Jobs at Lyft

Lead growth strategy for Lyft Business Growth, managing acquisition, activation, retention metrics, and collaboration across teams to drive customer engagement and revenue.

Lead planning, workforce, vendor, and readiness functions for Customer Care. Build financial models, drive capacity and OKR execution, manage BPO vendor relationships, enable integrations and product launches, and hire and develop high-performing teams to scale operations and AI adoption.

Lead Lyft's M&A legal function, managing complex buy/sell-side and cross-border transactions, integrations, divestitures, financings, and joint ventures. Mentor and run an in-house M&A team, partner with Corporate Development, Treasury, and cross-functional stakeholders, draft and negotiate transaction documents, and scale legal processes and playbooks to support corporate strategy.

Provide in-person customer support at a Flexdrive Lyft hub: check in customers, assign and prepare rental vehicles (fueling, cleaning, telematics, plates, inspections), manage lot organization and vehicle transport, process returns, flag issues, and uphold high service standards while collaborating with the team.

The Staff Product Manager will lead acquisition and lifecycle strategies for Lyft Business, enhancing growth loops and customer engagement across various products.

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.