Senior Product Manager, Autonomous Vehicle Reliability

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.

You will:

• As Waymo expands to more freeways, on more platforms, in more regions, in more weather, understanding vehicle reliability becomes critical to ensuring we have a high quality and safe product.
• You will set the roadmap for how we evaluate the reliability of the Waymo driver: measure how, when and where the hardware or software fails and what happens as a result.
• Be responsible for the onboard solutions,hardware changes, and testing strategies to minimize reliability failures, and mitigate issues in the field.
• Look to the future at new hardware platforms, new geographic launches and new ODDs, and build the systems and tools to ensure we have a reliable vehicle as we grow.

You have:

• Bachelor’s degree in a technical or engineering field, or equivalent practical experience.
• 10+ 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 at the intersection of hardware and software.
• 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.

We prefer:

• Experience with Evaluation of AVs, Large Foundational Model training / evaluation pipelines or the evaluation / experimentation platforms for large production systems (Ads, Search, Ranking, etc..).
• Experience working on system reliability of large fleets, servers, hardware deployments, data centers.
• An understanding of the hardware pieces that go into an autonomous vehicle stack, decomposition of system reliability and experience evaluating system performance,
• Master's degree in a technical or engineering field, or equivalent practical experience.