Teams at Lyft

Develop and operate scalable pricing systems and infrastructure for Lyft’s Marketplace organization. Build distributed systems, data pipelines, forecasting and experimentation capabilities; manage pricing data storage and sharing; collaborate with Product and Science teams from planning through launch; write tested, maintainable code; participate in reviews; and promote engineering best practices.

Build production data pipelines, analytics tools, dashboards, semantic-layer assets, and automated workflows supporting Lyft Business sales and account teams. Define trusted metrics, analyze sales performance, identify account and territory insights, and translate findings into clear recommendations for technical and non-technical stakeholders. The role partners across Sales, Product, Finance, Legal, and leadership while influencing business decisions through accurate, actionable analysis.

Analyze marketplace trends, financial and product levers, budgets, and competitive insights to support Lyft’s Rideshare growth strategy. The role develops forecasting, reporting, business reviews, recommendations, and execution plans while partnering with cross-functional stakeholders and leadership. It requires strong SQL, quantitative analysis, communication, attention to detail, and the ability to improve processes and operate effectively amid ambiguity and change.