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Hewlett Packard Enterprise

Unstructured Data Sales Specialist – AI, Analytics, Cyber Resilience

Hewlett Packard Enterprise

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

Posted 10/20/2026full-timeBoeblingen • GermanySeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

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 SkillsData Infrastructure ExpertiseExecutive CommunicationCompetitive Strategy Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Pipeline CreationComplex Opportunity ClosingTechnical Architecture UnderstandingDisruptive Technology SalesData Protection Solutions
Soft Skills
StorytellingPresentation SkillsNegotiation SkillsCompetitive MindsetCollaboration
Tools & Technologies
AI InfrastructureData LakesLakehouse ModernizationHybrid Cloud Data ArchitecturesEnterprise File Storage
Industry Keywords
Cyber ResilienceHigh-Performance Data InfrastructureS3NFSSMBDell TechnologiesNetAppPure StorageVAST DataCommvault

Tech Stack

Tools & technologies
CloudNFS

About the role

Key responsibilities & impact
  • Create and own qualified pipeline within assigned strategic accounts and territories
  • 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 of customer business, application, data, and infrastructure challenges
  • Translate technical differentiation into outcomes including faster recovery, improved AI performance, faster analytics, reduced infrastructure complexity, lower cost, and improved business agility
  • Build a compelling why change, why now, why HPE value proposition
  • 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
  • Develop and execute competitive strategies against incumbent and emerging data infrastructure providers
  • Represent HPE at customer workshops, executive briefings, industry events, and partner engagements
  • Create demand, develop pipeline, open new opportunities, and sell emerging technologies
  • Help customers modernize legacy architectures, improve cyber resilience, accelerate AI and analytics initiatives, and simplify complex data environments

Requirements

What you’ll need
  • 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
  • Business proficiency in German and English
  • Familiarity with enterprise file and object storage; S3, NFS and SMB; AI infrastructure, inference and RAG; data lakes, Lakehouses and analytics; backup, recovery and cyber resilience; hybrid and multi-cloud data architectures; high-performance data infrastructure
  • Experience with or selling against Dell Technologies, NetApp, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality, Cloudian, or similar providers is highly desirable

Benefits

Comp & perks
  • Competitive salary and extensive benefits package
  • Pension scheme
  • Insurances
  • Company car
  • Bike and car leasing
  • Other fringe benefits
  • Flexible working time
  • Hybrid workplace model
  • 30 vacation days
  • Four HPE Wellness-Fridays
  • Up to six months paid parental leave
  • Support for education, training, and career development
  • Diverse and dynamic work environment
  • Comprehensive benefits supporting physical, financial, and emotional wellbeing
  • Career development programs
  • Inclusive and accessible workplace