Lambda
Staff Product Manager - Compute
Bellevue Office · Staff+
Sponsorship not specifiedDetected 7 days ago
Node.jsCloud PlatformsMachine LearningProduct ManagementEmbedded SystemsResearch
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About the role
- 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.
- 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.
Responsibilities
- Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering builds from them without a translation layer.
- 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.
- 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.
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
Requirements
- If you have built compute primitives at a cloud provider and want to do it again somewhere the answers are not settled, we'd love to hear from you.
Nice to have
- Experience with interruptible or preemptible capacity, or with reservations and committed use products.
- 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, including what a provider can honestly guarantee.
- Experience with bare metal or dedicated host products, including isolation between tenants.
- Experience with distributed training or large-scale inference workloads and what they demand of the compute layer.
- 401k Plan with 2% company match (USA employees)
Skills
- Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
- One person, one GPU.
- Most of this is the feature set a mature compute cloud already has and Lambda does not have yet.
Compensation
- The annual salary range for this position has been set based on market data and other factors.
- However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
- We offer generous cash & equity compensation
Benefits
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- Flexible paid time off plan that we all actually use
Company info
- 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.
- 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.
- Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it.
- But a great idea that everyone is excited about doesn't matter unless it is delivered to customers.
- 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.
- 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.
- Have shipped compute primitives that external customers used at scale, like instance types, capacity products, provisioning interfaces, or placement and isolation controls.
- Have owned a product where day two behavior mattered as much as launch, including failure handling, maintenance, and what customers are told when something breaks.
Equal opportunity
- Lambda is an Equal Opportunity employer.
- Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
- Equal Opportunity Employer
Visa & Work Authorization
- ational origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law
This listing is sourced directly from Lambda's careers page and normalized into a canonical job model.