar technical domains fast through papers, code, experiments, and collaboration with specialists, and you’re ready to build the robotics knowledge needed to make informed product decisions\n\nYou own outcomes, working directly with technical users and turning ambitious ideas into focused releases with measurable acceptance criteria\n\nNice to Have\nFamiliarity with robotics and physical AI, such as inverse kinematics, motion planning, control, reinforcement learning, imitation learning, vision-language-action models (VLAs), or world-action models (WAMs)\n\nExperience with room scanning, 3D reconstruction, scene understanding, or converting real environments into simulation assets\n\nExperience with simulation and robot learning infrastructure, including training pipelines, reproducible experiments, skill composition, and validation on physical robots\n\nFamiliarity with robot design and manufacturability, including CAD, component selection, bills of materials, assembly, sourcing, and cost constraints\n\nWhy Join Menlo\nYou’ll define what a coding agent becomes when its output is a working robot. The harness touches every part of how Asimov gets built: the research, the design, the training, and the deployment. The category doesn’t exist yet, the team ships to real hardware every week, and we build in the open. If you’ve helped build the agents that changed software and want to do it again for the physical world, come build it with us.\nA Note on AI\nYou 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.\nEqual Opportunity and Accommodations\nWe 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.","description_format":"text","description_chars":5807,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Humanoid Robots","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-10-30T11:08:49Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":60,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/menlo-research-product-manager-agent-harness-robotics","json_url":"https://alion.io/job/menlo-research-product-manager-agent-harness-robotics.json","meta":{"generated_at":"2026-11-06T04:02:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6909,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":19297},"rest":"https://alion.io/mcp/rest/get_company?id=19297"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmenlo-research-product-manager-agent-harness-robotics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmenlo-research-product-manager-agent-harness-robotics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmenlo-research-product-manager-agent-harness-robotics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/menlo-research-product-manager-agent-harness-robotics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmenlo-research-product-manager-agent-harness-robotics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3517909}},{"tool":"search_jobs","arguments":{"company":"menlo.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3517909},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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