Jobs at Lyft

Manage Lyft’s global patent portfolio, including invention harvesting, prosecution strategy, filings, continuations, abandonments, reporting, and outside counsel oversight. Advise engineering and product teams on open-source licensing, technical publications, confidentiality, and IP protection. Support IP diligence for partnerships, M&A, and vendors; educate teams; and build scalable IP policies and processes. The role requires collaboration with technical teams, patent strategy expertise, and broad intellectual property counseling.

Manages Lyft’s global patent portfolio, including invention harvesting, prosecution strategy, filings, continuations, abandonments, and portfolio reporting. Advises engineering and product teams on open-source licensing, technical disclosures, confidentiality, and broader intellectual property matters. Supports IP diligence for partnerships, acquisitions, and vendors; trains teams; and develops scalable IP policies, processes, and tools. The role requires collaboration with engineers, researchers, outside counsel, and business stakeholders across mobility and autonomous vehicle initiatives.

Manage Lyft’s global patent portfolio, including invention harvesting, prosecution strategy, filings, continuations, abandonments, portfolio reporting, and outside counsel. Advise engineering and product teams on open source licensing, technical disclosures, confidentiality, and IP protection. Support IP diligence for partnerships, M&A, and vendors; educate teams; and develop scalable IP policies and processes. The role also provides strategic counsel on mobility hardware, software, autonomous vehicles, and emerging technology.

Own and evolve resilient data pipelines supporting Lyft Marketplace financial, pricing, and driver metrics. Design data models, improve data quality, optimize SQL and ETL performance, build self-service pipeline tools, contribute to technical roadmaps, conduct code reviews, and participate in on-call support. Collaborate with analytics, data science, product, engineering, and external partners to deliver scalable, reliable, cost-efficient data solutions.

Lead Lyft’s highest-impact technical and product initiatives from concept through launch. Responsibilities include co-owning strategy with Product and Engineering, managing cross-functional delivery, developing acquisition and partnership integration roadmaps, overseeing risks and dependencies, driving executive decisions, and establishing program governance. The role also mentors TPMs and supports recruiting and onboarding while operating in a highly ambiguous, matrixed environment.

Lead the data science vision for Lyft’s autonomous vehicle marketplace. Define success metrics, design experiments and causal analyses, guide matching and pricing models, build market-sizing and business cases, evaluate partner performance, and shape expansion strategy. The role partners with engineering, product, operations, policy, executives, and AV companies while mentoring data scientists and building the AV science function.

Lead an 11-person engineering team responsible for quality engineering, test automation, release certification, production support, troubleshooting, and developer experience. Set technical direction for automation and CI/CD, improve development and testing environments, manage release and incident processes, and use operational data to drive systemic improvements. Mentor engineers, establish scalable processes, collaborate across engineering and product teams, and remain technically engaged in solving complex production issues.

Gère une équipe de 11 personnes responsable de l’ingénierie qualité, de l’automatisation des tests, des pipelines CI/CD, des mises en production et du soutien aux incidents. Définit la stratégie technique, améliore l’expérience développeur, supervise la certification des versions et pilote l’analyse des causes racines. Le poste exige une solide expérience en développement logiciel, en automatisation, en systèmes distribués et en gestion d’équipes, ainsi qu’une maîtrise du français et de l’anglais.

Owns indirect tax accounting, compliance, reporting, audit defense, tax research, and risk resolution across multiple jurisdictions. The role develops tax strategies, reviews reconciliations and returns, improves and automates workflows using Excel and Alteryx, coordinates with engineering and business teams, and mentors junior tax professionals.

Build and maintain backend systems, scalable data models, and large-scale pipelines supporting ad serving, campaign management, reporting, targeting, and measurement. Design reliable workflows using orchestration tools, integrate internal and third-party systems through APIs and batch feeds, and develop clean, testable code. Collaborate with product, analytics, data science, and operations teams on architecture, performance, observability, and reliability while developing expertise in distributed systems and data engineering.

Supports digital advertising campaigns from pre-sales planning through post-sale execution, including inventory forecasting, campaign trafficking, optimization, reporting, billing coordination, and data accuracy. Partners with Account Executives, Ad Operations, Legal, Product, Engineering, and clients to deliver campaigns and improve processes. Initially supports client relationships, with opportunities to independently manage accounts and lead client communications over time.

Own lifecycle growth marketing strategy, experimentation, channel prioritization, performance reporting, and creative strategy across email, push, SMS, and in-app messaging. Partner with Product, Engineering, Analytics, Data Science, and Marketing Operations to develop platform capabilities, optimize automated journeys, and drive measurable user engagement through personalized communications, behavioral science, and monetary incentives.

Supports digital advertising campaigns from setup through launch, QA, optimization, reporting, and troubleshooting. Implements tracking technologies, analyzes campaign performance, conducts A/B tests, and provides data-driven recommendations. Collaborates with sales, account management, product, and engineering teams while ensuring campaigns comply with advertising policies and regulations.

Own the vision, roadmap, and success metrics for Lyft’s base pricing systems. Lead pricing optimization across ride types, markets, and real-time dynamic pricing, while improving cost and impact models. Partner with engineering, data science, analysts, and market teams to define requirements, prioritize work, run experiments, and communicate decisions to executives. The role requires deep understanding of economic levers, marketplace dynamics, experimentation, SQL, and data-driven product development.

The Chief of Staff serves as a strategic partner and execution lead for Lyft Urban Solutions leadership. Responsibilities include annual planning and OKRs, operating governance, executive preparation, strategic initiatives, internal communications, change management, organizational effectiveness, cross-functional alignment, and scalable process improvement. The role coordinates global teams across product, operations, finance, legal, policy, and people functions while driving decisions and priorities through delivery.

Own lifecycle growth marketing strategy, experimentation, channel prioritization, performance reporting, and creative strategy across email, push, SMS, and in-app messaging. Partner with Product, Engineering, Analytics, Data Science, and Marketing Operations to develop platform capabilities, optimize personalized customer journeys, and use behavioral science and incentives to drive engagement, retention, and usage.

Supports actuarial data pipelines, monitoring dashboards, pricing, reserving, financial reporting, and competitive analysis for auto insurance products. Collaborates with Engineering, Data Science, Operations, Finance, Legal, and Public Policy teams. The role requires strong SQL and actuarial analysis skills, with opportunities to use ETL, R, Python, and automation while pursuing FCAS development.

The Senior Actuarial Analyst develops ETL pipelines, maintains actuarial data, builds monitoring dashboards, and supports modeling, reserving, pricing, financial reporting, and competitive analysis. The role partners with Engineering, Data Science, Operations, Finance, Legal, and Public Policy teams, contributing to process improvements and insightful analysis for auto insurance products.

Supports actuarial data pipelines, monitoring dashboards, modeling, reserving, pricing, financial reporting, and competitive analysis for auto insurance products. The role collaborates with Engineering, Data Science, Operations, Finance, Legal, and Public Policy teams, maintains accurate actuarial data, contributes to process improvements, and delivers insightful analysis. Strong SQL, insurance actuarial experience, and coding or automation skills are important, with support provided for FCAS exam development.

Supports actuarial data pipelines, monitoring dashboards, pricing, reserving, financial reporting, and competitive analysis for Lyft’s insurance products. The role collaborates with Engineering, Data Science, Operations, Finance, Legal, and Public Policy teams, ensuring accurate and timely actuarial data and insights. Responsibilities include maintaining ETL processes, contributing to modeling and process improvements, researching insurance filings and financial statements, and delivering analysis to support business decisions.