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Lead end-to-end development, launch, and sustainment of station hardware products and a global fleet of charging/non-charging stations. Drive cross-functional alignment, set roadmaps and success metrics, resolve systemic product issues, and represent Lyft externally. Collaborate with engineering, design, data science, operations, and software PMs to deliver cohesive rider, operator, and city experiences.

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, build, and deploy production ML systems across pricing, marketplace optimization, fraud and behavior detection, and agentic LLM applications. Own models end-to-end, implement feature pipelines and serving infrastructure, evaluate performance against KPIs, run experiments, and collaborate with data scientists and engineers to scale ML solutions for Lyft Business.

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.

The Software Engineer at Lyft will innovate user solutions, lead features, and collaborate with cross-functional teams to improve ride and driver experiences using Python, Golang, and AWS.