Private Cloud AI Sales Specialist

Hewlett Packard Enterprise; North Carolina; Hybrid; USD 120,000 - 210,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Private Cloud AI Sales Specialist to drive growth across New England, the Mid-Atlantic, and the Carolinas. This hybrid role blends strategic account engagement with hands-on opportunity development, building trusted relationships from CIOs to line managers.

You will partner with account managers, tech specialists, and partners to move AI initiatives from experimentation to production, translating technical capabilities into measurable business outcomes and

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, predictive 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 infrastructure utilization, GPU consumption, token economics, and workload growth.
• Drive customer workshops, demonstrations, proof-of-concepts, hosted trials, benchmarks, and other technical validation activities when appropriate.
• Develop and maintain relationships with strategic partners across the AI ecosystem including NVIDIA, software vendors, ISVs, systems integrators, cloud providers, and channel partners .
• Maintain strong competitive awareness across AI infrastructure, GPU platforms, AI software, public cloud AI services, and emerging AI platforms.
• Accurately manage pipeline, opportunity progression, forecasting, and sales activity within the company's CRM and sales processes.
• Maintain current knowledge of rapidly evolving AI technologies, models, architectures, and market trends and translate those developments into actionable customer conv

Job description

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, predictive 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 infrastructure utilization, GPU consumption, token economics, and workload growth.
• Drive customer workshops, demonstrations, proof-of-concepts, hosted trials, benchmarks, and other technical validation activities when appropriate.
• Develop and maintain relationships with strategic partners across the AI ecosystem including NVIDIA, software vendors, ISVs, systems integrators, cloud providers, and channel partners .
• Maintain strong competitive awareness across AI infrastructure, GPU platforms, AI software, public cloud AI services, and emerging AI platforms.
• Accurately manage pipeline, opportunity progression, forecasting, and sales activity within the company's CRM and sales processes.
• Maintain current knowledge of rapidly evolving AI technologies, models, architectures, and market trends and translate those developments into actionable customer conv