Lambda
Principal Product Manager - Nvidia Technology Partnerships
Bellevue Office · Principal
Sponsorship not specifiedDetected 8 days ago
ReactCloud PlatformsMachine LearningProduct ManagementResearch
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- As a product manager on the Foundational Infrastructure team, you stay current on where NVIDIA's hardware and software roadmap is heading and decide what Lambda should do about it.
- Some of it we should pass on, and saying so early and clearly saves the company a great deal of work.
- You make that call with the evidence behind it, then route what we do take on to the product and engineering owners who will carry it.
Responsibilities
- Own the Relationship: Be the single point of contact both companies call. Route incoming requests to the right product and engineering owners and close the loop rather than letting things sit.
- Run the Joint Work: Own the product side of what the two companies build together, including scope and what done means.
- Bring the Partner View to Hardware: Work alongside Lambda's hardware product managers as new NVIDIA GPU generations move from evaluation into production, so the platform decisions they own are made with the best picture of what is coming.
- Write the Definition: Turn what comes out of the relationship into requirements, user stories, and acceptance criteria Lambda engineering can build from without a translation layer.
- Say No Clearly: Tell a partner what Lambda will not do and why, early and plainly enough that the relationship is better for it rather than worse.
- Work as a Group: Partner with the product managers who own compute, storage, networking, orchestration, and security, since most of what comes through this relationship lands in their areas.
- Understand GPU platforms well enough to hold a real technical conversation with the people who design them.
- 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 held a relationship like this before and know that the hard part is the judgment rather than the meetings, we'd love to hear from you.
Nice to have
- Experience with GPU or accelerator platforms, including how a new generation moves through qualification into production.
- Experience treating data center power, cooling, or density as product inputs rather than someone else's problem.
- Prior work at a GPU cloud, hyperscaler, or AI infrastructure company.
- 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.
- Deep hardware platform or infrastructure software experience at a cloud provider, silicon vendor, or systems company is highly desired.
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.
- 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.
- Turn Adoption Into Product: Take what Lambda adopts from NVIDIA the whole way into something customers can buy, including packaging, pricing, and launch criteria.
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.