Group Product Manager Ii, Pricing

Lyft Lyft · Consumer · New York, NY +1 · Pricing

Lyft is seeking a Group Product Manager II for their Pricing team. This role will lead a team of product managers responsible for the full pricing lifecycle, including planned pricing, dynamic pricing, rider engagement offers, and the pricing platform infrastructure. The role requires a deep technical understanding of microeconomics, operations research, or machine learning, and experience managing product managers. Key priorities include optimizing pricing portfolios, preparing for autonomous vehicles, advancing personalized offers through applied AI, and increasing pricing precision.

What you'd actually do

  1. Manage and grow a team of product managers, providing development, mentorship, and coaching to help them achieve their goals and Lyft's goals
  2. Be the product leader driving the strategic product and technology vision for Pricing — owning the system that directly impacts Gross Bookings, Active Riders, and Adjusted EBITDA Margin
  3. Set and align on business goals for pricing optimization with executives and business teams (e.g., what are we optimizing for and how does this vary by market, product, use case)
  4. Define short-term and long-term strategy to achieve those goals, setting your team's success metrics and roadmap to drive maximum impact
  5. Develop and execute a product roadmap via close collaboration with senior leadership, Finance, Data Science, Analytics, Design, Marketing, Engineering, Legal, and Policy

Skills

Required

  • 8+ years of product management or relevant experience
  • 2+ years of experience managing product managers
  • Deep technical understanding of microeconomics, Operations Research, Machine Learning, or algorithmic systems
  • Experience managing and growing a high performing team of product managers
  • Experience working in deep product domains
  • Strong communication, presentation, and stakeholder management skills
  • Ability to dive deep into complex technical concepts
  • Experience running A/B tests and using common statistical techniques to evaluate results

Nice to have

  • Passion for Lyft and what we are trying to achieve in sustainable urban transportation

What the JD emphasized

  • significant time spent on algorithmic, data-driven, or marketplace products
  • deep technical understanding of microeconomics, and ideally a background in Operations Research, Machine Learning, or algorithmic systems
  • using data and experimentation to guide a large cross-functional team towards a long-term vision

Other signals

  • pricing platform
  • personalized offers
  • applied AI
  • autonomous vehicles