WW Networks for AI Channel Leader

WW Networks for AI Channel Leader

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are

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.

Job Description

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

Key Responsibilities

Worldwide Channel Strategy & Governance (AI Networking)

• 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

Partner Ecosystem Leadership (AI-Ready Partners)

• 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

Voice to the Channel Market (AI Networking Leadership)

• 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

Cross-Functional Leadership (AI GTM Alignment)

• 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

Incubation & Scale (AI Networking Curve)

• 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

Success Measures

• 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

Ideal Experience & Profile

• 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

What We Can Offer You

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

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Job: Sales Job Level: Manager_2

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 216,000 - 507,000 in Texas This range reflects the minimum to maximum combined base and target-level sales compensation that would be paid if the hire performs at 100% of their sales plan. Of that on-target pay amount, the mix of base salary and target-level sales compensation is 60%/40%.

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