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Account Executive – Unstructured Data

🕒 October 13

🤠 Texas – Remote

infoinfo

💵 $115.5k - $271.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💼 Account Executive

Where this job comes from

Posted on Hewlett Packard Enterprise's careers page, not through a job board

First seen by Remote Rocketship October 13

Still open on Hewlett Packard Enterprise's site. Checked 2 hours ago.

Logo of Hewlett Packard Enterprise

Hewlett Packard Enterprise

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Create and own qualified pipeline within assigned strategic accounts and territories • Drive demand and market development by shaping use cases and converting whitespace into qualified pipeline • Identify 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, and hybrid cloud data architectures • Lead consultative discovery of 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/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 and scale knowledge and best-practice sharing in 2H

🎯 Requirements

• 7+ years of successful enterprise technology sales, specialist sales, or business development experience • Experience working with and selling to Federal accounts required • 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 • US Citizenship is required • Familiarity with enterprise file and object storage, S3, NFS, SMB, AI infrastructure, inference and RAG, data lakes, Lakehouse’s and analytics, backup, recovery and cyber resilience, hybrid and multi-cloud data architectures, or high-performance data infrastructure preferred • Experience with or against Dell Technologies, NetApp, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality, Cloudian, or similar providers highly desirable

🏖️ Benefits

• Comprehensive benefits supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Flexible work and personal-needs management • Inclusive workplace and accessibility accommodations

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