Jobs at Lyft

Lead decision science initiatives to improve operational efficiency and financial outcomes. Build decision frameworks, attribution and forecasting models, deliver reproducible Python/SQL code, mentor data scientists, and partner cross-functionally to measure and scale impact.

Lead applied AI transformation for Marketing by identifying high-impact use cases, designing and building AI-powered tools, integrations, templates, and governance. Drive adoption through training, workshops, enablement, and metrics tracking. Partner cross-functionally with Creative, Growth, Product, IT, Security, Legal, and vendors to ensure secure, scalable, and compliant AI workflows that improve speed, quality, and reuse across marketing operations.

Lead and grow an engineering team supporting growth products: remove blockers, ensure reliability and observability, drive architecture and technical excellence, partner cross-functionally on roadmap, manage team health and career development, and scale systems for international expansion.

Own pricing, yield, and sales compensation for Lyft Ads and Lyft Business. Set CPM floors, rate cards, and margin targets; monitor sell-through and vendor-managed Audience Extension performance; design and administer commission plans; run compensation calculations, reconcile with Accounting, and coordinate adtech/OMS systems across Analytics, Sales, and Finance.

Lead strategic initiatives to grow Lyft Business by identifying new B2B use cases, building business cases, sourcing partnerships, analyzing metrics, and driving cross-functional launches and executive-level recommendations.

Sell Lyft first-party audience data to agency and holding company accounts. Manage full sales cycle from prospecting to close, meet quarterly revenue targets, translate mobility data into RFP-winning briefs, and coordinate with Account Management, Data Partnerships, and Product for activation, attribution, and renewals. Maintain pipeline hygiene and forecasting in Salesforce.

Lead communications across public policy, Lyft Urban Solutions (bikeshare and micromobility), and social impact. Develop proactive and rapid-response strategies, manage media and stakeholder relations, craft executive-ready materials, support consumer and partnership communications, coordinate cross-functionally, prepare spokespeople, and drive local market engagement and storytelling.

Develop machine learning models and optimize pricing algorithms to enhance Lyft's market dynamics, collaborating with cross-functional teams on real-world business problems.

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.

The Senior Data Scientist will develop optimization models, manage the model lifecycle, and collaborate across teams to enhance Lyft's marketplace efficiency and strategy.

Design, build, and own backend systems for Lyft Growth Platforms (Incentives & Messaging). Lead multi-person projects from concept to production, write high-quality code, participate in on-call rotations, collaborate with cross-functional teams, and mentor peers while improving platform reliability, scalability, and developer workflows.

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.

Lead programmatic and agency sales for LyftAds, owning revenue targets across agencies and demand partners. Develop GTM strategies, build C-level relationships, structure complex deals (PMPs, data partnerships, measurement), influence product roadmap, drive co-sells with Brand Sales, and maintain pipeline discipline including forecasting and CRM hygiene.

Develop and deploy optimization and ML models for pricing decisions. Collaborate with engineers, product, and business partners to frame problems, analyze data, run experiments, implement production algorithms, define metrics, and provide technical guidance to teammates.

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.

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.

The Data Analyst will leverage data to guide product decisions, enhance the rider experience, and drive growth in Lyft's Luxury services, collaborating with various teams to present strategic insights.

Lead Lyft's Design Systems team to define strategy, roadmap, and quality standards for the Lyft Product Language. Manage designers and illustrators, drive cross-platform coherence, accessibility, localization, and shipped-to-code workflows. Partner with engineering and product to maintain system health, own contribution and release processes, and integrate AI into tooling and designer workflows.

Lead technical direction for Rider systems: own architecture and roadmaps, drive cross-team alignment, improve reliability/observability, reduce tech debt, mentor engineers, and participate in hiring and interviews to deliver a best-in-class rider experience.

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