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
- 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
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
SalesJob 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%."
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Skills Required
- 5+ years of experience in networking, AI infrastructure, or data centre architectures
- Bachelor's degree or equivalent work experience
- Proven leadership in global channel strategy and ecosystem development
- Understanding of AI workloads and infrastructure requirements (training, inference, distributed pipelines)
- Knowledge of high-performance networking (fabric, routing, low latency architectures)
- Experience with automation, AIOps, and AI-native operations
- Experience operating in regional or worldwide roles influencing GEO execution without direct control
- Strong executive presence with hyperscalers, GSIs, or AI-focused partners and analysts
- Ability to lead transformation to AI-native infrastructure, self-driving networking, and integrated Zero Trust security architectures
- Hybrid work ability (average 2 days per week from an HPE office)
Hewlett Packard Enterprise Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hewlett Packard Enterprise and has not been reviewed or approved by Hewlett Packard Enterprise.
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Parental & Family Support — Parental leave provides six months of fully paid time for all parents and includes options to return part-time for up to 36 months. Additional supports like backup childcare, fertility and adoption assistance reinforce a family-friendly package.
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Wellbeing & Lifestyle Benefits — Wellness Fridays offer paid early-finish time each month alongside resources such as on-site gyms, mental health tools, and paid volunteer time. These programs emphasize balance and personal well-being.
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Retirement Support — Retirement programs include a 401(k) with a 100% match on the first 4% of base salary and an Employee Stock Purchase Program. Retirement Transition Support enables part-time work for employees nearing retirement.
Hewlett Packard Enterprise Insights
What We Do
In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology. More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.
