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Lyft

Staff Product Manager I, Base Pricing

Lyft is hiring a Staff Product Manager I, Base Pricing in San Francisco, United States. It pays $176k-$220k a year and Level rates it ; you can apply on Lyft.

Level's read on this job

  • Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts in line with the typical AI product manager posting on Level.
  • The posting mentions Python, SQL and product management among its tools and skills.
  • Lyft has 167 other open roles on Level.
  • Posted within the past week.

AI in this role

Lead product strategy and roadmap for machine-learning-driven base pricing and optimization systems at Lyft.

pythonsql
product-managementpricing-strategymachine-learningoptimizationmarketplace-dynamics

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:

  • Determining the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip)
  • Improving how our 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 our impact estimation models accurate and trusted by market management teams
  • Evolving base pricing to function in a hybrid network with autonomous vehicles
  • Work 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.
  • Communicate roadmaps, experiment results, and pricing decisions clearly to audiences from partner teams up to Lyft's executive team.

Experience:

  • 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; you manage 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:

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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 3 days per week 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 San Francisco area is $176,000 - $220,000, 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.

How we rate this

Staff Product Manager I, Base Pricing at Lyft rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementPricing StrategyMachine learningOptimizationMarketplace DynamicsPythonSQL

Also common in AI product manager jobs at this level

Pay

This job starts at
$176k
Typical AI product manager job
$179k

This posting starts close to the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where pricing strategy was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where optimization was part of your work. What did you do?
  5. Tell me about a project where marketplace dynamics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Product Management, Pricing Strategy, Machine learning, Optimization, and Marketplace Dynamics. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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