WW Networks for AI Channel Leader

Hewlett Packard Enterprise•Spring, TX

3d•$216,000 - $507,000•Hybrid

About The Position

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Role Summary The Leader, WW Networks for AI Channel Leader is responsible for defining and executing the global channel strategy for AI-native networking, enabling partners to capitalize on the accelerating demand for AI workloads, distributed architectures, and self-driving networks. This role spans all partner types (Geo, Distribution, and Strategic Partners) and is focused on positioning the channel to deliver AI-optimized networking infrastructure, automation, and security at scale. This is a WW overlay leadership role that: Provides strategic direction and governance across GEOs Drives AI networking priorities, programs, and partner motions Acts as the global voice for Networks for AI in the channel ecosystem

Requirements

5+ years of experience in networking, AI infrastructure, or data centre architectures
Bachelors degree or equivalent work experience
Proven leadership in global channel strategy and ecosystem development
Understanding of: AI workloads and infrastructure requirements, High-performance networking (fabric, routing, low latency architectures), Automation, AIOps, and AI-native operations
Experience operating in Regional or WW roles influencing GEO execution without direct control
Strong executive presence with: Hyperscalers, GSIs, or AI-focused partners, Analysts and industry forums
Ability to lead transformation toward: AI-native infrastructure, Self-driving networking models, Integrated security and Zero Trust architectures

Responsibilities

Define the WW Networks for AI channel strategy, aligned to: AI workload growth (training, inference, distributed data pipelines), AI-native, self-driving networking operating models, Unified client-to-cloud infrastructure
Establish global standards for: Partner specialization in AI networking architectures (fabric, edge, data centre), AI-native operational capabilities (AIOps, automation, observability), Experience-led success metrics (performance, automation, user experience)
Drive alignment across GEO channel leaders to ensure consistent execution of: AI networking priorities (performance, scale, automation, security), Transition from traditional networking to AI-native, self-driving models
Serve as the global leader for partners building Networks for AI capabilities, including: AI data centre networking (high-performance Ethernet fabrics), Cloud-to-edge AI connectivity, AI-driven operations and automation
Shape partner investment strategies toward: AI-optimized infrastructure and services, Development of AI-ready networking practices and IP, Integration of networking, security, and AI operations
Identify ecosystem gaps in: AI networking capacity, skills, and coverage, Partner readiness to support large-scale AI deployments, Alignment with AI-driven TAM expansion
Represent HPE Networking at: Global and regional partner events focused on AI and infrastructure transformation, Analyst briefings on AI-native networking and self-driving networks, Executive partner forums, PABs, and industry engagements
Position HPE as the leader in: Self-driving networks purpose-built for AI, AI-native infrastructure (client-to-cloud, unified platform), Integrated Zero Trust security for AI environments
Partner with Sales, Engineering, and GTM teams to align: Channel strategy with AI networking solutions and roadmaps, Partner enablement on AI workloads, fabrics, and automation, Incentives and programs to accelerate AI networking adoption
Ensure alignment across: Compute, storage, and networking teams to deliver end-to-end AI infrastructure plays, Security integration (Zero Trust, SASE) within AI networking architectures
Lead the incubation of Networks for AI in the channel, recognising that: Traditional coverage and ratios are insufficient for AI-driven complexity, New partner skills (automation, AI ops, data centre fabrics) are required
Drive: Early partner specialisation in AI networking use cases, Development of repeatable AI deployment motions (training clusters, inference edge, hybrid AI), Transition from incubation to scaled, repeatable global execution