Hewlett Packard Enterprise
Hewlett Packard Enterprise
Hewlett Packard Enterprise develops enterprise technology for organizations running hybrid cloud and AI-driven operations. Its portfolio spans HPE ProLiant servers and HPE Cray high-performance computing, HPE Alletra storage, HPE Aruba networking, AI platforms and turnkey AI factories, and GreenLake as-a-service solutions. HPE also provides security capabilities such as Zero Trust and SASE, alongside professional, advisory, and support services that help large organizations modernize infrastructure, manage data-center environments, and deploy AI at scale.

Private Cloud AI Sales Specialist - Hybrid United States

Lead enterprise sales for HPE Private Cloud AI across New England, the Mid-Atlantic, and the Carolinas. Build pipeline, shape strategic opportunities, and close complex AI infrastructure deals.

Description

  • Lead HPE's Private Cloud AI business across New England, the Mid-Atlantic, and the Carolinas
  • Manage pipeline creation, opportunity development, forecasting, and revenue performance
  • Generate new AI opportunities through prospecting, account planning, executive engagement, workshops, events, partner activity, and sales campaigns
  • Work with Account Managers and broader sales teams to define AI strategies and win new customers
  • Advise customers on Generative AI, agentic AI, machine learning, AI infrastructure, accelerated computing, and private or hybrid AI architectures
  • Help customers assess private cloud, public cloud, colocation, and hybrid environments for AI workloads
  • Create tailored solutions aligned with customer AI initiatives, use cases, data environments, application needs, and business priorities
  • Engage stakeholders ranging from technical practitioners to CIOs, CTOs, CDOs, infrastructure, data, AI/ML, security, and business leaders
  • Connect technical capabilities with measurable business outcomes
  • Direct complex sales pursuits from discovery and validation through business-case development, solution design, negotiation, and close
  • Coordinate AI architects, solution engineers, services, finance, product teams, and executive sponsors
  • Build AI business cases and compare the economics of cloud and private AI environments
  • Lead workshops, demonstrations, proof-of-concepts, hosted trials, and benchmarks
  • Develop and maintain strategic relationships across the AI partner ecosystem
  • Keep CRM activity, pipeline movement, forecasts, and sales processes current
  • Act as an AI subject-matter expert and thought leader for customers, partners, and internal sales teams

Requirements

  • Bachelor's degree or equivalent directly related professional experience
  • Typically 8+ years of enterprise technology sales experience
  • Track record of meeting or exceeding sales quotas and closing complex enterprise opportunities
  • Demonstrated ability to prospect, hunt, and generate new business
  • Experience partnering 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
  • Background selling AI, cloud, hybrid cloud, infrastructure, platform, or as-a-service solutions
  • Experience building business cases and positioning technology around business value, economics, risk reduction, and strategic outcomes
  • Experience managing complex enterprise sales cycles with multiple stakeholders
  • Strong knowledge of enterprise AI, Generative AI, and Agentic AI
  • Understanding of AI infrastructure, including GPUs, accelerated computing, high-performance networking, storage, data platforms, and AI workload requirements
  • 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 and gateways, Kubernetes, containers, APIs, Tokenomics, and modern AI application architectures
  • Understanding of private cloud, public cloud, and hybrid-cloud architectures
  • Knowledge of AI economics, enterprise security, governance, data privacy, compliance, and the competitive AI ecosystem
  • Strong discovery, consultative selling, presentation, negotiation, and closing abilities
  • Disciplined approach to account planning, pipeline management, and forecasting
  • Commitment to ongoing learning about emerging AI technologies

Benefits

  • Comprehensive health and wellbeing coverage supporting physical, financial, and emotional wellness
  • Programs supporting personal and professional growth
  • Flexible work options that help balance professional and personal responsibilities
  • An inclusive workplace environment
  • Reasonable accommodation during the application or interview process for applicants with disabilities

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