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Design and implement scalable, low-latency backend systems for Lyft Pricing. Lead multi-person projects, write maintainable and tested code, mentor teammates, participate in incident response, and collaborate with Product and Science on pricing solutions.

Partner with the Self-Serve product team to measure and optimize the acquisition-to-engagement funnel. Build reusable datasets and dashboards, validate instrumentation, run deep-dive analyses and experiments, and translate insights into narratives for technical and non-technical stakeholders to inform product and go-to-market strategy.

As an iOS Tooling Engineer, you will enhance mobile development systems, manage projects, maintain CI infrastructure, and support iOS applications while collaborating with a team of engineers.

The Oracle EPM Engineer supports Lyft’s Corporate consolidations systems, optimizing performance, managing incidents, and creating automated workflows while collaborating with finance and technology stakeholders.

Join Lyft's Mobile Tooling team to create and maintain infrastructure for mobile builds, enhancing productivity with tools and automation for hundreds of engineers.

Lead Lyft Product Language (LPL) design system strategy, team, and execution across mobile, web, and brand. Manage and develop design systems designers and illustrators, ensure cross-platform coherence, accessibility (WCAG), localization, and quality. Partner with engineering and product to own component contribution, review, and release processes, and drive AI-enabled tooling and adoption.

Lead technical integration of acquired companies into Lyft's IT environment, migrating SaaS and identity systems (Okta), automating workflows and APIs, writing runbooks, and partnering with IT, Security, and vendors to ensure smooth M&A platform consolidations.

This role involves using data analysis to support marketing strategy, measuring campaign impact, and developing insights to inform marketing decisions.

Owner of forecasting and capacity models for global customer support; translate complex data into actionable staffing plans, maintain dashboards and reports, leverage AI tools to accelerate analysis, and partner with operations leadership to align resourcing and improve planning processes.

Support driver earnings and marketplace teams with SQL-driven analysis, reporting, and financial reconciliation. Provide insights, track product performance, support experiments, prepare leadership business reviews, and develop processes and playbooks to improve earnings products and reduce errors.