About the role
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 a Technical 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 shape
requirements, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals.
