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Staff Product Manager - Compute
Lambda Labs · Bellevue, WA · Posted 27 days ago
Own the compute layer for an AI-focused cloud provider, shipping GPU/CPU infrastructure primitives that compete with hyperscalers.
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.
Compute is the product at Lambda. Customers come to us for graphics processing units (GPUs) they can get, hold, and run hard, and nearly everything else we sell depends on the compute layer working well.
As a product manager on the Compute team, you will own a meaningful part of defining the future of how we provide compute to our customers. The domain covers the shape of what customers rent, meaning instance families, sizes, and tenancy, across both GPUs and central processing units (CPUs). It covers how customers get capacity and hold onto it. It covers what they build production automation against, and how fast and predictably that behaves. It covers what happens once the workload is running, which means placement, performance isolation, hardware failure, maintenance, and the signals customers need to run their own operations. You will work across these areas depending on which customer needs are burning hottest.
Most of this is the feature set a mature compute cloud already has and Lambda does not have yet. A neocloud is not a hyperscaler, though, and copying that list wholesale is the wrong instinct. Part of the job is judgment about which of those capabilities matter here and which carry cost we should not pay. The other part is deciding where serving AI workloads well means building something the hyperscalers never needed.
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This posting is sourced from Lambda Labs's own career site — applying takes you there directly.
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This role is one of 2,415 Product Manager openings and centers on Product Management, Cloud Computing, Gpu Infrastructure, and Cpu Architecture. There are 101 open roles at Lambda Labs right now.
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