HPE
AI Networking Channel Specialist
$91K–$210K
Houston, Texas, United States of America +1 · Full-time · Posted Sep 23, 2026
- Location
- Houston, Texas, United States of America
Raleigh, North Carolina, United States of America - Experience
- 5+ years of relevant work experience or equivalent
- Education
- Bachelor's degree or equivalent in Networking/Computer Science Engineering or related field
About the job
Accelerates HPE Networking’s Campus & Branch growth through channel partners by driving partner readiness, opportunity development, and adoption of AI-native networking solutions.
What you'll do
- Execute channel growth initiatives, sales plays, and competitive displacement efforts to generate pipeline and revenue.
- Identify and progress partner opportunities, providing technical guidance, solution positioning, and customer architecture support.
- Deliver partner technical enablement, workshops, boot camps, demos, proof-of-concepts, and readiness programs.
What they ask for
- Bachelor's degree or equivalent in Networking/Computer Science Engineering or related field.
- Deep expertise in enterprise networking, including campus switching, wireless networking, managed services and cloud-managed solutions.
- Strong understanding of AI-driven networking technologies and operational models.
- Experience working with channel partners, systems integrators, service providers, and distributors.
Nice to have
- Experience with HPE Aruba Networking and/or HPE Juniper Networking solutions, including Aruba Central, CX Switching, Mist AI, Marvis AI, EX Switching, and Wireless LAN.
- Networking or cloud technology certifications; experience in partner enablement, technical sales, solution architecture, or channel engineering.
Pay
USD 91,000 - 209,500 (combined base and target-level sales compensation; 75%/25% base and target-level sales compensation mix)
Tools
Aruba Central, CX Switching, Mist AI, Marvis AI, EX Switching, Wireless LAN
AI focus
Drive adoption and partner readiness for AI-native Campus & Branch networking solutions, including AI-driven networking technologies and operational models.
Model-written summary · the original posting is authoritative