Senior Product Manager for Cisco Nexus Hyperfabric Product LineOur Nexus & AI Networking team delivers innovative solutions that empower enterprises, cloud providers, and Neoclouds to unlock the full potential of artificial intelligence and next-generation data center architectures. As a Senior Product Manager for the Cisco Nexus Hyperfabric product line, you will join a team of subject matter authorities, working on ground-breaking data center networking fabric architectures and AI infrastructure. As a trusted executive advisor, you will collaborate across engineering, product management, sales, and the broader industry ecosystem to build the future of AI networking.Your ImpactIn this role, you will be a senior technical and commercial product management voice behind Cisco's Nexus Hyperfabric, Nexus 9000, and AI Networking Fabric solutions.
Your work will directly influence product roadmaps, company positioning, and go-to-market strategies.Key responsibilities include:Define, validate, and publish authoritative reference architectures for AI/ML training fabrics, VXLAN/EVPN, and HPC/ML/AI infrastructure (e.g. at Neoclouds).Function as an expert and advisor to product management and engineering, identifying market whitespace and championing strategic Hyperfabric AI product requirements.Author landmark technical publications and represent Cisco at premier industry events (e.g., Cisco Live, OCP Summit, GTC).Lead deep-dive technical briefings for strategic global accounts and build long-term relationships with ecosystem partners like NVIDIA, AMD, and Intel.Minimum QualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical discipline (PhD is a plus) or equivalent combination of skills and experience.5+ years of product management experience in data center networking, systems engineering, product engineering, pre-sales engineering, or technical marketing.2+ years of expert-level proficiency in VXLAN, EVPN, BGP, OSPF, IS-IS, Segment Routing, and data center fabric build at scale.Preferred QualificationsExpertise in RDMA over Converged Ethernet (RoCE v2), GPUDirect RDMA, GPU cluster interconnect design, and/or lossless Ethernet fabric design.Direct experience with AI infrastructure platforms and/or cloud native networking, DPDK, Kubernetes and/or service mesh architectures.CCNP/CCIE or similar expert-level industry certifications are a plus.
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This position is listed as full time and onsite.