Geo Auto Data Platform PM — ADAS & Maps

Socket.dev; Seattle (WA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google is seeking a Product Manager for the Geo Auto Data Platform to guide ADAS-enabled map data across in-vehicle navigation and next-gen visualizations. You will bridge engineering and business teams, translating complex ADAS concepts into robust software and data systems.

You will work with Maps, Earth, Street View, and Google Maps Platform to enable safe, efficient, and scalable automotive solutions, shaping data foundations for autonomous driving capabilities.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 8 years of product management or related technical experience.
• 3 years taking technical products from conception to launch.
• Experience with ADAS/Autonomous driving features is required.
• Experience integrating generative AI tools or LLM interfaces into workflows is required.

Responsibilities

• Manage and evolve relationships with upstream map data partners and oversee ADAS-specific map attribute schemas.
• Define, monitor, and defend data quality SLAs with engineering for automated validation loops.
• Translate ADAS feature mechanics into baseline software and data quality requirements for upstream teams.
• Manage the ADAS country tiering model and expand key attributes to new regions and road categories.
• Maintain open communication with OEM partners to keep roadmaps user- and partner-focused.

Skills

Product management

ADAS features

AI tool integration

End-to-end product development

Cross-functional leadership

Education

Bachelor's degree or equivalent practical experience

8 years of experience in product management or related technical role

3 years of experience taking technical products from conception to launch

Tools

HD maps

Geospatial databases

Data quality validation methodologies

Job description

Google is seeking a Product Manager for the Geo Auto Data Platform to guide ADAS-enabled map data across in-vehicle navigation and next-gen visualizations. You will bridge engineering and business teams, translating complex ADAS concepts into robust software and data systems.

You will work with Maps, Earth, Street View, and Google Maps Platform to enable safe, efficient, and scalable automotive solutions, shaping data foundations for autonomous driving capabilities.