GPU Hardware Product Lead – AI Cloud

Neura Market; Bellevue (WA); On-site; USD 140,000 - 230,000; Full time

Job summary

Lambda is seeking a Senior Product Manager to own the GPU hardware roadmap, lead platform introductions, and translate customer demand into strategic investment. You will work with NVIDIA and ODM partners, define node configurations for large GPU clusters, and drive end-to-end execution from silicon roadmaps to sellable products.

You will collaborate with data center, supply chain, and infra teams to launch On-Demand GPU Instances and 1-Click Clusters, measure success with clear metrics, and

Qualifications

• 7+ years of product management experience on technical infrastructure, hardware, systems, or platform products; senior candidates should bring 10+ years and ownership of a multi-team or multi-product roadmap.
• Turn data and customer signal into a clear decision about what to build next, and can walk through examples where you saw the what and the so what, and determined the now what
• Have a track record of getting engineers, executives, and external partners to adopt a plan because you made them want to, not because you outranked them
• Have shipped products that required coordinating hardware, software, and operations teams against hard external deadlines
• Are fluent in technical conversations with hardware and systems engineers, and comfortable discussing GPU architectures, interconnects, memory, and data center constraints
• Have made hardware, capacity, or fleet investment recommendations that committed significant capital under uncertainty, and can walk through how the decision played out
• Write documents that lead with the conclusion and the evidence, not the background
• Able to define iterative plans that move an organization from the current state towards the desired outcome

Responsibilities

• Own the Hardware Roadmap: Define what GPU platforms Lambda offers, when, and at what configuration, from today's B200 and H200 class systems through next-generation NVIDIA platforms.
• Drive New Platform Introductions: Lead new NVIDIA platform introductions end to end, from early roadmap alignment through general availability as On-Demand GPU Instances and 1-Click Clusters.
• Translate Demand Into Investment: Turn customer demand signals and benchmark data into fleet investment recommendations, and defend those recommendations with executives and finance.
• Define Node and Cluster Configurations: Specify node configurations and InfiniBand fabric options for clusters from 64 to 1,024+ GPUs, working with infrastructure engineering to keep NCCL and MPI pre-configured and performant out of the box.
• Align Partner Roadmaps: Work directly with NVIDIA and ODM partners so Lambda's product plans and our partners' silicon and systems roadmaps land together, not months apart.
• Turn Silicon Into Product: Partner with data center, supply chain, and infrastructure engineering teams to convert silicon roadmaps into reliable, sellable SKUs with clear positioning and launch plans.
• Win Adoption: Bring engineers, designers, executives, and customers along with your roadmap through clear writing, honest data, and direct conversation.
• Ship, Measure, Iterate: Launch new hardware products, define the metrics that tell you whether they are working, and iterate on configuration and positioning based on what the data says.

Skills

Product management

Hardware

GPU

Roadmapping

Data analysis

Stakeholder management

Job description

Lambda is seeking a Senior Product Manager to own the GPU hardware roadmap, lead platform introductions, and translate customer demand into strategic investment. You will work with NVIDIA and ODM partners, define node configurations for large GPU clusters, and drive end-to-end execution from silicon roadmaps to sellable products.

You will collaborate with data center, supply chain, and infra teams to launch On-Demand GPU Instances and 1-Click Clusters, measure success with clear metrics, and