The opportunity
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.
What you'll do
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
What they're looking for
- 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.
- + 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
