VP Robotics at Meta in Menlo Park, CA

{"title": "VP Robotics ", "description": "{\"__html\":\"\\u003Cspan>You will lead Meta Robotics Studio and own the delivery of Meta's robotics products \\u2014 from architecture and industrial design through development, manufacturing, and launch. You will be accountable for the roadmap, the milestones, and the shipped result: robots\\/ humanoids in the hands of real people, at quality, at cost, and on schedule. You will lead an organization spanning hardware engineering, embodied AI and machine learning, systems software, manufacturing, and operations, and you will build the execution muscle that turns deep technical capability into products people use every day.\\u003C\\/span>\"}", "minimum_qualifications": ["15+ years of technical industry experience", "10+ years of management experience", "Experience as VP or C-level of an engineering organization at a company operating at scale", "Experience managing and scaling organizations", "Experience shipping physical hardware products to customers at volume, with ownership of the outcome", "Experience owning a multi-year hardware and software program through to launch, including schedule, quality, and cost commitments", "Experience leading hardware productization in partnership with supply chain, manufacturing, and contract manufacturers", "Experience integrating advanced software or AI capabilities into shipping consumer or commercial products", "Experience initiating and driving projects to completion with minimal guidance", "Experience analyzing, interpreting, and leveraging data to make business decisions"], "preferred_qualifications": ["Experience managing robotics and engineering products at scale", "Experience bringing a new hardware product category from concept to high-volume production", "Experience with new product introduction, design and production validation, manufacturing ramp, and supplier qualification", "Experience owning cost of goods, bill of materials, and margin structure for a hardware product line", "Experience with consumer product safety, regulatory certification, and reliability qualification for physical autonomous systems", "Working familiarity with modern robot learning and how it translates into product capability: reinforcement learning, imitation learning, sim-to-real transfer, and manipulation", "Experience retaining senior engineering and AI talent through organizational or leadership change", "Advanced degree in Robotics, Engineering, Computer Science, Machine Learning, or a related field"], "responsibilities": ["Own the robotics product roadmap and delivery plan \u2014 the milestones, the schedule, and the shipped outcome \u2014 and hold the organization accountable to it.", "Drive products end to end through the full development lifecycle: architecture, industrial design, prototyping, design validation, production validation, ramp, and launch.", "Own hardware productization at scale \u2014 manufacturability, quality, reliability, yield, and cost of goods \u2014 in partnership with Supply Chain and Manufacturing.", "Make and defend the consequential product decisions: form factor, platform architecture, build-versus-buy, and what ships in which release.", "Establish the operating cadence, program management discipline, and execution bar required to ship complex hardware and software on a predictable schedule.", "Direct applied technical investment toward shipping outcomes \u2014 ensuring embodied AI, machine learning, and systems work is sequenced against product milestones.", "Build, manage and support diverse teams of engineering directors and managers across multiple sites.", "Provide both technical and organizational leadership.", "Form cross-functional and cross-discipline partnerships across MSL, TBD, Reality Labs Research, Product, Design, Safety, Supply Chain, Manufacturing, Legal, and Policy.,.", "Establish effective strategies and execute against them.", "Own the product-quality, safety, and reliability standard for physical robotic systems, including regulatory and certification requirements for consumer deployment.", "Foster an environment of respect, integrity, inclusion, and innovation.", "Recruit and retain top talent across hardware, software, AI, and manufacturing disciplines."], "locations": ["Redmond, WA", "Menlo Park, CA"], "departments": ["AI Research", "Generative AI", "Software Engineering"], "public_compensation": [{"error_apology_note": "", "has_bonus": true, "has_equity": true, "compensation_amount_minimum": "$486,000/year", "compensation_amount_maximum": "$527,000/year"}]}