Hewlett Packard Enterprise
Private Cloud AI Sales Specialist
Join for the
Private Cloud AI Sales Specialist
role at Hewlett Packard Enterprise.
This role is designated Remote/Teleworker, primarily work from home.
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.
Job Description Location: Connecticut and Massachusetts. This position resides in Connecticut and Massachusetts. The HPE Private Cloud AI (PCAI) Sales Specialist is a subject matter expert in positioning HPE Private Cloud AI, identifying and leading engagements with customers. The individual possesses expertise in AI Platforms & Generative AI and the AI use cases, outcomes and technology stack (HW, SW) as well as differentiation from hyperscalers and traditional competitors.
Key Responsibilities
Strategic Sales & AI Evangelism
Lead the AI Narrative: Serve as the primary lead for AI-specific engagements, positioning HPE Private Cloud AI, Data Fabric, and services to help customers execute on their desired business outcomes.
Subject Matter Expertise: Demonstrate deep fluency in AI Platforms, Generative AI use cases, and the supporting technology stack (HW, SW, & services).
Opportunity Hunting: Leverage market data, including Propensity To Buy (PTB) analytics, to uncover net-new opportunities and "hunt" for new logos within the territory as well as cross selling into existing install base accounts.
Deal Structuring: Conceptualize and articulate targeted solutions—from initial proposal to contract sign-off—negotiating profitable deals that expand HPE’s footprint.
Pipeline Management & Execution
Overlay Collaboration: Actively prospect within assigned accounts in close cooperation with Account Managers, validating leads and prioritizing opportunities based on technical and business feasibility ("Qualify-in"/"Qualify-out").
Pipeline Growth: rigorously manage the sales pipeline to ensure consistent revenue generation, upselling, and cross-selling of service attachments.
Consultative Selling: Establish professional relationships with client executives, developing a core understanding of their unique industry challenges to guide their IT business decisions.
Ecosystem & Enablement
Partner Collaboration: Work closely with channel partners and ISVs to extend reach and deliver comprehensive solutions.
Internal Leadership: Interface with internal industry experts and product teams to anticipate customer needs and facilitate future solution development.
Knowledge Transfer: Build sales readiness across the broader account teams by acting as a mentor and reducing the client learning curve regarding AI infrastructure.
Qualifications & Experience
Experience: Typically requires 10+ years of advanced/technical sales experience, with a strong track record of quota over-achievement and managing complex, high-level customer relationships.
Education: University or Bachelor's degree preferred.
Technical Sales Background: Demonstrated exposure to the technical aspects of Hybrid Cloud, AI Hardware (GPU/Accelerators), AI / ML Ops Software stacks, data pipelines, aaS solutions, & managed services.
Industry Knowledge: Detailed knowledge of key customer types, industry trends, and the competitive landscape.
Knowledge & Skills
Competitive Differentiation: In-depth knowledge of HPE’s offerings versus competitor and public cloud offerings, with the ability to articulate clear business advantages.
Executive Presence: Solid communication and presentation skills, capable of engaging IT Managers, Directors, Data Scientists, ML engineers, and C‑Suite executives.
Solution Fluency: Ability to assess solution feasibility from both a technical and business perspective.
Sales Mechanics: Expert in opportunity prospecting, pipeline management, and closing complex, multi‑stakeholder deals.
AI/ML Aptitude: A passion for understanding the evolving AI landscape, including Large Language Models (LLMs), Agentic & RAG architectures, and data sovereignty requirements.
Bias to action: Ability to learn and get things done quickly, possess a strong sense of urgency.
Commitment to customer success: Obsess over the customer and ability to understand their desired business outcomes and structure a solution that allows them to meet their goals.
Ability to drive strong partnerships: Partnership internally, externally, and with our customers will be critical to success in this role.
What We Offer You Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.
Compensation Expected salary range: USD 245,500 - 507,000 in New York (annual). 216,000 - 507,000 in Connecticut & Pennsylvania.
Equal Opportunity Employment HPE is an Equal Employment Opportunity/ Veterans/ Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.
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Private Cloud AI Sales Specialist
role at Hewlett Packard Enterprise.
This role is designated Remote/Teleworker, primarily work from home.
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.
Job Description Location: Connecticut and Massachusetts. This position resides in Connecticut and Massachusetts. The HPE Private Cloud AI (PCAI) Sales Specialist is a subject matter expert in positioning HPE Private Cloud AI, identifying and leading engagements with customers. The individual possesses expertise in AI Platforms & Generative AI and the AI use cases, outcomes and technology stack (HW, SW) as well as differentiation from hyperscalers and traditional competitors.
Key Responsibilities
Strategic Sales & AI Evangelism
Lead the AI Narrative: Serve as the primary lead for AI-specific engagements, positioning HPE Private Cloud AI, Data Fabric, and services to help customers execute on their desired business outcomes.
Subject Matter Expertise: Demonstrate deep fluency in AI Platforms, Generative AI use cases, and the supporting technology stack (HW, SW, & services).
Opportunity Hunting: Leverage market data, including Propensity To Buy (PTB) analytics, to uncover net-new opportunities and "hunt" for new logos within the territory as well as cross selling into existing install base accounts.
Deal Structuring: Conceptualize and articulate targeted solutions—from initial proposal to contract sign-off—negotiating profitable deals that expand HPE’s footprint.
Pipeline Management & Execution
Overlay Collaboration: Actively prospect within assigned accounts in close cooperation with Account Managers, validating leads and prioritizing opportunities based on technical and business feasibility ("Qualify-in"/"Qualify-out").
Pipeline Growth: rigorously manage the sales pipeline to ensure consistent revenue generation, upselling, and cross-selling of service attachments.
Consultative Selling: Establish professional relationships with client executives, developing a core understanding of their unique industry challenges to guide their IT business decisions.
Ecosystem & Enablement
Partner Collaboration: Work closely with channel partners and ISVs to extend reach and deliver comprehensive solutions.
Internal Leadership: Interface with internal industry experts and product teams to anticipate customer needs and facilitate future solution development.
Knowledge Transfer: Build sales readiness across the broader account teams by acting as a mentor and reducing the client learning curve regarding AI infrastructure.
Qualifications & Experience
Experience: Typically requires 10+ years of advanced/technical sales experience, with a strong track record of quota over-achievement and managing complex, high-level customer relationships.
Education: University or Bachelor's degree preferred.
Technical Sales Background: Demonstrated exposure to the technical aspects of Hybrid Cloud, AI Hardware (GPU/Accelerators), AI / ML Ops Software stacks, data pipelines, aaS solutions, & managed services.
Industry Knowledge: Detailed knowledge of key customer types, industry trends, and the competitive landscape.
Knowledge & Skills
Competitive Differentiation: In-depth knowledge of HPE’s offerings versus competitor and public cloud offerings, with the ability to articulate clear business advantages.
Executive Presence: Solid communication and presentation skills, capable of engaging IT Managers, Directors, Data Scientists, ML engineers, and C‑Suite executives.
Solution Fluency: Ability to assess solution feasibility from both a technical and business perspective.
Sales Mechanics: Expert in opportunity prospecting, pipeline management, and closing complex, multi‑stakeholder deals.
AI/ML Aptitude: A passion for understanding the evolving AI landscape, including Large Language Models (LLMs), Agentic & RAG architectures, and data sovereignty requirements.
Bias to action: Ability to learn and get things done quickly, possess a strong sense of urgency.
Commitment to customer success: Obsess over the customer and ability to understand their desired business outcomes and structure a solution that allows them to meet their goals.
Ability to drive strong partnerships: Partnership internally, externally, and with our customers will be critical to success in this role.
What We Offer You Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports physical, financial and emotional wellbeing.
Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.
Compensation Expected salary range: USD 245,500 - 507,000 in New York (annual). 216,000 - 507,000 in Connecticut & Pennsylvania.
Equal Opportunity Employment HPE is an Equal Employment Opportunity/ Veterans/ Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.
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