VP Robotics

Meta; Menlo Park (CA); On-site; USD 486,000 - 527,000; Full time

Job summary

Meta seeks a senior leader to head Meta Robotics Studio, owning the delivery of robotics products from architecture through manufacturing and launch. You will guide a broad organization across hardware, embodied AI and software, ensuring quality, cost and on-schedule milestones.

You will recruit, mentor and manage engineering directors and managers at multiple sites, aligning cross-functional teams with regulatory, safety and product standards to ship complex autonomous systems.

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 shipping physical hardware products to customers at volume.
• Experience owning a multi-year hardware and software program through to launch.
• Experience leading hardware productization with supply chain and manufacturing.
• Experience integrating advanced software or AI into shipping products.
• Experience initiating projects with minimal guidance.
• Experience leveraging data to make business decisions.

Responsibilities

• Own the robotics product roadmap and delivery plan with milestones, schedule and shipped outcomes.
• Drive end-to-end products through architecture, industrial design, prototyping, validation, ramp and launch.
• Own hardware productization — manufacturability, quality, reliability, yield and cost in partnership with Supply Chain and Manufacturing.
• Make and defend product decisions on form factor, platform architecture and release scope.
• Establish operating cadence, program management discipline and execution bar for complex hardware/software shipping.
• Direct investment toward embodied AI, ML and systems aligned to milestones.
• Build and manage engineering leaders across multiple sites.
• Provide technical and organizational leadership.
• Form cross-functional partnerships across MSL, TBD, Reality Labs Research, Product, Design, Safety, Supply Chain, Manufacturing, Legal and Policy.
• Set strategies and execute to ship high-quality products.

Skills

Robotics product management

Leadership

Strategy

Cross-functional leadership

Education

Advanced degree in Robotics/Engineering/CS/ML

Job description

You will lead Meta Robotics Studio and own the delivery of Meta's robotics products — 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.

VP Robotics Responsibilities:

• Own the robotics product roadmap and delivery plan — the milestones, the schedule, and the shipped outcome — 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 — manufacturability, quality, reliability, yield, and cost of goods — 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 — 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.

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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$486,000/year to $527,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.