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

Lead go-to-market strategy for Lyft's first-party audience data and measurement products. Translate backend signals, attribution models, and reporting into buyer-facing solutions; define pricing and packaging; drive adoption of attribution and reporting tools; and originate bespoke data partnerships. Collaborate cross-functionally with Product, Data Science, Engineering, Sales, Legal, and Finance to commercialize data, manage measurement partner relationships, and deliver ROI clarity for brands and agencies.

Lead go-to-market strategy for Lyft Ads programmatic and Audience Extension products. Own packaging, pricing, partner management (DSPs/SSPs/clean rooms), and commercial negotiations. Collaborate with Product, Data Science, Sales, and Engineering to scale programmatic channels, build partner frameworks, drive revenue, and refine measurement and audience segmentation.

Lead the Core Rider engineering team owning foundational rider systems to improve top-line metrics and rider experience. Translate business goals into roadmaps, ensure reliability and technical excellence, manage cross-functional dependencies, grow engineers' careers, and maintain operational best practices.

Design, implement, and deploy machine learning models and systems for recommendations and related problems. Collaborate with engineers, data scientists, and product partners to analyze data, build proofs-of-concept, develop ML/optimization models, write production-quality code, and evaluate models against business goals.

The Analytics Lead will analyze rideshare market trends, drive business strategies, and collaborate with cross-functional teams to identify growth opportunities.

Develop and deploy production-grade ML and optimization models for pricing and ETA decisions. Partner with cross-functional teams to frame problems, build proofs-of-concept, productionize scalable pipelines, evaluate model performance against business metrics, and monitor system health. Drive collaboration to ensure robust, impactful solutions.

Lead a cross-functional team to own the core rider journey (home, request, pickup, in-ride, payment) for Lyft's consumer mobile app. Set vision, goals, metrics; drive ideation through launch, experimentation, growth, and maintenance; coordinate engineers, designers, analysts, marketers, and operations; and deliver scalable experiences across locations and vehicle types.

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 team building user-facing mapping experiences and scalable map services. Hire, mentor, prioritize work, balance long-term architecture with shipping speed, and collaborate with Product, Design, Research, and Science to deliver high-quality mobile products for millions of users.

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.