LambdaはStaff Product Manager - Billingを募集しています。7年以上のプロダクトマネジメント経験とプラットフォーム/インフラ製品の経験が必須です。GPUクラウドの課金プラットフォームを統括し、メータリングの正確性を担保しながら収益化システムを拡張します。財務やエンジニアリングチームと連携し、複雑な課金課題を解決できる方を求めています。
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. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
Lambda runs a usage-based GPU (Graphics Processing Unit) cloud at significant and fast-growing scale, and the Billing platform is the system of record for all of it. Metering a large GPU fleet accurately is a hard distributed-systems problem wrapped in a hard product problem, and it has to be right every time, because customers choose Lambda in part because they can trust the bill. Transparent, predictable pricing with no egress fees is a core reason customers pick us over hyperscaler clouds, and this role is where that promise gets engineered into the product.
As Product Manager, Billing, you'll own the full monetization surface. You'll partner daily with finance on revenue correctness, with platform engineering on the metering and billing pipeline, and with go-to-market teams on how pricing and packaging show up to customers.
Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep billing domain experience is a plus.
If you love problems where fintech-grade correctness meets developer experience, and you want your work to touch every dollar a fast-growing AI cloud earns, we'd love to hear from you.
We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.
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.
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
Win engineers, designers, finance partners, executives, and customers over to your ideas by making the case, not by outranking them
Have taken products from ambiguous problem statement through launch, measurement, and iteration, repeatedly
Are comfortable reasoning about distributed systems concepts that billing correctness depends on, such as event pipelines, idempotency, and reconciliation
Can work fluently with finance stakeholders on revenue recognition, invoicing, and audit requirements without losing the customer's perspective
Write product documents that state the problem, the evidence, and the decision in a form others can act on
Able to define iterative plans that move an organization from the current state towards the desired outcome
Have built billing, metering, or monetization platforms, especially for usage-based pricing
Have a background in fintech or payments where correctness carried financial and regulatory consequences
Have worked on cloud cost management or spend visibility products
Are familiar with GPU cloud or AI infrastructure and how customers consume it
Are fluent in SQL (Structured Query Language) or similar tools for independent data analysis
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
