About the Role
The Director of Product Strategy, Physical AI will define the long-term strategy and business positioning of frontier data products. This senior leadership role involves owning and directing product development and commercialization, collaborating with Operations, Engineering, and GTM, and partnering with Researchers and ML Engineers to guide product direction and solve complex business challenges. The role requires creative, data-driven, and market-informed value delivery from concept to execution, and supporting customer business needs by understanding their research goals, technical challenges, and innovation plans. This role demands significant ownership in a fast-paced environment and requires motivating internal teams to drive business growth.
Responsibilities
- Develop and execute long-term product portfolio strategy; work directly with internal leadership to drive prioritization through data and market insights
- Identify new growth opportunities and market trends; develop business case for product investments and research
- Partner with Researchers and ML Engineers from prospective and existing customers; build credibility to effectively communicate the value of Scale offerings and influence successful business outcomes
- Conduct competitive intelligence and customer research
- Partner closely with GTM and Operations to drive cross-functional strategic initiatives
- Thrive in a multi-tasking environment with the ability to adjust priorities quickly
- Consistently share knowledge of industry trends and solutions
- Act as a hands-on leader and dedicated coach who isn't afraid to get into the weeds, challenge existing norms, and address difficult conversations directly to elevate team performance
Requirements
- Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
- 8+ years of Enterprise Product Management, Business Operations, Strategy, or related roles in fast-paced environments
- 4+ years direct people management with a demonstrated history of recruiting, mentoring, and developing high-performing Product Managers
- Experience leading product strategy for complex hardware-software systems
- Deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred
- Strong analytical skills, and a data-driven, commercially-minded approach to developing product strategies and solving problems to scale from 0 to $100M+ in ARR
- Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels, including VP and above, researchers, and customers
- Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail
Skills
- Robotics
- Autonomous Vehicles
- Computer Vision
- Machine Learning
Location
- San Francisco, California
Work Type
- Full-time
- Domestic and International travel expected (up to 30%)
Experience Level
- 8+ years of Enterprise Product Management, Business Operations, Strategy, or related roles
- 4+ years direct people management
Education Level
- Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
- MS or PhD is a plus
- First-author publications at top-tier AI/ML conferences (NeurIPS, CVPR, ICRA, CoRL)
Salary/Compensations
- $273,600—$342,000 USD
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- A learning and development stipend
- Generous PTO
- Commuter stipend (potential)
About the Company
- 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.
