AI Cloud Networking PM — GPU Infra & SDN

Summit Group Solutions, LLC

United States

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Stock options
Competitive compensation
Professional development
Conference participation

Job summary

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

Qualifications

  • 5+ years in product or senior technical roles owning a networking product.
  • Hands-on with BGP, VXLAN/EVPN, VRFs, OVS/OVN, SR-IOV, RDMA/RoCEv2 or InfiniBand.
  • Fluency in Linux/Kubernetes networking and SDN/overlay networking.

Responsibilities

  • Own the vision, roadmap, and priorities for the platform's networking.
  • Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise teams into clear product direction.
  • Partner with engineering to define requirements, evaluate trade-offs, and ship secure, scalable networking capabilities.
  • Manage the networking backlog, refining roadmap priorities and positioning.
  • Define positioning, packaging, and competitive differentiation for the networking.

Skills

Product management
Technical product management
Networking
Kubernetes networking
GPU networking
Linux networking
RDMA/InfiniBand

Tools

BGP
VXLAN/EVPN
OVS/OVN
SR-IOV
InfiniBand
RDMA/RoCEv2
DNS/IPAM
GPUDirect RDMA
NCCL/RCCL/NVSHMEM

Job description

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

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