Lyft
Mid
Own the claims P&L: turn a multi-billion-dollar cost center into a product
Lyft is hiring a PM to own the end-to-end claims experience inside its Risk Solutions org — from accident reporting to insurance-partner handoffs to getting drivers back on the road. Insurance is Lyft's largest variable cost, so this PM sits close to a multi-billion-dollar P&L and is expected to shape carrier strategy, not just ship features.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- End-to-end claims process design (accident report → carrier handoff → driver back on road)
- Using ML/AI/LLM tooling on large claims + telematics datasets for accuracy/speed gains
- Reasoning about a multi-billion-dollar insurance P&L and variable cost
- Cross-functional execution: OKRs, roadmap tracking, stakeholder alignment
- Insurance carrier / technology partner strategy conversations
- Post-launch optimization and testing strategy
Common question themes
Tell me about a time you drove a product decision using a large, messy dataset.
How would you improve the claims-to-payout cycle time without increasing fraud risk?
Describe how you've communicated a roadmap tradeoff to both engineers and executives.
How do you decide which parts of a claims workflow to automate with ML/LLM tools versus keep human-in-the-loop?
Tell me about a cross-functional conflict with a partner team and how you resolved it.
How would you define success metrics for a claims product with no existing baseline?
Related interviews
Lyft
Mid
Data Scientist, Algorithms, Optimization - Fulfillment
Lyft
Senior
Data Science Manager, Machine Learning - Lyft Ads
Lyft
Mid
Data Scientist, Decisions - Central Market Management
Airbnb
Senior
Senior Platform Manager, Trust and Safety
Databricks
Senior
Sr. Product Manager, Databricks Free Edition
Linear
Senior