Hewlett Packard Enterprise gibrid bulut va sun’iy intellektga asoslangan operatsiyalarni yurituvchi tashkilotlar uchun korporativ texnologiyalarni ishlab chiqadi. Uning portfeli HPE ProLiant serverlari va HPE Cray yuqori unumli hisoblash tizimlari, HPE Alletra ma’lumot saqlash yechimlari, HPE Aruba tarmoq texnologiyalari, sun’iy intellekt platformalari va tayyor AI fabrikalari, shuningdek xizmat sifatida taqdim etiladigan GreenLake yechimlarini qamrab oladi. HPE, shuningdek, yirik tashkilotlarga infratuzilmasini modernizatsiya qilish, ma’lumotlar markazi muhitlarini boshqarish va sun’iy intellektni keng miqyosda joriy etishda yordam beradigan Zero Trust va SASE kabi xavfsizlik imkoniyatlari bilan bir qatorda professional, maslahat va qo‘llab-quvvatlash xizmatlarini ham taqdim etadi.
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.
Tavsif
- 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
Talablar
- 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
Imtiyozlar
- 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