Motional
Director of Product Management
$212K–$292K
Pittsburgh, Pennsylvania, United States · Director · Full-time · Posted Oct 1, 2026
- Experience
- 10+ years relevant Product Management experience, including a minimum of 5+ years leading product teams within Autonomous Vehicles, Ride-Hail, robotics, or complex AI/ML industries.
- Education
- Bachelor's degree in Business, Engineering, Computer Science, or equivalent field, or commensurate professional experience.
About the job
Leads Motional’s product organization and unified product strategy for its robotaxi service, spanning rider experience, autonomous systems, operations, and commercial partnerships.
What you'll do
- Build and lead a product management team; unify product roadmaps and set the product vision across the rider journey and technical stack.
- Establish data-driven prioritization and performance measures, and oversee strategy for autonomy tools, data pipelines, and hardware-software integration.
- Coordinate product execution across technical and commercial teams, including partner integrations, launch planning, and executive reviews.
What they ask for
- Bachelor's degree in Business, Engineering, Computer Science, or equivalent field, or commensurate professional experience.
- 10+ years of relevant Product Management experience, including at least 5+ years leading product teams within Autonomous Vehicles, Ride-Hail, robotics, or complex AI/ML industries.
- Foundational understanding of the ML development lifecycle, data curation, and autonomous systems.
- Proven ability to lead complex cross-functional work and communicate product strategy to executives.
Nice to have
- Experience building and scaling product organizations at a leading Level 4 autonomous vehicle or advanced robotics company.
- Experience coordinating the commercial launch and scaling of a complex physical-world product in a new market.
Pay
$212,000 — $291,500 USD (base salary)
Tools
ML, AI/ML, autonomous systems, data pipelines, Operational Design Domain (ODD)
AI focus
Leads product strategy for autonomous systems, autonomy tools, and data pipelines, applying knowledge of the ML development lifecycle, data curation, and algorithmic requirements.
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