Staff Product Manager, Mapping AI Experiences

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.

Responsibilities:

• Build deep customer empathy for the Rideshare experience of both riders and drivers – through user research, data analysis, and real-world usage of the Lyft platform
• Understand Lyft's strategic and competitive position. Set your team's goals and success metrics that align with Lyft's mission and drive maximum impact based on data analysis, market research and usability studies
• Build a product roadmap to achieve your goals and lead a core team of engineers, designers, data scientists, and marketers to execute on it
• Clearly communicate roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executive levels
• Completely own your team’s products – existing or new – from ideation, through development, launch, growth, and maintenance

Experience:

• 7+ years of industry experience (at least 5+ years in product management roles), ideally consumer-facing
• Demonstrated experience using data-driven insights and user research to build better products
• Have shipped products in deeply technical & analytical domains - able to use data and experimentation to guide a large cross-functional team towards a long-term vision
• Prior experience or training in technical roles (including data science, software development, AIML, algorithmic products) is a strong plus
• Prior experience in mapping, routing, logistics, or gig economy industries is a strong plus
• Be detail-oriented and able to dive deep into complex technical concepts, but also abstract them to executive stakeholders
• Strong communication skills and intuition for communication strategy at every level -- within teams, within the company, to users; and to the company leadership
• Ability to conceptualize, manage and prioritize multiple projects for stakeholders

Benefits:

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.