> Markdown version of [/jobs/ext/3859673-unstructured-data-sales-specialist-ai-analytics-cyber-resilience](https://www.wearedevelopers.com/jobs/ext/3859673-unstructured-data-sales-specialist-ai-analytics-cyber-resilience). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Unstructured Data Sales Specialist - AI, Analytics & Cyber Resilience - **Company:** Hewlett Packard Enterprise - **Location:** Böblingen, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon S3, Data Analysis, Data Architecture, Data Infrastructure, NetApp Applications, Performance Tuning, Unstructured Data, Weka, AI Infrastructure, Retrieval-Augmented Generation, Multi-Cloud, HybridCloud, Data Lakes, Pure Storage, Commvault - **Published:** October 22, 2026 - **Apply:** https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Boeblingen-Baden-Wurttemberg-Germany/Unstructured-Data-Sales-Specialist---AI--Analytics---Cyber-Resilience--f-m-d-_1215236-2 ## About the Role * 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 language. Preferred Market & Technology Knowledge Strong familiarity with several of the following is preferred: * Enterprise file and object storage * S3, NFS and SMB * AI infrastructure, inference and RAG * Data lakes, Lakehouse's and analytics * Backup, recovery and cyber resilience * Hybrid and multi-cloud data architectures * High-performance data infrastructure Experience with or selling against platforms from Dell Technologies, NetApp, Pure Storage, VAST Data, WEKA, Cohesity, Commvault, IBM, Scality, Cloudian, or similar enterprise data infrastructure providers is highly desirable., * You are a hunter, storyteller, and business builder. * You can enter an account without an active storage project, uncover an important customer problem, connect it to a differentiated technology solution, create executive urgency, and turn that conversation into qualified pipeline. * You are technically credible without needing to be the Solution Architect. You can move comfortably from a technical discussion about AI, analytics, recovery, or data architecture to an executive conversation about business risk, economics, competitive advantage, and transformation. * Most importantly, you know how to turn technology differentiation into customer preference, pipeline, and revenue. ## Description This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office., * 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 to understand customer business, application, data, and infrastructure challenges. * Translate technical differentiation into outcomes such as 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.