Group Product Manager Ii, Pricing

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

Group Product Manager II for Lyft's Pricing team, focusing on leading product managers across four sub-teams (Planned Pricing, Dynamic Pricing & Offer Selection, Rider Engagement, Price Orchestration). The role involves setting product vision, strategy, and roadmaps for pricing lifecycle, impacting Gross Bookings and Adjusted EBITDA. Requires experience in algorithmic, data-driven, or marketplace products, team management, and a technical understanding of microeconomics, Operations Research, or Machine Learning.

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. Incorporate end-to-end impact of pricing decisions on riders, drivers, and ultimately on network growth
  5. Define short-term and long-term strategy to achieve those goals, setting your team's success metrics and roadmap to drive maximum impact

Skills

Required

  • 8+ years of product management or relevant experience
  • 2+ years of experience managing product managers
  • deep technical understanding of microeconomics, and ideally a background in Operations Research, Machine Learning, or algorithmic systems
  • Demonstrated 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

  • algorithmic, data-driven, or marketplace products
  • managing product managers
  • deep technical understanding of microeconomics, and ideally a background in Operations Research, Machine Learning, or algorithmic systems