Staff Product Manager, Lyft AI Platform & Marketplace Applications

Responsibilities

• Define, own and execute the roadmap of the AI platform and AI-powered marketplace products
• Define, track and periodically report on metrics and KPIs of the org, both to align the org and to showcase the achievements & the misses to leadership
• Engage teams and users of AI platform inside the company to understand their needs, evangelize current offerings and identify gaps or opportunities in the available tools
• Write detailed product requirements, strategy and planning documents aimed at both technical and non technical audiences to drive alignment on product development, set expectations on delivery of milestones and create predictable outcomes for workstreams
• Proactively engage, research and craft proposals for areas of the company where AI platform can drive efficiency and/or increase effectiveness
• Present to non technical leadership on the progress of the team quarterly, showcasing concrete steps forward in the results driven by the tools of the team and adoption of them throughout the company
• Oversee and guide build vs buy decisions, grounding them in data and research

Experience

• 7+ years of product management experience
• Experience driving technically complex products end to end, from inception, to launch with significant user adoption, to sunset
• Experience in managing (from product perspective) a team of software engineers and scientists, tracking the progress towards a roadmap through appropriate tools (Jira, Linear, Spreadsheets, Clickup etc)
• Experience in crafting data visualizations for the automated measurements of KPIs and metrics, starting from raw databases (SQL, Tableau, Looker, Mode, Python visualization packages etc)
• Familiarity with crafting and leading presentations to small groups at the CXO executives level and to big teams (100+ ppl) at an all hands like level in medium to large companies
• Ease in driving results and operating independently and with little supervision in flat structured organizations where approvals are not needed but results are closely monitored
• Strong understanding of agentic systems, context engineering, and multi-agent orchestration
• Strong conceptual knowledge of machine learning and AI; hands-on coding experience with standard libraries (e.g., PyTorch, Keras, Scikit-learn, XGBoost) is a plus
• Experience in handling third parties as vendors or customers and knowledge of Saas contract practices and software sales processes
• Excellent skills in documenting and articulating complex technical systems

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 with company match 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
• Monthly Lyft credits and complimentary Lyft Pink membership