AI Value Engineer, EMEA
About the Role
The AI Value Engineer, EMEA, will help enterprise customers quantify and communicate the business value of DDN’s AI and data infrastructure solutions.
As part of DDN’s integral Go to Market Centre of Excellence, you will support strategic customer opportunities while developing reusable value frameworks, tools, and methodologies for Sales and Solution Engineering teams worldwide.
You will operate at the intersection of AI, technology, strategy, and commercial value—translating complex infrastructure decisions into compelling demonstrations, measurable outcomes, and clear investment cases for both technical and C-level audiences.
Key Focus Areas
Demo Excellence: Enhancing how DDN presents its technology and customer value during sales engagements.
Scalable Value Engineering: Creating repeatable frameworks and tools for value discovery, ROI, TCO, and business case development.
Field Enablement: Helping customer-facing teams and partners use value engineering assets confidently and effectively.
Commercial Impact:
Supporting strategic opportunities and measuring how CoE initiatives contribute to customer outcomes, pipeline progression, and revenue.
Responsibilities
Lead AI value discovery workshops with enterprise customers and prospects.
Understand customer AI strategies, use cases, workloads, and infrastructure challenges, translating them into measurable business outcomes.
Build compelling ROI, TCO, and business case models for AI and data infrastructure investments.
Quantify the financial impact of AI infrastructure decisions, including improvements in productivity, utilization, performance, scalability, operational efficiency, and time-to-value.
Develop AI-specific value frameworks, methodologies, and tools that can be reused across customers, industries, and sales cycles.
Help customers understand the economics of AI, from experimentation and proof-of-concept through to production-scale deployment.
Partner with Product Marketin
📌 AI Value Engineer (Madrid)
🏢 DDN
📍 Madrid