Product Manager, Geo Auto Data Platform

• Manage and evolve the relationship with our upstream internal map data partners. This involves driving, reviewing, and approving ADAS-specific map attribute schemas and documenting, establishing and enforcing cross-functional governance to prevent fragmentation across divergent (non-ADAS) use cases.
• Define, monitor, and defend data quality (accuracy and freshness) service level agreements (SLAs). Partner with engineering to prioritize automated validation loops.
• Translate downstream ADAS/AD feature mechanics to baseline software and data quality requirements; educate and advocate use cases with upstream data teams.
• Manage the ADAS country tiering model. Prioritize, negotiate, and drive the expansion of key ADAS attributes into new regions and deeper road categories across internal teams.
• Maintain open communication channels with original equipment manufacturer (OEM) partners to ensure our core roadmaps remain user- and partner-focused.

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, etc.).
• 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.

• 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, etc.).
• Experience with advanced driver-assistance systems or autonomous driving features.
• Experience integrating generative AI tools or LLM interfaces into workflows.