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About the Role
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. 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
- Own the vision and roadmap for how Lyft sets base prices, and define the success metrics that measure it.
- Determine the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip).
- Improve how our base price optimization engine works with downstream dynamic pricing systems to better respond to real-time market conditions.
- Re-evaluate how costs to fulfill a ride impact prices.
- Jointly optimize prices across ride types, so that standard, alternative modes, and scheduled rides are priced as one portfolio.
- Make impact estimation models accurate and trusted by market management teams.
- Evolve 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.
Requirements
- 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.
Skills
- Algorithmic
- Data-driven
- Pricing
- Marketplace products
- Microeconomics
- Operations Research
- Econometrics
- Machine Learning
- Algorithmic systems
- Pricing
- Revenue management
- Economic levers
- P&L impact
- Price optimization
- Elasticity modeling
- Cost modeling
- A/B tests
- Market-level experiments
- Statistical and causal inference techniques
- Data analysis
- SQL
- Model design
- Metrics definition
- Product ecosystem dynamics
- Ambiguity management
- Complexity management
- Interdependency management
- Communication strategy
Location
- Toronto
Work Type
- Hybrid
- In-office
Experience Level
- Staff
Salary/Compensations
- CAD $172,000 - CAD $215,000
Benefits
- Extended health and dental coverage options
- Life insurance
- Disability benefits
- Mental health benefits
- Family building benefits
- Child care benefits
- Pet benefits
- Lyft funded Health Care Savings Account
- RRSP plan with company match
- Flexible paid time off policy (salaried team members)
- 15 days paid time off plus an additional day for each year of service (hourly team members)
- 18 weeks of paid time off for new parents (biological, adoptive, and foster parents)
- Subsidized commuter benefits
- Lyft ride credits
About the Company
- Lyft connects people to transportation to change the way we live and get around our communities.
- Lyft's purpose is to serve and connect.
- 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.
- Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.
- Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
- This job fills an existing vacancy.
Equal Opportunity
- 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.