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

Lead decision-science initiatives to improve operational efficiency and financial outcomes. Design decision frameworks, attribution and measurement strategies, forecasting and monitoring systems. Produce production-quality Python/SQL code, guide other data scientists, and translate analyses into actionable recommendations for cross-functional stakeholders.

Lead and grow a cross-platform engineering team (backend, frontend, iOS, Android) to define technical vision, deliver high-quality app experiences for luxury ride modes, mentor managers and engineers, prioritize technical investments versus product work, drive cross-functional alignment, hire diverse talent, and ensure scalable, highly available production systems.

Provide legal counsel to product, partnerships, marketing, engineering, and public policy teams. Draft, review, and negotiate complex partnership and technology agreements. Advise on product development, launch, and operations. Develop long-term legal strategies balancing risk and business goals. Integrate with cross-functional teams and prioritize shifting business needs while supporting additional projects as needed.

Build and maintain Lyft's ETA prediction system: analyze data, prototype ML and non-ML solutions, develop statistical/ML/optimization models, trade off accuracy versus production/runtime, write scalable production-quality code, participate in design/code reviews, on-call support, and incident triage.

Provide high-level executive support for three senior leaders: manage complex calendars, travel, and communications; plan events and offsites; project-manage org initiatives; handle budget and expenses; partner with Office Ops and IT; and mentor fellow Executive Business Partners to ensure smooth operations.

Lead architecture and technical roadmaps for Lyft Business platform. Own large-scale distributed systems reliability, observability, performance, and cross-team delivery. Mentor engineers, drive tech debt reduction, establish deployment/on-call best practices, and align product, design, and operations to deliver enterprise integrations and rider/admin experiences.

Lead FP&A for Autonomous Vehicles, Luxury, and Growth Initiatives: financial planning, forecasting, scenario and long-term planning, ROI and FCF frameworks, dashboard automation, performance management, capital allocation, and build/manage a high-performing FP&A team while partnering with executives on strategic investment decisions.

As an Applied Scientist at Lyft, you will develop ML and optimization models for dynamic pricing, collaborate across teams, and implement algorithms to enhance rider experience.

Lead and grow a cross-functional engineering team building backend and mobile fleet products. Set technical vision and product strategy, prioritize technical investments, mentor engineers, hire diverse talent, ensure scalable, highly-available delivery, and collaborate with Product, Design, Science, and Operations to drive business impact.

Lead end-to-end legal integration for M&A and strategic transactions: build roadmaps, governance, and playbooks; manage cross-functional execution, outside counsel and vendor relationships, entity governance, and legal tech onboarding; create metrics, reporting, and scalable operating models to embed Legal in deal and post-close work.