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Summit Group Solutions, LLC is seeking a Technical Product Manager to own networking for an AI cloud infrastructure control plane. You will define the networking strategy, roadmap, and feature priorities to enable scalable tenant networks across GPU clusters and AI workloads.
The role requires deep expertise in modern networking, SDN/overlay, and GPU-enabled data planes. You will collaborate with engineering, marketing, and field teams to shape requirements and wins in competitive GPU cloud
Our client is a Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, they empower platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, our client delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, they ensure that customers retain full control of their infrastructure strategy.
Our client is looking for a Technical Product Manager to own networking for their AI infrastructure control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the networking strategy, roadmap, and feature priorities that determine how operators deploy, segment, and scale tenant networks across GPU clusters running large-scale training and inference.
GPU cloud networking sits at the intersection of high-performance computing and multi-tenant cloud, and the product must hold both worlds together. You will shape how the platform reasons about collective communication libraries (NCCL, RCCL, NVSHMEM), lossless east-west fabrics over InfiniBand and RoCEv2, and the north-south path through BGP-driven underlays, multi-tenant overlays, and programmable dataplanes accelerated by DPUs and SmartNICs from NVIDIA, AMD Pensando, and the broader ecosystem. These layers are typically operated as disconnected silos. Your job is to make them a coherent, declarative product.
The ideal candidate brings strong technical fluency in classical networking and the AI stack. You will work directly with engineering to shape requirements, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals.
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