Jobs at Lyft

Own Lyft’s influencer marketing practice across strategy, talent relationships, deal negotiation, agency management, production, approvals, measurement, and compliance. Build scalable processes for creator partnerships, advise cross-functional teams, develop influencer benchmarks, and cultivate repeat creator relationships across organic and paid campaigns.

Leads the Developer Environments infrastructure team, guiding technical strategy, delivery, reliability, and developer productivity. Responsibilities include mentoring engineers, hiring, prioritizing technical and resource needs, managing backlogs, setting goals, balancing speed with service-level objectives, and ensuring scalable, highly available infrastructure. The role requires technical planning and design participation, production infrastructure experience, and proficiency in a high-level programming language.

Own the vision, roadmap, and success metrics for Lyft’s base pricing systems. Lead pricing optimization across ride types, regions, and trip intents; improve integration with dynamic pricing; evaluate cost and elasticity models; and support autonomous-vehicle networks. Partner with engineering, data science, analysts, and market teams to define requirements, prioritize work, run experiments, communicate decisions, and influence executives.

Own Lyft’s autonomous vehicle safety management programs across policy, risk management, assurance, and promotion. Responsibilities include authoring safety policies, managing risk registers and corrective actions, tracking safety indicators, supporting incident investigations and audits, operating the Safety Review Board, coordinating partner engagement, and driving safety readiness for launches and integrations across engineering, operations, legal, and EHS teams.

Partner with engineering, product, and business teams to frame problems, conduct exploratory analysis, build statistical and machine learning models, write production modeling code, run experiments, and analyze data to guide product launch decisions. The role requires production-quality programming, forecasting, optimization, causal inference, and data pipeline development using MATLAB, R, and Python.

Analyze pricing, driver earnings, and market data to influence product roadmaps. Develop hypotheses, analytical frameworks, predictive and quantitative models, financial and business models, data pipelines, and analytical tools. Collaborate with product leads to build scalable pricing systems and processes, while using optimization, programming, and machine learning to support business decisions.

Conduct qualitative and quantitative UX research across product areas using ethnographic research, surveys, concept testing, and usability testing. Analyze mixed-methods data, collaborate with data scientists, communicate insights, and provide recommendations that guide product direction and design improvements. Partner with cross-functional teams to support implementation and assess how research findings are applied.

Lead lifecycle marketing strategy and experimentation across email, push, SMS and in-app. Design, prioritize, and analyze experiments, partner with Product/Engineering/Data teams, drive creative and incentive strategy, and own performance reporting to optimize engagement and retention.

Manages commercial insurance program renewals, advises internal teams on risk and coverage requirements, maintains broker and carrier relationships, negotiates insurance terms, tracks coverage and rates, and supports certificates, policy reviews, submissions, and stewardship meetings.

Serves as the strategic people partner to Finance leadership, advising executives on organizational design, workforce planning, talent strategy, leadership development, compensation, performance, restructures, and M&A integration. Coaches senior leaders, uses people analytics to guide decisions, and manages sensitive employee relations matters in partnership with Legal and Employee Relations. Supports a complex, international, multi-entity Finance organization.

Lead marketplace and product analytics for Lyft’s Central Market Management organization. Develop analytical frameworks, business models, and recommendations that influence strategy, product roadmaps, and growth. Analyze trends, identify opportunities, communicate insights to senior leaders, and partner with Data Science, Product, Engineering, and other teams. The role requires strong SQL, data analysis, strategic problem-solving, storytelling, and cross-functional influence.

Leads Lyft’s product and brand communications strategy, shaping narratives for riders, drivers, regulators, and business audiences. Oversees communications planning, content strategy, earned media, public relations, influencer engagement, events, executive advising, cross-functional alignment, reporting, and data-informed optimization. Directs and develops a high-performing communications team while strengthening Lyft’s brand reputation across emerging and traditional platforms.

Design, train, and deploy time-series forecasting and real-time machine learning models to improve marketplace efficiency. Partner with engineers, product, and business teams to frame problems, run exploratory analysis, implement production model code, build backtesting and live experiments, and define monitoring and tooling for model health and operational efficiency.

Data Science Interns will develop optimization, machine learning, or inference models supporting Lyft’s marketplace and transportation platform. Responsibilities include exploratory data analysis, production modeling, algorithm implementation, simulated and live experiments, statistical analysis, and communicating findings to guide launch decisions. Interns collaborate with engineers, product managers, and cross-functional partners. Candidates must be pursuing a relevant master’s or PhD and be available in Summer 2027 for a hybrid internship in New York City.

Design, develop, deploy, and improve real-time machine learning systems for Lyft’s Fulfillment team. Build feature pipelines, training workflows, and model-serving infrastructure; translate research into production; evaluate models against business KPIs; run experiments; write production code; conduct code reviews; and collaborate with product, data science, and engineering teams.

Manage enterprise client relationships for Lyft Business, serving as the primary representative for transportation needs. Design and sell custom solutions, expand revenue through upsells and cross-sells, maintain sales pipelines and forecasts, and lead QBRs and account health reviews. Partner cross-functionally with Product, Engineering, Legal, Marketing, and Sales Operations while developing customer growth strategies, addressing roadblocks, and promoting Lyft products across client organizations.

Lead strategy, roadmap, and execution for Lyft Ads' ad serving platform. Own product lifecycle from ideation to launch and growth, align cross-functional partners, drive yield management and integrations with demand/supply partners, set metrics, and run experiments to optimize advertiser outcomes and rider experience.

Lead causal inference and marketing mix modeling to measure and optimize marketing investments. Define problems with stakeholders, build statistical pipelines and production models, design and analyze experiments, deploy solutions, and support automated campaigns via science on-call rotation to drive Growth outcomes.