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.
Responsibilities:
- Own the vision, roadmap, and priorities for k0rdent AI networking, defining how customers design, automate, and operate every aspect of their network, including underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and more
- Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction
- Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable networking capabilities
- Manage the networking backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning
- Define positioning, packaging, and competitive differentiation for k0rdent AI networking
- Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the networking product lead
- Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, fabric, and ecosystem partners on reference architecture alignment
Qualifications:
- 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
Why you’ll love Mirantis:
- Build the networking foundation for the AI cloud era, working directly with leading GPU cloud operators, NeoClouds, sovereign clouds, and AI-first enterprises
- Collaborate with a world-class, distributed team committed to openness and technical excellence
- Shape the product narrative and influence go-to-market success
What does Mirantis offer you?
- Work with an established Silicon Valley leader in the cloud infrastructure industry.
- Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies.
- Be a part of cutting-edge, open-source innovation.
- Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.
- Professional development and training.
- Attend conferences and working groups.
- Customized workstation (macOS, Windows).
- A competitive compensation package with strong benefits plan and stock options.
It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to [email protected]
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