Top Automotive Jobs in San Francisco, CA

Manage rental car partners, ensure damage validation, oversee operational excellence, train teams, analyze metrics, and maintain customer satisfaction.

The Account Director will build relationships, guide strategic planning, analyze service data, and drive revenue growth for Via's partners.

The Senior or Staff Software Engineer will lead technical direction, mentor engineers, write code, and collaborate with product and design teams to enhance user experiences and scale the platform.

Handle assigned litigation matters including developing case strategies, maintaining pleadings and document files, timely status reporting to claims handlers, using case-management software, responding to communications promptly, and traveling as needed. Hybrid role with monthly in-office reporting in San Jose.

The Chief Commercial Officer will lead commercial partnerships, drive revenue growth, design sales systems, and mentor sales teams while engaging Fortune 500 companies.

Develop, integrate, and validate IVI software for AFEELA vehicles across applications, middleware, and OS components. Debug, test, and optimize performance; support UI/UX implementation, partner developer support, demo vehicle setups, and cross-regional collaboration while ensuring automotive safety compliance.

Lead revenue operations spanning sales enablement, competitive intelligence, revenue planning, analytics, CRM administration (HubSpot, Gong), process optimization, and cross-functional partnership to improve pipeline health, forecasting, and GTM execution.

The Market Coordinator supports the launch and growth of the ALSO brand by delivering customer experiences, assisting in demos, engaging with the community, and managing retail operations.

Supervises the Workers' Compensation team, manages performance, conducts training, and ensures departmental goals and compliance with policies and procedures.

Develop and optimize unimodal and multimodal perception models for 3D/BEV terrain and surface inference, build large-scale data pipelines and annotation tools, deploy and optimize models on edge compute, collaborate with robotics/software/hardware teams, mentor juniors, and translate research into production-grade autonomous vehicle perception systems.