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Lead measurement and optimization of marketing investments using causal inference and MMM. Deliver end-to-end data science solutions for Growth: define problems, build statistical pipelines, productionize models, design and analyze experiments, own roadmaps, and support automated campaigns via on-call rotation.

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.

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.

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.

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 visual asset creation and maintenance for Lyft's Learning Center, focusing on video editing and motion graphics. Audit, update, and version assets, manage vendors and small shoots, evolve asset systems (Contentful, Figma), and partner cross-functionally to ensure accurate, on-brand customer tutorials.

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.