Top Automotive Product Manager Jobs in San Francisco, CA

Lead the development and strategy of accident management products, collaborate with teams, mentor junior staff, and drive revenue growth through effective product launch and innovation.

As a Product Marketing Manager, you'll develop and execute go-to-market strategies, facilitate product launches, and collaborate across teams to drive sales success and customer insights.

As a Product Manager, you will develop the roadmap for driving behavior technology, align cross-functional teams, and analyze data to guide product decisions. You'll work on AI/ML technologies to enhance Waymo's autonomous driving capabilities.

This role involves defining the product vision and roadmap for integrating self-driving technology into trucking operations, collaborating with cross-functional teams, and managing product requirements and user experiences.

The Senior Product Manager will drive product innovation and strategy, focusing on mobile experiences and AI solutions while collaborating with various teams to enhance customer engagement.

The Technical Product Owner analyzes healthcare claims processes, writes user stories, collaborates with development teams, and ensures new features enhance automation and accuracy.

Lead the development and growth of SaaS products for auto repair shops by managing product strategy, roadmap, and cross-team collaboration.

As a Senior State Product Manager, you'll optimize auto insurance products, analyze performance metrics, manage state P&L, and collaborate across functions to enhance customer solutions.

The Principal Product Manager will focus on horizontal initiatives, working with cross-functional teams to drive roadmaps and deliver measurable product outcomes. Key responsibilities include establishing product vision, driving execution excellence, and utilizing data for optimization.

The Principal Product Manager will lead data initiatives, defining the roadmap for a comprehensive platform, establishing KPI metrics, and collaborating across teams to enhance data-driven decision-making within the automotive sector.