{"id":606747,"url":"https://alion.io/job/ddn-ai-value-engineer","title":"AI Value Engineer","company":{"id":672909,"name":"DDN","domain":"ddn.com","url":"https://alion.io/company/ddn","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":94,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0.429,"time_to_fill_p50_days":43,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":139000,"period":"year","method":"role_seniority_country_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-09-02T09:26:36Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-28T18:45:25Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"AI Value Engineer, EMEA\nAbout the Role\nThe AI Value Engineer, EMEA, will help enterprise customers quantify and communicate the business value of DDN’s AI and data infrastructure solutions.\nAs part of DDN’s global 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.\nYou 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.\nKey Focus Areas\nDemo Excellence: Enhancing how DDN presents its technology and customer value during sales engagements.\n\nScalable Value Engineering: Creating repeatable frameworks and tools for value discovery, ROI, TCO, and business case development.\n\nField Enablement: Helping customer-facing teams and partners use value engineering assets confidently and effectively.\n\nCommercial Impact: Supporting strategic opportunities and measuring how CoE initiatives contribute to customer outcomes, pipeline progression, and revenue.\n\nResponsibilities\nLead AI value discovery workshops with enterprise customers and prospects.\n\nUnderstand customer AI strategies, use cases, workloads, and infrastructure challenges, translating them into measurable business outcomes.\n\nBuild compelling ROI, TCO, and business case models for AI and data infrastructure investments.\n\nQuantify the financial impact of AI infrastructure decisions, including improvements in productivity, utilization, performance, scalability, operational efficiency, and time-to-value.\n\nDevelop AI-specific value frameworks, methodologies, and tools that can be reused across customers, industries, and sales cycles.\n\nHelp customers understand the economics of AI, from experimentation and proof-of-concept through to production-scale deployment.\n\nPartner with Product Marketing and Product teams to develop AI value messaging, customer proof points, and success metrics.\n\nBuild and maintain benchmarks, market intelligence, and competitive insights relating to AI infrastructure and economics.\n\nHelp establish and scale DDN’s AI Value Engineering Centre of Excellence.\n\nQualifications\n5+ years of experience in Value Engineering, Management Consulting, Strategy, Solutions Consulting, Sales Engineering, or a similar customer-facing role.\n\nExperience building ROI, TCO, financial models, and investment business cases.\n\nStrong analytical skills, with the ability to turn complex data into a clear commercial story.\n\nExcellent presentation and communication skills, particularly with senior executives.\n\nComfortable working across long, complex enterprise sales cycles and multiple stakeholders.\n\nAbility to work across multiple countries and cultures in a fast-moving environment.\n\nBachelor’s degree in Business, Economics, Engineering, Computer Science, or a related discipline.\n\nPreferred Qualifications\nUnderstanding of AI/ML workloads and the infrastructure required to support them.\n\nExperience working with enterprise customers on AI strategy, transformation, or technology investment decisions.\n\nFluent English; 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