Product Manager, Geo Auto Data Platform

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1).
• Experience with advanced driver-assistance systems or autonomous driving features.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications

• Master’s or PhD degree in a technical field (e.g., GIS, Geomatics, Computer Science, Spatial Engineering).
• Deep domain expertise in ADAS/AD features and how these are supported by map data systems and standards (e.g., electronic horizon, ADASIS, NDS, HD maps, sensor fusion).
• Experience launching ADAS features into series production, ideally with global OEM customers.
• Technical background in map compilation, geospatial databases, and data quality validation methodologies for the automotive/ADAS domain.
• Proven ability to influence without authority in a highly matrixed, multi-site environment.

About the job

Work cross-functionally to guide products from conception to launch, connecting technical and business needs and breaking complex problems into actionable product-development steps.

The Geo Auto Data Platform team builds the data foundation and platforms for in-vehicle automotive offerings. The platform supports deeply integrated turn-by-turn navigation, next-generation visualizations powered by lane-level positioning, and map-data services for advanced driver-assistance systems (ADAS) and autonomous driving (AD), including L2++ and beyond capabilities.

Bring deep expertise in AD/ADAS features and the map data that supports them. Ensure software, tooling, map data, and supporting services meet rigorous safety, freshness, and accuracy standards for AD/ADAS features.

Responsibilities

• Manage and evolve relationships with upstream internal map-data partners.
• Drive, review, and approve ADAS-specific map-attribute schemas; document, establish, and enforce cross-functional governance to prevent fragmentation across divergent non-ADAS use cases.
• Define, monitor, and defend data-quality service-level agreements (SLAs) for accuracy and freshness; partner with engineering to prioritize automated validation loops.
• Translate downstream ADAS/AD feature mechanics into baseline software and data-quality requirements; educate and advocate for use cases with upstream data teams.
• Manage the ADAS country-tiering model.
• Prioritize, negotiate, and drive expansion of key ADAS attributes into new regions and deeper road categories across internal teams.
• Maintain open communication channels with OEM partners to keep core roadmaps user- and partner-focused.