Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and and more GPUs. Launch on-demand instances or reserve a cluster. Get started.
About the role
You own product management for compute, storage, and networking at Lambda, which is the core of what Lambda sells. Engineering owns the systems, and you own the product definition, prioritization, pricing, packaging, and mechanisms that turn those systems into products customers buy, trust, and plan against. It is one of the most critical roles at Lambda.
More about this role
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.
You own product management for compute, storage, and networking at Lambda, which is the core of what Lambda sells. Engineering owns the systems, and you own the product definition, prioritization, pricing, packaging, and mechanisms that turn those systems into products customers buy, trust, and plan against. It is one of the most critical roles at Lambda.
Compute, storage, and networking each ship as separate AI Cloud primitives. However, we view it as important to have a single leader that can bring them together in a seamless experience for training runs and/or inference that touch all three services at once.
Hardware is what makes those...
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