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 you will report to the Group Product Manager.

You will:

• Play a critical role in making Waymo's AV maps as useful as possible by creating software, processes, and metrics for our fleet to navigate and respond to dynamic real-world disruptions (e.g., road closures, construction, weather risks, special events)
• Develop automated pipelines and operational tooling to scalably ingest and arbitrate vehicle observations and third-party data (including contributions from local authorities and data aggregators). You’ll have to manage tradeoffs like the credibility of data provenance against the freshness of newer, less validated data
• Partner with teams to understand the impact—positive and negative—of map changes, ensuring we reliably manage disruptions while maintaining high service quality and rider satisfaction
• Manage a geospatial database of information that improves the Waymo Drivers' understanding of the world around it
• Work with scaled organizations to develop the processes, metrics, and training necessary to execute your product vision

You have:

• Deep technical acumen of complex, multi-model systems that all need to work together towards common goals
• Track record of excellent stakeholder management to bring disparate parts of an organization together to a common consensus
• "Infrastructure sense", if not actual experience working on critical infrastructure
• Amazing attention to detail. This isn't just a "table stakes" skillset that candidates should gloss over—the issues this Product Manager will work with require deep thinking and consideration of complex physical spaces

We prefer:

• ML experience; particularly understanding the management of model precision/recall gaps and developing processes to improve on them 
• Experience with geospatial datasets, including integrating third-party traffic & weather data or handling real-time routing optimization
• AV experience nice but not required 
• Experience with databases that retain the concept of data provenance and use it in downstream logic