Product Manager, Geo Auto Data Platform
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Job description
About the Position
Product Manager, Geo Auto Data Platform
Senior • On-site
Seattle, WA
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.
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.
We Offer
- Competitive salary
- Opportunity to work in a leading tech company
- Professional growth and development
About the Company
Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.
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Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce
About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.
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