Principal Product Manager - Nvidia Technology Partnerships

Bellevue · San Francisco Office (Fremont St) · 10+ years experience · Full-time · Hybrid · Posted Oct 8, 2026

At a glance

- Founded in 2012, with 500+ employees, and growing fast
- 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
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents

Lambda is seeking a Principal Product Manager - Nvidia Technology Partnerships to manage the crucial relationship and strategic integration with NVIDIA for AI cloud infrastructure.
Working on the Foundational Infrastructure team, this role evaluates NVIDIA's hardware and software roadmaps, decides what to adopt or pass on, and drives joint engineering programs.
The position requires presence in the Bellevue or San Francisco office 4 days per week.

Track the Roadmap: Stay far enough ahead of where NVIDIA's hardware and software is going that Lambda can plan against it rather than react to it.
Decide What Lambda Takes From NVIDIA: Call which of their new hardware and software Lambda should productize into On-Demand GPU Instances, 1-Click Clusters, and private cloud deployments, and which to pass on, with the reasoning written down.
Turn Adoption Into Product: Take what Lambda adopts from NVIDIA the whole way into something customers can buy, including packaging, pricing, and launch criteria.
Own the Relationship: Be the single point of contact both companies call and route incoming requests to the right product and engineering owners.
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.
Write the Definition: Turn what comes out of the relationship into requirements, user stories, and acceptance criteria Lambda engineering can build from.
Say No Clearly: Tell a partner what Lambda will not do and why, early and plainly enough.
Measure the Call: Decide what a good adoption decision looks like before you make it, then go back and check whether it paid off.
Work as a Group: Partner with the product managers who own compute, storage, networking, orchestration, and security.

Have 10+ years of product management experience, including time at a cloud provider, systems company, or silicon vendor.
Have owned a strategic technology partnership where two companies built things together rather than only bought and sold.
Can read a silicon and systems roadmap and judge what it means for a cloud business, including what is worth adopting and what is not.
Understand GPU platforms well enough to hold a real technical conversation with the people who design them.
Have made adoption decisions with meaningful capital and engineering cost behind them, and can explain the ones you got wrong.
Have run a program where an outside company's engineers and your own had to land the same thing at the same time.
Can say no to a powerful counterpart and keep the relationship.
Able to define iterative plans that move an organization from the current state towards the desired outcome.
Communicate plainly, write well, and make decisions easier for people who do not all share the same context.

Experience with GPU or accelerator platforms, including how a new generation moves through qualification into production.
Experience evaluating a silicon or systems vendor's pre-release technology and deciding whether to build on it.
Experience treating data center power, cooling, or density as product inputs rather than someone else's problem.
Experience evaluating infrastructure software for adoption, including the build, buy, or partner decision.
Experience running a co-development program with an external partner.
Prior work at a GPU cloud, hyperscaler, or AI infrastructure company.

This position requires presence in our Bellevue or San Francisco office location 4 days per week.
Lambda's designated work from home day is currently Tuesday.