Staff Product Manager - Compute

The role

You will define the future of compute by managing instance families, sizes, tenancy, and capacity across GPUs and CPUs. You will work with engineering and other product teams to deliver infrastructure features including placement, performance isolation, and maintenance.

What you will do

• Find the real problem by working close to customers, deals, escalations, and support.
• Rank and sequence work and decide what the company is not doing.
• Produce requirements, user stories, and acceptance criteria.
• Decide how compute is priced, packaged, and committed to across NVIDIA GPU generations.
• Work with compute and control plane teams to deliver builds and make tradeoff calls.
• Set launch criteria and ensure documentation, pricing, sales, and support are ready.
• Define success metrics and measure adoption and utilization.
• Take positions on contested tradeoffs and own the decisions.
• Partner with product managers on compute and teams owning storage, networking, orchestration, and commerce.

Required qualifications

• 7+ years of product management experience, including time on a compute platform at a hyperscaler, neocloud, or comparable cloud provider.
• Shipped compute primitives that external customers used at scale, like instance types, capacity products, provisioning interfaces, or placement and isolation controls.
• Understand GPU and CPU infrastructure well enough to reason with engineers about launch paths, hardware failure modes, placement, and performance.
• Owned a product where day two behavior mattered as much as launch, including failure handling, maintenance, and customer communication during breaks.
• Owned pricing, packaging, or commitment terms for an infrastructure product.
• Can tell which parts of a hyperscaler playbook transfer to an AI cloud and which are cost without benefit.
• Can reason about utilization and capacity economics.
• Able to define iterative plans that move an organization from the current state towards the desired outcome.
• Can turn ambiguous customer, technical, and commercial inputs into product definition.
• Communicate plainly, write well, and make decisions easier for people.

Nice to have

• Experience with interruptible or preemptible capacity, or with reservations and committed use products.
• Experience with the surfaces customers automate against, like public APIs, infrastructure as code providers, machine images, or snapshots.
• Experience with hardware failure handling across a large hardware footprint, like spare pools, node replacement, or fault containment.
• Experience with performance isolation and placement on shared hardware.
• Experience with bare metal or dedicated host products, including isolation between tenants.
• Experience with distributed training or large-scale inference workloads.
• Deep compute platform experience at a hyperscaler or neocloud, across both GPUs and CPUs.

Benefits

• 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

About the company

Lambda is a leader in AI cloud infrastructure serving tens of thousands of customers, from AI researchers to enterprises and hyperscalers. Founded in 2012, the company has 500+ employees and is growing fast.