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Staff Product Manager I, Base Pricing

Lyft

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Questions you are likely to be asked

  1. Why do you want to join Lyft?
  2. What is your experience with Product management? Tell me one thing you learned the hard way.
  3. Tell me about a product decision you made with incomplete data.
  4. How do you decide what goes into the next release and what waits?
  5. Walk me through a feature you shipped. How did you know it worked?

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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft connects people to transportation to change the way we live and get around our communities. 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. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry.

Pricing is the primary economic engine of Lyft's marketplace — a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft's sustainable growth. 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. Behind these base prices is a machine-learning and optimization stack that predicts how the Lyft marketplace responds to price, translates the cost of serving a ride into a price, and recommends price changes across hundreds of markets every week. Base prices are the foundation of every fare, and they set the reference point that dynamic pricing and rider discounts build on.

The team serves two sets of customers: riders, who should see prices that are fair, competitive, and matched to what they value; and the analysts and market managers who use our models and tools to set pricing strategy.

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. That includes:

Experience:

Benefits:

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $172,000 - CAD $215,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

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Listed on greenhouse · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Lyft, not by us.