Private Cloud AI Sales Specialist

Hewlett Packard Enterprise

. Drive growth of HPE’s AI business across New England, the Mid-Atlantic, and the Carolinas .

Posted 10/7/2026full-timeUnited StatesSeniorLead💰 $135,300 - $279,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in driving AI business growth through strategic sales initiatives, including pipeline management, opportunity development, and customer engagement. Proficient in translating complex AI technologies into business value while collaborating with cross-functional teams and stakeholders.

Highest-signal resume keywords

AI Sales Strategy DevelopmentEnterprise Technology Sales ExperienceComplex Sales Cycle ManagementAI Infrastructure KnowledgeBusiness Case Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI SalesCloud SolutionsGenerative AIMachine LearningAI InfrastructureMLOpsKubernetesData PlatformsSales ForecastingPipeline Management

Soft Skills

Consultative SellingNegotiationPresentation SkillsConsensus BuildingContinuous Learning

Tools & Technologies

CRM SoftwareAI Ecosystem ToolsPublic Cloud ServicesPrivate Cloud SolutionsAI Workloads

Industry Keywords

Enterprise AIHybrid CloudAI EconomicsData PrivacyCompliance

Tech Stack

Tools & technologies

CloudKubernetes

About the role

Key responsibilities & impact

Drive growth of HPE’s AI business across New England, the Mid-Atlantic, and the Carolinas
Own and drive the Private Cloud AI sales pipeline, including pipeline creation, opportunity development, forecasting, and revenue attainment
Identify and develop net-new AI opportunities through prospecting, account planning, executive engagement, workshops, events, partner activities, and sales campaigns
Partner with Account Managers and extended sales teams to develop AI strategies and land new customers
Lead customer conversations around Generative AI, agentic AI, machine learning, AI infrastructure, accelerated computing, and private/hybrid AI architectures
Help customers evaluate private cloud, public cloud, colocation, and hybrid environments
Develop customer-specific solutions based on AI initiatives, use cases, data environments, application requirements, and business priorities
Engage technical practitioners, CIOs, CTOs, CDOs, infrastructure, data, AI/ML, security, and business leadership
Translate technical capabilities into business outcomes
Lead complex sales pursuits from discovery through validation, business-case development, solution design, negotiation, and close
Coordinate AI architects, solution engineers, services, finance, product teams, and executive sponsors
Develop AI business cases and cloud-versus-private-AI economic models
Drive workshops, demonstrations, proof-of-concepts, hosted trials, benchmarks, and technical validation activities
Develop strategic relationships with AI ecosystem partners including NVIDIA, software vendors, ISVs, systems integrators, cloud providers, and channel partners
Maintain competitive awareness across AI infrastructure, GPU platforms, AI software, public cloud AI services, and emerging AI platforms
Manage pipeline, opportunity progression, forecasting, and sales activity in the company CRM
Track evolving AI technologies, models, architectures, and market trends
Act as an AI subject-matter expert and thought leader for customers, partners, and internal sales teams

Requirements

What you’ll need

Bachelor's degree or equivalent directly related professional experience
Typically 8+ years of enterprise technology sales experience
History of meeting or exceeding sales quotas and closing complex enterprise opportunities
Experience prospecting, hunting, and creating net-new business
Experience collaborating with Enterprise Account Managers in a specialist or overlay sales model
Experience engaging senior executives and technical decision-makers in mid-market and large enterprise organizations
Experience selling AI, cloud, hybrid cloud, infrastructure, platform, or as-a-service solutions
Experience developing business cases and positioning technology based on business value, economics, risk reduction, and strategic outcomes
Experience navigating complex, multi-stakeholder enterprise sales cycles
Strong understanding of enterprise AI, Generative AI, and Agentic AI
Understanding of AI infrastructure, including GPUs, accelerated computing, networking, storage, data platforms, and AI workloads
Familiarity with the AI/ML lifecycle, including model development, training, fine-tuning, inference, deployment, monitoring, and governance
Working knowledge of MLOps, LLMOps, model serving, model routing/gateways, Kubernetes, containers, APIs, Tokenomics, and modern AI application architectures
Understanding of private, public, and hybrid cloud architectures and related tradeoffs
Ability to discuss AI economics, public-cloud consumption models, infrastructure utilization, GPU requirements, and private AI business cases
Understanding of enterprise security, governance, data privacy, and compliance for AI adoption
Knowledge of the competitive AI ecosystem
Ability to translate technical concepts into business value for executive audiences
Strong discovery, consultative selling, presentation, negotiation, and closing skills
Ability to build consensus and manage complex sales pursuits
Strong account-planning, pipeline-management, and forecasting discipline
Curiosity and commitment to continuous learning about emerging AI technologies

Benefits

Comp & perks

Health and wellbeing benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace culture
Reasonable accommodation during the application or interview process
Employee benefits program for US employees