Jobs at Lyft

Lead analytics for Safety & Customer Care by partnering cross-functionally to define metrics, build dashboards, design and analyze A/B tests, monitor KPIs, and deliver data-driven recommendations to improve customer support experience and inform senior leadership.

Serve as the bridge between People teams and engineering to architect AI-first HR/People solutions. Define roadmaps, design business processes, write requirements/user stories, and guide integrations across Workday, ATS, and boundary apps. Drive AI-enabled automation, responsible AI frameworks, ROI cases, data/privacy compliance, and support M&A People systems integration while influencing stakeholders and ensuring delivered solutions meet business objectives.

Leads Lyft’s political campaign strategy, legislative advocacy, and ballot initiative efforts while managing federal and state PAC operations. Develops campaign plans, budgets, timelines, messaging, coalitions, and stakeholder relationships. Owns political contribution strategy, fundraising initiatives, compliance with campaign finance laws, political giving cycles, and executive briefings. Coordinates cross-functional work across policy, communications, legal, product, and marketing teams.

Own the integrity, governance, reconciliation, and publication of Lyft’s safety data. Lead reporting definitions, QA, audits, documentation, dashboards, and roadmap prioritization while partnering with Business, Legal, Policy, Communications, Product, Engineering, and Data Science. Diagnose safety trends, define initiative metrics, deliver actionable recommendations to leadership, establish analytical standards, and mentor junior analysts.

Lead a cross-functional engineering team spanning iOS, Android, and server platforms. Own the membership and rewards platform, including roadmap strategy, architecture, reliability, observability, technical debt, and on-call operations. Partner with Product, Design, Data Science, Partnerships, and Rider Pay to scale consumer loyalty products. Develop engineers through goal-setting, opportunity matching, and timely feedback.

The Data Analyst will leverage data to enhance operational performance in micromobility, collaborate with cross-functional teams, and perform in-depth analyses.

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.

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.

Lead state and local public policy strategy across seven Mid-South and Southwest states. Build relationships with elected officials and stakeholders, track and respond to legislation and government inquiries, collaborate cross-functionally, manage consultants and external partnerships, and produce policy materials and executive briefings.

Lead programmatic and Audience Extension go-to-market strategy, manage programmatic channel and revenue partners, define packaging/pricing, drive revenue growth, and collaborate cross-functionally with Product, Data Science, Sales, and Engineering.

Manage Lyft's NYC municipal and county policy strategy: lobby elected officials, track legislation, coordinate with internal stakeholders (Legal, Compliance, Communications, Marketplace), manage external consultants and community relationships, draft policy materials, mobilize supporters, and oversee local budget and engagement efforts to advance rideshare drivers and riders interests.

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.

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.

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 Lyft's local legislative, regulatory, and political strategy across major California markets. Build and manage relationships with elected officials, community groups, and business partners; track and respond to municipal and county policy developments; coordinate cross-functional teams, external consultants, and stakeholder engagement; draft testimony and policy communications; oversee local budgets and mobilize supporters during key legislative moments and events.

Lead go-to-market strategy for Lyft Ads measurement, data, and audience products. Translate ad tech signals into market-facing solutions, define pricing/packaging, drive attribution and reporting adoption, and build bespoke data partnerships. Collaborate cross-functionally with Product, Data Science, Engineering, Sales, Legal, and Finance to commercialize first-party mobility data and demonstrate ROI to 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 a Core Rider engineering team to own foundational systems and rider functionality. Drive strategy, execution, architecture, reliability, observability, hiring, career development, and cross-functional collaboration to improve top-line metrics and rider experience.

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.