Director of Product Strategy, Physical AI

Key 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

Required Qualifications

• 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, including 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, with 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

Nice to Haves

• MS or PhD is a plus, though strong practical experience is equally valued
• Publication Record: First-author publications at top-tier AI/ML conferences (NeurIPS, CVPR, ICRA, CoRL)

Compensation & Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in the location of San Francisco is: $273,600—$342,000 USD. Scale employees in eligible roles are also granted equity based compensation. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.