The opportunity
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers.
What you'll do
Own the Metering Pipeline: Define product requirements for per-minute usage metering across Lambda's on-demand GPU fleet, including accuracy standards, reconciliation, and how the system behaves during instance lifecycle edge cases.
Build Billing for Both Motions: Ship billing that works for self-serve, per-minute on-demand customers and for sales-led committed contracts on 1-Click Clusters running 64 to 1,024+ GPUs, on one coherent platform.
Protect Billing Accuracy: Define correctness as a product requirement, drive reconciliation and audit mechanisms with finance and platform engineering, and treat a wrong invoice as a launch-blocking defect.
Drive the Credits and Invoicing Lifecycle: Own how credits are granted, consumed, and expire, and how invoices are generated, delivered, and disputed, end to end.
Make Pricing Changes Shippable: Partner with finance and go-to-market so that new instance types, contract structures, and pricing updates can launch quickly without compromising revenue integrity.
Extend Billing Through the Lambda Cloud API: Define usage and billing surfaces in Lambda's public API so customers can pull spend data into their own tooling programmatically.
What they're looking for
- Extend into Commerce as a Platform: Billing doesn’t stop when you rate a metering dimension, it extends into areas like Fraud detection and prevention, managing bad debt, and other financial tradeoffs. In this role, you will work to productize these types of dimensions too and work with other PMs and engineering leaders in the places that overlap like alarming when a bill reaches particular thresholds.
- Measure and Iterate: Instrument the billing experience, watch where customers get confused or surprised, and ship improvements on a tight loop.
- Have 7+ years of product management experience, including 2+ years on: platform, infrastructure, or other technical products
- Turn usage patterns, revenue reports, and support tickets into a clear: decision about what to build next, and why now
