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About the Role
Lyft is seeking 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.
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.
Location
- NYC area
Work Type
- Hybrid
- In-office
Experience Level
- Staff
Salary/Compensations
- $176,000 - $220,000
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
- Discretionary paid time off for salaried team members
- 15 days paid time off for hourly team members
- 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
About the Company
- Lyft connects people to transportation to change the way we live and get around our communities.
- Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.
Equal Opportunity
- 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.