Senior Product Manager – Mapping
| Company | Waymo |
|---|---|
| Location | San Francisco, CA, USA, Remote in USA, Mountain View, CA, USA |
| Salary | $238000 – $302000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 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.
Responsibilities
- 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.
Preferred Qualifications
- 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)