Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Staff Product Manager, Physical AI Data & Robotics role.
Rezi rewrites your resume against Scale AI's job description. Free.
Tailor your resume to this Staff Product Manager, Physical AI Data & Robotics role.
Rezi rewrites your resume against Scale AI's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Product Manager, Physical AI Data & Robotics posting at Scale AI — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Staff Product Manager, Physical AI Data & Robotics posting at Scale AI — free, in seconds.
About the Role
Scale is seeking an AI Product Manager to lead the Robotics vertical within the Physical AI team. This role involves owning the development of data and training environments, including teleoperated demonstrations, real-world collections, simulated tasks, and annotation products. You will also define the 'data as a product' strategy, understand the future of physical AI, and translate domain knowledge into a defensible product.
Responsibilities
- Own the Robotics AI roadmap & data strategy, setting product direction for the robotics training stack and data strategy.
- Establish a vision for physical AI and drive execution across engineering, operations, and go-to-market teams.
- Build partnerships with research teams at frontier labs to understand robot policy shortcomings and shape new product lines.
- Connect with robotics startups and industry leaders to launch joint benchmarks and build Scale's brand in physical AI.
- Design and scale robotics data products and environments, including collection pipelines, annotation tooling, simulated tasks, and evaluation frameworks.
- Partner with ML and Operations to translate research needs into training products that meet quality, throughput, and cost targets.
- Collaborate cross-functionally to influence business priorities and deliver mission-critical outcomes.
- Travel ~10–15% to meet customers, attend conferences, and visit global data operations.
Requirements
- 4+ years of direct experience in robotics or physical AI in one or more of: robot learning or manipulation research, teleoperation and data collection systems, robotics software or hardware engineering, or a robotics product role, with real depth in how the work gets done.
- Physical AI Fluency: Immersed in current physical AI research — robot policies, vision-language-action models, language-conditioned imitation learning — and able to articulate how the field is moving.
- A builder's mindset: excited by ambiguity and motivated to create new products from the ground up.
- Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders.
- ML Intuition & Technical Fluency: Enough intuition around how model training and evaluation works, and what makes a dataset or environment actually useful for training.
- Operational rigor: Comfort going deep with Ops on quality and throughput, and reasoning about unit economics across hardware, labor, and annotation cost.
- Bias for action: Comfort wearing multiple hats and operating in fast-moving environments.
- A degree in Robotics or a related quantitative field (Computer Science, Mechanical Engineering, Electrical Engineering, etc.).
- Ph.D. in Robotics or a related quantitative field, OR a Master's degree with 3+ years of equivalent professional experience in an applied research setting.
Skills
- Robotics
- Physical AI
- AI Product Management
- Data Strategy
- Roadmap Development
- Partnership Building
- Product Development
- Machine Learning
- Operations Management
- Customer Engagement
- Go-to-Market Strategy
- Entrepreneurial Mindset
Location
- San Francisco
Work Type
- Full-time
Experience Level
- 4+ years
Education Level
- Degree in Robotics or a related quantitative field (Computer Science, Mechanical Engineering, Electrical Engineering, etc.)
- Ph.D. in Robotics or a related quantitative field
- Master's degree with 3+ years of equivalent professional experience in an applied research setting
Salary/Compensations
- $240,000—$300,000 USD
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
About the Company
- Scale has been the leading AI data foundry, helping fuel advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles.
- Our mission is to develop reliable AI systems for the world's most important decisions.
- At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
- Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
- We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
- We are expanding our team to accelerate the development of AI applications.
Equal Opportunity
- We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
- We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
- We comply with the United States Department of Labor's Pay Transparency provision.