Mirantis
Cloud Infrastructure
TechnicalProductManager,AICloudNetworking
Neural analysis suggests this role is
optimal for mid candidates.
“Technical Product Manager, AI Cloud Networking at Mirantis. Skills: AI Cloud Networking, Kubernetes, GPU Infrastructure, Networking Strategy, Product Management. Own the vision, roadmap, and priorities for k0rdent AI networking. Define how customers design, automate, and operate every aspect of their network, including underlay fabric management, tenant connectivity, RDMA, DNS/IPAM”
What You'll Achieve.
Define the networking strategy, roadmap, and feature priorities; Ship secure, scalable, reliable networking capabilities; Convert technical depth into wins in competitive GPU cloud and NeoCloud deals
Industry & Context.
What They're Looking For.
Must Have
5+ years in product management, technical product management, or a senior technical role owning a networking product, platform, or large-scale automated network, Hands-on familiarity with BGP, VXLAN/EVPN, VRFs, OVS/OVN, SR-IOV, RDMA/RoCEv2 or InfiniBand, and DNS/IPAM at scale, Fluency in Linux networking, Kubernetes networking, SDN/overlay networking, hyperscale or service provider networking, or network automation, Hands-on experience with modern GPU cluster networking, including rail-optimized fabric design, GPUDirect RDMA and collective communication tuning (NCCL, RCCL, NVSHMEM), and DPU/SmartNIC offload
What You'll Do.
and priorities for k0rdent AI networking
Define how customers design
and operate every aspect of their network
including underlay fabric management
Translate requirements from NeoClouds
and enterprise platform teams into clear product direction
Manage the networking backlog
using feedback from production deployments and design partners to refine roadmap priorities and positioning
and competitive differentiation for k0rdent AI networking
Create field-facing assets
including technical briefs
and reference architectures
Support strategic accounts as the networking product lead
Represent Mirantis at events
and customer advisory boards
and ecosystem partners on reference architecture alignment
How You'll Work.
Team & Collaboration
Work directly with engineering to shape requirements; Work with marketing to sharpen positioning; Work with field teams to convert technical depth into wins; Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable networking capabilities; Collaborate with a world-class, distributed team committed to openness and technical excellence
Communication Scope
Sharpen positioning; Create field-facing assets; Represent Mirantis at events, analyst briefings, and customer advisory boards
Process & Methodology
Manage the networking backlog
Full Job Description
About Mirantis Mirantis is the 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, Mirantis empowers 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, Mirantis 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, Mirantis ensures that customers retain full control of their infrastructure strategy. Mirantis is looking for aTechnical Product Manager to own networking for k0rdent AI, our 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 k0rdent AI 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 s
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