Staff Product Manager I, Base Pricing

Lyft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$176,000–$220,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $198k
$166k $272k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $178,175–$243,525 — the blue band above. At the midpoint, this role pays about $198k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Lyft

Lyft is a transportation network company offering ride-hailing services across the US and Canada.

Lyft currently has 41 open roles on FindRole.

Listed pay typically runs $148,000–$185,000 across 36 roles with salary data.

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At a glance

TL;DR · Staff Product Manager I, Base Pricing

The Staff Product Manager I, Base Pricing joins the Rider Organization to own the vision and roadmap for the systems setting base prices for every ride type, region, and intent. This role involves managing a machine-learning and optimization stack that predicts marketplace responses, translates fulfillment costs into prices, and recommends weekly changes across hundreds of markets. You will define success metrics, improve optimization engine performance with downstream dynamic pricing systems, and evolve pricing for hybrid networks with autonomous vehicles. Key responsibilities include collaborating with engineers, scientists, and analysts to align on requirements and communicating results to executives. Required skills include experience with algorithmic, data-driven, or marketplace products, microeconomics, operations research, econometrics, machine learning, SQL, and statistical causal inference techniques for A/B testing and market-level experiments.

What does a Product Manager earn in New York?

Median $195400 from 300 postings across 40 companies.

See salary data

What you'll do

  • Own the vision and roadmap for how Lyft sets base prices across all ride types and regions.
  • Define success metrics to measure the effectiveness of base pricing systems.
  • Determine the optimal granularity for setting base prices by time, location, and trip type.
  • Improve the base price optimization engine to better respond to real-time market conditions.
  • Re-evaluate how the costs of fulfilling a ride impact final pricing.
  • Jointly optimize prices across standard, alternative, and scheduled ride portfolios.
  • Ensure impact estimation models are accurate and trusted by market management teams.
  • Evolve base pricing systems to function within a hybrid network of autonomous vehicles.

What we're looking for

  • 5+ years of product management or relevant experience in algorithmic, data-driven, pricing, or marketplace products.
  • Deep technical understanding of microeconomics.
  • Background in Operations Research, Econometrics, Machine Learning, or algorithmic systems (preferred).
  • Experience owning pricing, revenue management, or other economic levers with direct P&L impact.
  • Experience with price optimization, elasticity modeling, or cost modeling (preferred).
  • Experience running A/B tests and market-level experiments using statistical and causal inference techniques.
  • Experience with data, including querying, aggregation, analysis, and visualization, with proficiency in SQL.
  • Ability to manage ambiguity and complexity while communicating roadmaps and results to executive teams.

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