Lambda

Staff Product Manager Compute (GPU/CPU)

In short

This role defines and evolves cloud compute products covering GPU and CPU instances, capacity, provisioning, placement, and performance isolation for a cloud compute provider. It involves setting pricing, packaging, and commitment terms across NVIDIA GPU generations, and partnering with engineering teams on compute primitives like On-Demand GPU Instances and 1-Click Clusters. The role requires 7+ years of product management experience including compute platform work at a hyperscaler, neocloud, or comparable cloud provider, plus deep knowledge of GPU/CPU infrastructure, failure handling, and capacity economics. It is a hybrid position based in the United States.

About the Role
You will define and evolve cloud compute products spanning GPU and CPU instance families, capacity, provisioning, placement, performance isolation, and operational behavior. You will turn customer, technical, and commercial input into clear requirements, make product trade-offs, guide delivery with engineering, prepare launches, and measure adoption and utilization after release.
Requirements
•7+ years of product management experience, including compute platform experience at a hyperscaler, neocloud, or comparable cloud provider
•Experience shipping compute primitives used by external customers at scale
•Knowledge of GPU and CPU infrastructure, hardware failures, placement, and performance
•Experience owning products through failure handling and maintenance
•Experience owning infrastructure-product pricing, packaging, or commitment terms
•Knowledge of utilization and capacity economics
•Ability to create iterative plans and turn ambiguous inputs into product definitions
•Strong written communication and decision-making skills
Responsibilities
•Identify customer problems affecting On-Demand GPU Instances and 1-Click Clusters
•Prioritize and sequence compute product work
•Write product requirements, user stories, and acceptance criteria
•Define pricing, packaging, and commitment terms across NVIDIA GPU generations
•Partner with compute and control plane teams to deliver products
•Set launch criteria and coordinate documentation, pricing, sales, and support readiness
•Measure adoption and utilization and iterate on products
•Own decisions on contested product trade-offs
•Coordinate compute work with storage, networking, orchestration, and commerce stakeholders
Benefits
•Equity compensation
•Health, dental, and vision coverage for employees and dependents
•Wellness and commuter stipends for select roles
•401k plan with 2% company match for USA employees
•Flexible paid time off

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot