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From the employer's careers site First seen 7 Nov 2026

Staff Product Manager I, Base Pricing

Lyft Toronto Hybrid staff full-time

Salary

CAD $172,000 - CAD $215,000 per year

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Description

At Lyft, our purpose is to serve and connect.

We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best-in-class product.

Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation.

The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization.

The Base Pricing Team owns the systems that set the base price of a Lyft ride for every ride type, region, and ride intent.

Responsibilities:

As the Staff Product Manager for Base Pricing, you will own the vision and roadmap for how Lyft sets base prices, and define the success metrics that measure it.

Responsibilities include:

  • Determining the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip)
  • Improving how the base price optimization engine works with downstream dynamic pricing systems to better respond to real-time market conditions
  • Re-evaluating how costs to fulfill a ride impact prices
  • Jointly optimizing prices across ride types, so that standard, alternative modes, and scheduled rides are priced as one portfolio
  • Making impact estimation models accurate and trusted by market management teams
  • Evolving base pricing to function in a hybrid network with autonomous vehicles
  • Working closely with cross-functional stakeholders (engineers, scientists, analysts), and partner teams (Driver Earnings, Verticals, Market Management) to align on a shared vision, define requirements, and prioritize inbound requests
  • Communicating roadmaps, experiment results, and pricing decisions clearly to audiences from partner teams up to Lyft's executive team

Experience:

Requirements include:

  • 5+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, pricing, or marketplace products
  • A deep technical understanding of microeconomics, and ideally a background in Operations Research, Econometrics, Machine Learning, or algorithmic systems
  • Experience owning pricing, revenue management, or other economic levers with direct P&L impact; experience with price optimization, elasticity modeling, or cost modeling is a strong plus
  • Experience running A/B tests and market-level experiments, using statistical and causal inference techniques to evaluate results, and developing post-launch testing strategies
  • Experience with data, including querying, aggregation, analysis, and visualization; comfortable working directly in SQL and with data science partners on model design
  • Ability to define and analyze metrics that inform the success of products, and excellent judgment about the dynamics of a product ecosystem
  • Natural ability to make things happen around you; managing ambiguity, complexity, and interdependencies across many teams in an organized and structured way
  • Strong communication skills and intuition for communication strategy at every level , within teams, within the company, and with executives
  • Passion for Lyft and what we are trying to achieve in sustainable urban transportation

Benefits:

Benefits include:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft-funded Health Care Savings Account
  • RRSP plan with company match to help save for your future
  • Flexible paid time off policy
  • Subsidized commuter benefits and Lyft ride credits

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Skills

Required

  • microeconomics
  • Operations Research
  • Econometrics
  • Machine Learning
  • algorithmic systems
  • price optimization
  • elasticity modeling
  • cost modeling
  • SQL
  • data science

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/lyft/jobs/8927146002

Apply on Lyft