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. Product Management at Lyft leads the integration of engineering, data science, and design to achieve the company’s vision for reinventing transportation Lyft’s Mapping team builds and operates a global mapping platform that powers Rideshare-specific experiences – everything from offering Riders accurate pricing and ETAs to navigating Drivers safely and efficiently from pickup to dropoff. A single Lyft ride generates massive amounts of data including routes, ETAs, traffic and closures, rider prices, driver pay, reimbursed tolls, turn by turn navigation instructions, pickup and dropoff spots, rider and driver location updates. Drivers and riders also contribute volumes of user-generated content including driver feedback (both real-time and post-ride), Rider ratings and comments, communications between Riders and Drivers. Historically, most of this ride data has been reviewed manually or with rules-based automation. This role will accelerate Mapping through an AI-powered transformation to drive the strategy and execution for building AI agents to extract valuable insights from this data. Mapping AI agents will be used to automate map improvements, debug complex in-ride issues, identify ride anomalies and potential root causes, interpret freeform feedback from drivers and riders, and eventually scale beyond Mapping to draw insights across Media Ads campaigns, Driver telematics and road safety events, Customer support tickets, and more. This is an exciting new Staff-level role with an initial focus on Mapping-based use cases for AI agents and will expand over time to Lyft-wide use cases. This role is also responsible for the in-ride feedback experience enabling Drivers to report any issues related to mapping and navigation, realtime road conditions, and pickup/dropoff issues – all of which contribute to our ability to build a self-healing map for our riders and drivers.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees