Note: The job is a remote job and is open to candidates in USA. The client is a Kubernetes-native AI infrastructure company that helps organizations build and operate scalable, secure, and sovereign infrastructure for AI, machine learning, and data-intensive applications. The Technical Product Manager will own the networking strategy, roadmap, and feature priorities for the AI infrastructure control plane, partnering with engineering, marketing, field teams, and ecosystem partners to deliver scalable networking capabilities for GPU clusters and distributed AI workloads.
Responsibilities
- Own the vision, roadmap, and priorities for the platform's 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 the platform's networking
- Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the networking product lead
- Represent our client at events, analyst briefings, and customer advisory boards; engage silicon, fabric, and ecosystem partners on reference architecture alignment
Skills
- 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
Benefits
- Remote work arrangement in Austin, TX, USA
- Professional development and training
- Attend conferences and working groups
- Customized workstation (macOS, Windows)
- Strong benefits plan
- Stock options
Company Overview