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
Find the Real Problem: Get close to customers, deals, escalations, and support on On-Demand GPU Instances and 1-Click Clusters, and work out what is actually blocking them rather than what they asked for.
Decide What Matters: Rank the work and sequence it, and be honest about what Lambda is not doing this year and why.
Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering builds from them without a translation layer.
Price and Package It: Decide how your part of compute is priced, packaged, and committed to across NVIDIA GPU generations, and how customers compare the options.
Deliver With Engineering: Work through the build with the compute and control plane teams, make the tradeoff calls that come up mid-flight, and keep scope honest against the date.
Land the Launch: Set launch criteria that cover the operational readiness an infrastructure product needs, and get documentation, pricing, sales, and support in place before it goes live rather than after.
What they're looking for
- Measure and Iterate: Define what success looks like before launch, then go find out whether it happened, using adoption and utilization rather than opinion.
- Make the Call Stick: Take a position on contested tradeoffs, write it down well enough that people can disagree with it precisely, and keep owning the decision after it is made.
- Work as a Group: Partner with the other product managers on compute and with the teams that own storage, networking, orchestration, and commerce, so the pieces land as one product.
- Have 7+ years of product management experience, including time on a compute: platform at a hyperscaler, neocloud, or comparable cloud provider.