Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Product Marketing Lead will own go-to-market strategies for U.S. and U.K. markets, ensuring scalability and cross-functional alignment for successful launches and expansions, while overseeing market performance and team leadership.

Manage and deploy brand media strategies across digital and offline channels to enhance brand visibility and support growth marketing. Collaborate cross-functionally to analyze investments' impact on growth metrics, and optimize media allocation while guiding agency partners for effective execution.

The Staff Systems Engineer will architect projects affecting systems efficiency, manage cross-functional risks, and support validation through clear technical documentation and collaboration.

Collaborate on fleet partnership deals, develop financial models, present insights to leadership, and evaluate post-deal performance to enhance capital deployment.

Lead design and execution of data selection, incremental model updates, deployment, and in-field monitoring for large-scale perception ML models. Build and grow teams, define technical roadmaps and OKRs, make staffing and technical decisions, and ensure reliable delivery for an ML system serving millions of rides.

As a Machine Learning Engineer, you will apply ML techniques for perception tasks, develop model training methods, and evaluate performance in autonomous driving applications.

Lead technical strategy for iOS platform, build key infrastructure, ensure engineering excellence, and mentor senior engineers.

The Market Operations Lead will oversee the operational performance of the Ride-hail services, ensuring quality, scalability, and reliability while leading cross-functional teams in the Bay Area.

The Technical Training Manager will oversee training programs for vendors and partners, ensuring effective delivery and compliance with safety standards, while managing training qualifications and external partnerships.

The Demand Operations Manager will oversee fleet positioning, ensure seamless rider experience, manage service quality, and collaborate with stakeholders to optimize operations across multiple markets.