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Private Cloud AI Sales Specialist
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-10-09
Listing for:
Hewlett Packard Enterprise Development LP
Full Time, Part Time
position Listed on 2026-10-09
Job specializations:
-
Sales
Technical Sales, IT / Software Sales -
IT/Tech
Technical Sales, IT / Software Sales
Job Description & How to Apply Below
All, North Carolina, United States of America:
All, Virginia, United States of America:
All, Maryland, United States of America:
All, District of Columbia, United States of America:
All, Massachusetts, United States of America:
Full time:
Posted Today:
1215368
Private Cloud AI Sales Specialist 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:
** The
** Private Cloud AI Sales Specialist
** is responsible for driving growth of HPE’s AI business across
** New England, the Mid-Atlantic, and the Carolinas**. This is a highly visible, customer-facing sales role focused on helping organizations move from AI experimentation to production by delivering secure, scalable, enterprise-ready AI infrastructure and platforms.
This individual will serve as the AI sales specialist across the territory, partnering closely with Account Managers, technical specialists, services teams, partners, and executive leadership to identify, develop, and close strategic AI opportunities.
The ideal candidate is a
** hunter and business builder
** who is comfortable creating opportunities from the ground up, engaging C-level executives and technical leaders, and navigating complex enterprise sales cycles. They should understand how AI is changing enterprise infrastructure requirements and be able to connect customer initiatives around generative AI, agentic AI, machine learning, data science, and accelerated computing to measurable business outcomes.
This role requires someone who can operate at the intersection of
** AI, infrastructure, hybrid cloud, software, and services
** while building trusted relationships with customers ranging from technical practitioners to CIOs, CTOs, CDOs, and business executives. ## Responsibilities:
* Own and drive the
** Private Cloud AI sales pipeline
** across New England, the Mid-Atlantic, and the Carolinas, with responsibility for pipeline creation, opportunity development, forecasting, and revenue attainment.
* Proactively identify and develop
** net-new AI opportunities
** through prospecting, account planning, executive engagement, workshops, customer events, partner activities, and targeted sales campaigns.
* Partner closely with Account Managers and extended sales teams to develop AI strategies within existing accounts while also identifying and landing new customers.
* Lead customer conversations around
** Generative AI, agentic AI, machine learning, AI infrastructure, accelerated computing, and private/hybrid AI architectures**.
* Help customers evaluate where AI workloads should run across private cloud, public cloud, colocation, and hybrid environments based on performance, security, governance, data gravity, and economics.
* Develop a strong understanding of customer AI initiatives, use cases, data environments, application requirements, and business priorities to create differentiated solutions.
* Engage with customers from technical practitioners through
** CIO, CTO, CDO, infrastructure, data, AI/ML, security, and business leadership**.
* Translate technical capabilities into clear business outcomes including faster time to value, improved developer productivity, greater control of sensitive data, predictable AI economics, and lower total cost of ownership.
* Lead complex sales pursuits from initial discovery through technical validation, business-case development, solution design, commercial negotiation, and close.
* Coordinate internal resources including AI architects, solution engineers, services, finance, product teams, and executive sponsors to advance strategic opportunities.
* Work with customers to develop
** AI business cases and cloud-versus-private-AI economic models**, including…
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