Jobs at Lyft

As an Applied Scientist at Lyft, you will develop ML and optimization models for dynamic pricing, collaborate across teams, and implement algorithms to enhance rider experience.

The Account Manager on Lyft's Healthcare team manages partnerships with healthcare and community access organizations, focusing on customer service and account growth.

Lead and grow a cross-functional engineering team building backend and mobile fleet products. Set technical vision and product strategy, prioritize technical investments, mentor engineers, hire diverse talent, ensure scalable, highly-available delivery, and collaborate with Product, Design, Science, and Operations to drive business impact.

Design, build, and ship large-scale Rider Android features; define long-term architecture and roadmap; mentor engineers; ensure scalable, reliable code and rapid safe releases; collaborate with PMs and designers; solve real-time data sync issues and implement polished UI interactions.

Lead end-to-end legal integration for M&A and strategic transactions: build roadmaps, governance, and playbooks; manage cross-functional execution, outside counsel and vendor relationships, entity governance, and legal tech onboarding; create metrics, reporting, and scalable operating models to embed Legal in deal and post-close work.

Build and own backend systems for Lyft Growth Platforms (Incentives & Messaging). Design architecture, lead multi-person projects from concept to production, write well-tested code, collaborate with product, design, and data teams, operate distributed, scalable services using Python/Go/AWS/AI/NoSQL, participate in on-call incident response, and mentor peers to promote engineering best practices.

The Firmware Test Engineer designs and executes test plans for micromobility hardware, collaborating with teams to ensure quality and reliability of firmware. They manage deployments and contribute to NPI and fleet sustainability initiatives.

Lead and execute risk-based internal audits across technology and business domains, perform risk assessments, recommend control improvements, support ERM, manage co-sourced partners, and drive audit automation and continuous improvement.

Design, build, and launch backend services, components, and APIs. Partner with cross-functional teams to prototype solutions, write production-quality code, and evaluate systems for reliability, performance, and business impact at scale.

The Senior Software Engineer at Lyft will architect solutions, write maintainable code, lead projects, and collaborate across teams to resolve technical challenges, focusing on enhancing the rideshare experience.

Lead a Rider vertical engineering team to deliver 0-to-1 and iterative consumer-facing products. Drive execution, define roadmaps, manage dependencies and risks, ensure observability and reliability, guide architecture and tech debt, maintain team health and career development, and collaborate cross-functionally with product, design, data, and operations.

Design, train, and deploy time-series forecasting and real-time ML models to generate marketplace supply and demand signals. Collaborate with engineers, PMs, and business partners to frame problems, perform exploratory data analysis, implement production model code, run backtests and live experiments, monitor model health, and scale tooling to improve marketplace efficiency.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Drive end-to-end data science work for Growth: define problems with stakeholders, build statistical pipelines, write production code, design and analyze experiments, deploy production models, and participate in on-call rotations to ensure automated campaigns run smoothly.

As Group Product Manager for Verticals at Lyft, you will lead product management across critical transportation areas, managing a team, setting strategic goals, and collaborating with cross-functional partners to enhance user experiences in high-value markets.

The Senior AI Software Engineer will lead the development of a Risk Management Information System, enhancing claims management through AI and collaboration with various stakeholders. Responsibilities include defining technical roadmaps, providing architectural leadership, and delivering scalable solutions.

Lead lifecycle marketing strategy and experimentation across email, push, SMS and in-app. Design tests, prioritize roadmap, partner with Product/Engineering/Data teams, own reporting, and drive creative and incentive strategies to increase rider and driver engagement and retention.

Own visual asset creation and accuracy for Lyft's Learning Center by editing and animating video, motion graphics, and images; maintain asset libraries and versioning in CMS/DAM; run audits and brand-refresh updates; manage vendors and occasional small live-action shoots; partner cross-functionally to build efficient production systems and tooling.

Lead Lyft's AI transformation for developer productivity by owning roadmap, prioritizing work, and delivering AI-native tooling and agentic workflows. Run cross-functional programs end-to-end, define success metrics and adoption goals, gather customer requirements, manage risks and stakeholders, and support engineering teams with technical judgment and on-call release duties.

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.

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