Principal Product Manager - Nvidia Technology Partnerships
Lambda· Data Center Business
Hybrid (Bellevue Office), Hybrid (San Francisco Office (Fremont St))$338k - $450kFull-timePosted 1w ago
About the role
Lambda seeks a Principal Product Manager to manage NVIDIA technology partnerships, own cross-company initiatives, and translate joint efforts into market-ready products and deployments across On-Demand GPU Instances, 1-Click Clusters, and private cloud deployments.
Responsibilities
- 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. 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.
- 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, since most of what comes through this relationship lands in their areas.
Qualifications
- 10+ years of product management experience, including time at a cloud provider, systems company, or silicon vendor.
- Owned a strategic technology partnership where two companies built things together rather than only bought and sold.
- 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.
- Made adoption decisions with meaningful capital and engineering cost behind them, and can explain the ones you got wrong.
- 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.
Skills
Required:Strategic technology partnership managementRoadmap interpretation for hardware-software ecosystemsCross-functional leadershipTechnical communication with hardware teams
Benefits
- 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 that we all actually use
- generous cash & equity compensation
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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