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Unstructured Data Account Executive

šŸ”„ 17 hours ago

šŸ„ California, Illinois, +2 more states – Remote

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šŸ’µ $122.8k - $253.5k / year

ā° Full Time

🟠 Senior

šŸ”“ Lead

šŸ§‘ā€šŸ’¼ Account Executive

šŸ¦… H1B Visa Sponsor

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šŸ‘» Ghost score 0%

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Logo of Hewlett Packard Enterprise

Hewlett Packard Enterprise

10,000+ employees

šŸ¢ Enterprise

šŸ”§ Hardware

šŸ¤– Artificial Intelligence

šŸ’° $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.

šŸ“‹ Description

• 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; and 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/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

šŸŽÆ Requirements

• 7+ years of successful enterprise technology sales, specialist sales, or business development experience • 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 • Experience with or competing against Dell Technologies, NetApp, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality, Cloudian, or similar providers is highly desirable • 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

šŸ–ļø Benefits

• Comprehensive benefits supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Flexible work and personal needs management • Inclusive workplace culture • Reasonable accommodation during application or interview process

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