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Perform financial analysis, budgeting, forecasting, reporting, and variance analysis to support business decisions. Partner with cross-functional teams, build models and dashboards, and communicate insights to stakeholders to inform strategy and operational improvements.

Design and iterate user experiences for Lyft's micromobility operations (warehouses, vehicles, field and consumer apps). Lead end-to-end product design from concept to launch using research, data, wireframes, mockups and high‑fidelity interactive prototypes. Collaborate with product, engineering and marketing to deliver elegant, usable solutions that improve operator efficiency and rider experience.

Design and iterate on micromobility operations products used in warehouses, vans, and in-field. Partner with product, engineering, and research to define features, create wireframes, mockups, and interactive prototypes, and present design rationale to cross-functional teams. Use research and data to influence product direction and deliver high-quality, end-to-end user experiences.

Sell Lyft first-party audience data to agency and holding company accounts. Manage full sales cycle from prospecting to close, meet quarterly revenue targets, translate mobility data into RFP-winning briefs, and coordinate with Account Management, Data Partnerships, and Product for activation, attribution, and renewals. Maintain pipeline hygiene and forecasting in Salesforce.

Partner with finance SMEs to analyze, document, standardize, and automate cross-functional finance processes. Design future-state workflows, implement automation and tools, measure KPIs, collaborate with Tech and stakeholders, and support change management and training to scale finance operations.

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 multiple managers and staff engineers across iOS, Android, and server teams to define technical vision and deliver Rider Loyalty, Partnerships, and Rider Pay products. Coach managers and engineers, collaborate cross-functionally with Product, Design, Data Science, and Analytics, hire diverse talent, and drive scalable consumer-facing solutions to production while ensuring high product quality and business impact.

As a Senior Analyst, you will leverage data for Lyft's global expansion strategy, collaborating on product enhancements and growth opportunities, while analyzing impacts on users and markets.

Build, operate, and improve a scalable asynchronous platform: monitor system metrics, design and deploy tooling for reliability and efficiency, automate infrastructure (IaC), participate in design and production readiness reviews, capacity planning, document operations, and join on-call rotations to respond to incidents and mitigate customer impact.