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Group Product Manager, Verticals

LyftSan Francisco, CA
Full-timeMid Level
👁️ 6 views📝 0 applicationsPosted 4/27/2026Expires 8/28/2026

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Job Description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco headquarters. Lyft’s Verticals team owns three of the most strategically important and operationally complex marketplaces in our business: airports, scheduled rides, and events. These moments matter most. Airports are a defining touchpoint in the Lyft experience—high-stakes, high-complexity, and critical to both rider trust and driver earnings. Scheduled rides give riders confidence and control while providing drivers with greater predictability. Events—from packed stadium concerts to sold-out games—require precision logistics and seamless coordination at scale. Together, these verticals represent some of the highest-intent, highest-value use cases on the Lyft platform. As Group Product Manager for Verticals, you will define how millions of people plan, book, and experience their journeys across these critical moments. You’ll lead a high-performing team of PMs to build seamless booking flows, deeply personalized experiences, and robust integrations with travel and event partners—owning the end-to-end product across all three verticals. You’ll take on some of the most complex challenges in rideshare: optimizing rider-driver matching in dynamic, high-variability environments; advancing demand forecasting; improving real-time