Staff Product Manager, Lyft AI Platform & Marketplace Applications

Lyft Lyft · Consumer · San Francisco, CA · Central Market Management & AI

Product Manager for Lyft's AI Platform and Marketplace Applications, focusing on Agentic AI products. The role involves defining roadmaps, understanding user needs, evangelizing AI offerings, and identifying opportunities for AI to drive efficiency and effectiveness across the company. Requires strong understanding of agentic systems and conceptual knowledge of ML/AI.

What you'd actually do

  1. Define, own and execute the roadmap of the AI platform and AI-powered marketplace products
  2. 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
  3. 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
  4. 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
  5. Proactively engage, research and craft proposals for areas of the company where AI platform can drive efficiency and/or increase effectiveness

Skills

Required

  • 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
  • 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.

Nice to have

  • hands-on coding experience with standard libraries (e.g., PyTorch, Keras, Scikit-learn, XGBoost) is a plus

What the JD emphasized

  • Strong understanding of agentic systems, context engineering, and multi-agent orchestration
  • Strong conceptual knowledge of machine learning and AI

Other signals

  • AI platform
  • Agentic AI product
  • evaluate opportunities and prospective use cases
  • accelerate decision-making
  • evangelize adoption