Overview In this role you drive revenue growth by identifying and closing opportunities in AI, analytics, and cyber-resilient data infrastructure. You will build and manage pipeline within strategic accounts, turning technical differentiation into measurable business outcomes. You’ll engage across CIO/CTO and data leaders to articulate value and shape modern data architectures. This is a high-impact, cross-functional role that blends storytelling with technical insight to accelerate data modernization and resilience. Compensaciones / Incentivos * Health & wellbeing benefits * Career development programs * Unconditional inclusion and flexible work culture Responsabilidades * Create and own qualified pipeline within assigned strategic accounts and territories * Identify whitespace, displacement opportunities, and new use cases beyond traditional storage refresh cycles * Develop opportunities across AI infrastructure, analytics, cyber resilience, and high-performance data architectures * Lead consultative discovery to understand customer business, data,



and infrastructure challenges * Translate technical differentiation into business outcomes such as faster recovery, better AI performance, and lower cost * Build a compelling why-change and why-now value proposition for HPE * Engage senior stakeholders and collaborate with account teams, solution architects, partners, and marketing * Develop and execute competitive strategies against incumbent and emerging data infrastructure providers * Represent HPE at customer workshops, executive briefings, and partner engagements Requisitos principales * 7+ years of enterprise technology sales, specialist sales, or business development experience * Proven 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 translate technical arc

📌 Unstructured Data Sales Specialist – AI, Analytics (Madrid)
🏢 Hewlett Packard Enterprise
📍 Madrid