Data Account Executive, East

Hewlett Packard Enterprise

. Create and own qualified pipeline within assigned strategic accounts and territories .

Posted 10/6/2026full-timeRemote • United StatesSeniorLead💰 $108,000 - $253,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise technology sales with a focus on AI infrastructure, data storage, and analytics. Proven ability to create and manage a qualified pipeline while effectively communicating technical value to executive stakeholders.

Highest-signal resume keywords

Enterprise Technology SalesConsultative Selling SkillsPipeline DevelopmentExecutive CommunicationData Infrastructure Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Sales Strategy DevelopmentComplex Opportunity ClosingTechnical Architecture UnderstandingDisruptive Technology SalesData Protection Solutions

Soft Skills

Negotiation SkillsStorytelling AbilityCompetitive MindsetCollaboration Skills

Tools & Technologies

AI InfrastructureData LakesHybrid Cloud ArchitecturesEnterprise File StorageHigh-Performance S3

Industry Keywords

Enterprise AccountsMarket DevelopmentCyber ResilienceBackup and RecoveryCompetitive Displacement

Tech Stack

Tools & technologies

CloudNFS

About the role

Key responsibilities & impact

Create and own qualified pipeline within assigned strategic accounts and territories
Drive demand and market development by shaping use cases, generating customer interest, and converting whitespace into qualified pipeline
Identify whitespace, competitive displacement opportunities, and new use cases beyond traditional storage refresh cycles
Develop opportunities across AI infrastructure, inference and RAG, analytics, data lakes and Lakehouse modernization, cyber resilience and rapid recovery, enterprise file and object storage, high-performance S3, and hybrid cloud data architectures
Lead consultative discovery to understand customer business, application, data, and infrastructure challenges
Translate technical differentiation into faster recovery, stronger AI and analytics performance, lower complexity and cost, and greater business agility
Build compelling why change, why now, and why HPE value propositions
Engage CIOs, CTOs, CISOs, data and AI leaders, infrastructure executives, architects, and application owners
Partner with HPE account teams, Solution Architects, partners, ISVs, marketing, and product teams to advance opportunities and close business
Orchestrate stakeholders around priority markets, use cases, and growth plays
Develop and execute competitive strategies against incumbent and emerging data infrastructure providers
Represent HPE at customer workshops, executive briefings, industry events, and partner engagements
Deliver against a balanced scorecard spanning business results, pipeline, ecosystem growth, AI alignment, and market development
Establish the role and market foundation in 1H FY27, then scale knowledge and best-practice sharing in 2H to prepare Storage sellers for deeper FY28 engagement

Requirements

What you’ll need

7+ years of successful enterprise technology sales, specialist sales, or business development experience
Experience selling to Enterprise accounts
Demonstrated ability to create pipeline and close complex enterprise opportunities
Experience selling storage, data infrastructure, AI infrastructure, analytics, data protection, or related technologies
Strong consultative and value-based selling skills
Ability to understand technical architectures and translate them into clear business value
Proven ability to sell new or disruptive technologies where customer education and market creation are required
Strong executive communication, storytelling, presentation, and negotiation skills
Competitive mindset with experience developing displacement strategies
Ability to work effectively across account executives, technical teams, partners, and executive stakeholders
Willingness to travel for customer and partner engagements
Familiarity with enterprise file and object storage, S3, NFS, SMB, AI infrastructure, inference and RAG, data lakes, Lakehouse and analytics, backup, recovery, cyber resilience, hybrid and multi-cloud data architectures, and high-performance data infrastructure is preferred
Experience with Dell Technologies, NetApp, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality, Cloudian, or similar providers is highly desirable

Benefits

Comp & perks

Comprehensive health and wellbeing benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Remote/teleworker work arrangement
Inclusive workplace
Reasonable accommodation during the application or interview process for applicants with disabilities