Technical Product Manager, AI Cloud Networking

The company 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. You will shape how k0rdent AI handles everything from RDMA fabrics over InfiniBand and RoCEv2, to BGP-driven underlays and multi-tenant overlays, to programmable dataplanes accelerated by DPUs and SmartNICs from NVIDIA, AMD Pensando, and the broader ecosystem.

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 define positioning, and with customers to help ensure their success.

Responsibilities

• Own the vision, roadmap, and priorities for k0rdent AI networking, spanning underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and network automation

• Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction; partner with engineering to define requirements and evaluate trade-offs

• Manage the networking backlog using feedback from production deployments and design partners to refine priorities

• Track and shape our response to emerging interconnect standards and technologies, including Ultra Ethernet (UEC), UALink, Scale-Up Ethernet, congestion control (ECN, PFC, DCQCN), and fabric telemetry

• Partner with product marketing and field teams on positioning, technical briefs, and reference architectures; represent the company with customers, analysts, and ecosystem partners

• 7+ years in product management or a senior technical role owning a networking product or operating a large-scale automated network

• Working knowledge of BGP, VXLAN/EVPN, VRFs, and RDMA networking concepts (RoCEv2 or InfiniBand)

• Fluency in Linux networking, Kubernetes networking, SDN/overlay networking, or network automation

• Ability to work directly with engineering on technical trade-offs and with field teams in competitive GPU cloud and NeoCloud deals

• Exposure to GPU or HPC cluster networking, including rail-optimized fabric design, GPUDirect RDMA, or collective communication libraries (NCCL, RCCL)

• Experience with DPU/SmartNIC products, OVS/OVN, SR-IOV, or DNS/IPAM at scale

Why you’ll love the company

• 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 the company 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 the company, 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 [link for members]

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About the company

The company is the leading 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 infrastructure orchestration, the company 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, the company 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, the company ensures that customers retain full control of their infrastructure strategy.

We serve global leaders, including Adobe, PayPal, Liberty Mutual, Splunk, and Volkswagen.  Learn more at [link for members] .