Staff Product Manager - Storage & Networking
Lambda· Data Center Business
Hybrid (Bellevue Office)$291k - $387kFull-timePosted 1w ago
About the role
Product management role focusing on foundational infrastructure for storage and networking to enable data movement to GPUs in Lambda's AI cloud. Owns domains related to where customer data lives, how it is transferred to GPUs, and related pricing, packaging, metering, and performance.
Responsibilities
- 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 on data and connectivity rather than what they asked for.
- Decide What Matters: Rank and sequence the work in front of you across storage and networking, and be honest about what Lambda is not doing this year and why.
- Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering builds from them without a translation layer.
- Price and Package It: Decide how storage and data transfer are metered, priced, and packaged across Lambda's public and private cloud offerings, and how customers compare the options.
- Deliver With Engineering: Work through the build with the storage and networking 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.
- Measure and Iterate: Define what success looks like before launch, then go find out whether it happened, using adoption and real workload performance rather than opinion.
- Make the Call Stick: Take a position on contested tradeoffs, write it down well enough that people can disagree with it precisely, and keep owning the decision after it is made.
- Work as a Group: Partner with the other product managers on foundational infrastructure and with the teams that own compute, orchestration, security, and commerce, so the pieces land as one product.
Qualifications
- 7+ years of product management experience, including time on storage or networking products at a hyperscaler, neocloud, or comparable cloud provider
- Shipped infrastructure products that external customers ran production workloads on, in object, file, or block storage, or in virtual networking, load balancing, or connectivity
- Depth in one domain and breadth in the other to make decisions, plus appetite to close the gap quickly
- Understanding of how data movement and network behavior show up as performance for distributed training and large-scale inference
- Owned pricing, packaging, or metering for an infrastructure product
- Able to translate hyperscaler playbooks to an AI cloud context and justify costs
- Ability to define iterative plans moving an organization from current state to desired outcome
- Ability to turn ambiguous inputs into a clear product definition for multiple teams
- Communication: clear written and verbal communication to diverse stakeholders
Skills
Required:Product managementStorage (object/file/block)Networking (virtual networks, load balancing, connectivity)Pricing/metering/packaging
Benefits
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match
- Flexible paid time off plan
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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