Senior Product Manager, Waymo

• Bachelor’s degree in a technical or engineering field, or equivalent practical experience
• 5+ years experience working on AV, Robotics, or products that utilize Machine Learning or AI
• Experience in analytical roles or AI / ML roles, interacting with data scientists, and a solid statistics foundation
• Experience working with regulators and data compliance
• A deep understanding of driving, vehicles and rules of the road
• Ability to think about long-term product vision, and then decompose that into concrete, actionable plans with cross-org alignment
• Based in SF/MTV

Desirable

• Waymo's Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market
• Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo's technology and the products it enables forward
• We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future
• This role follows a hybrid work schedule and reports to a Director of Product
• Set the roadmap for evaluating the Waymo driver in new regions, with new vehicle platforms and new countries. Understand the different expectations from driver performance, regulatory and road conditions, and ensure Waymo’s expansion is safe and successful
• Understand our users -- there are many different ways we leverage simulation and on-road data to make decisions at Waymo: improve models that drive the car, assess our performance in a new environment or validate the readiness of a new vehicle platform. Each of these decisions requires a commitment to safety
• Work with a team of world class data scientists, engineers, machine learning practitioners to evaluate the safety and quality of our driving behavior in a data-driven way
• Land features throughout simulation (such as synthetic data generation, sensor simulation and simulated agents) to increase signal and improve our ability to learn from simulation
• Work closely with Onboard developers who use our products to assess large model launches, to build sim & eval products that increase the quality and speed of launches