Senior Product Manager, Mapping

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.

You will:

• Maintain a short, medium, and long-term vision and defensible roadmap for the most critical mapping initiatives to drive Waymo’s path to scale
• Work closely with a team of ML/AI engineers to improve the speed and efficiency of our automated mapping building and maintenance operations
• Develop and hone processes to marry our software to human processes for quality control, labeling, and exceptions management
• Work with onboard Product Managers, Engineers, and Systems Engineers to ensure that the evolution of our maps’ contents are aligned with our Driver capabilities
• Coordinate the launch and rollout of automated models and mapping software 

You have:

• 5+ years of experience as a PM, or 3+ years of PM and 2+ as a SWE in a relevant field.
• Experience managing quality/delivery of a critical database utilized by numerous consumers/subscribers
• Experience  in some kind of mission-critical capacity (i.e. impacting critical revenue, safety, or brand-safety metrics)
• Responsible for delivery of constantly delivered outputs on a set schedule with SLAs for internal and/or external customers, and with the expectation of continuous and significant improvement on those metrics
• Exceptional stakeholder management skills, gathering requirements from disparate technical and/or product areas

We prefer:

• Experience working in mapping or geospatial projects (AR/VR, visual/geospatial AI)
• Experience working with scaled people operations (large teams of vendors/contractors/teams). Labeling for AI/ML applications is sufficient if accompanied by deep AI/ML experience.
• Experience working with technical / complex workflows involving complex/subjective policies
• Skillsets in querying/analyzing data from large datasets and interpreting and visualizing results
• Capable of making tradeoffs between system/team quality (e.g. precision/recall) and system/team efficiency (e.g. compute/latency)