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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. Build decision frameworks, attribution and forecasting models, deliver reproducible Python/SQL code, mentor data scientists, and partner cross-functionally to measure and scale impact.

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.

The Finance Business Operations Manager at Lyft drives execution of strategic programs and M&A integration, coordinating finance operations across initiatives, and managing cross-functional relationships for effective integration and launch of products.

The Senior ML Software Engineer will create and improve capabilities for mapping data using machine learning, collaborating with engineers and data scientists, developing models, and writing production code.

The Staff Data Scientist will lead data science initiatives, shaping business decisions with causal inference and advanced analytics in the Partnership, Loyalty & Pay team at Lyft, collaborating with multiple teams to drive strategic data-centric recommendations.

The Staff Data Scientist will leverage data analysis and modeling to drive business decisions and strategies through causal inference and advanced analytics across multiple teams.

Lead and reimagine Lyft's support enablement systems (Knowledge Management, Quality, Learning & Performance, Tooling). Set vision and OKRs, drive AI-native adoption, partner cross-functionally with Product and Engineering, translate strategy into execution, and manage a team of managers and their teams to improve customer outcomes at scale.

Lead Knowledge Management, Quality, Learning & Performance, and Tooling Enablement for Lyft Customer Care. Define and execute an integrated, AI-native support vision, partner with Product and Engineering, drive adoption of tooling and quality feedback loops, and lead managers to deliver scalable, measurable improvements in customer outcomes.

The Global Equity Program Manager supports Lyft's global equity programs, focusing on administration, compliance, automation, and employee education while collaborating cross-functionally with senior leadership.