WW Networks for AI Channel Leader

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

• 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

• Clear and adopted WW Networks for AI channel strategy
• Strong partner capability in:
  • AI networking infrastructure
  • AI-driven operations (automation, AIOps, self-driving)
• Increased partner-led growth in:
  • AI networking deals
  • Data centre, edge, and hybrid AI deployments
• Improved market perception of HPE as:
  • Leader in AI-native, self-driving networking
  • Provider of secure, high-performance AI infrastructure at scale

• 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

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Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

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