Product Manager (Mapping, Real-time Disruptions)

Join Waymo's Product Management Team, a mission-driven group focused on bringing fully autonomous driving technology to market. As a 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. You will develop automated pipelines, manage a geospatial database, and work with scaled organizations to execute your product vision. This role follows a hybrid work schedule and offers a comprehensive benefits package.

• 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.
• Develop automated pipelines and operational tooling to scalably ingest and arbitrate vehicle observations and third-party data, managing tradeoffs like the credibility of data provenance against the freshness of newer data.
• Partner with teams to understand the impact of map changes, ensuring we reliably manage disruptions while maintaining high service quality and rider satisfaction.
• Track record of excellent stakeholder management to bring disparate parts of an organization together to a common consensus
• Deep technical acumen of complex, multi-model systems that all need to work together towards common goals
• "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
• 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