DDN provides high-performance data intelligence and storage platforms that enable rapid, low-latency, high-throughput data access for NVIDIA GPU clusters, accelerating AI, LLM, GenAI, RAG, and HPC workloads.
DDN is seeking a Value Engineer Leader to create the Value Selling Practice at DDN Go-To-Market, the Value Engineering leader will help customers quantify and articulate the business value of DDN's AI and data infrastructure solutions. This role partners closely with Sales, Finance, Product, and Executive Leadership to build compelling business cases and ROI frameworks that support strategic customer engagements. This is a NA (that can be extended to Global) role, the Value Engineering Team will be responsible to create Business Value Proposals, Calculators and show the huge benefits of investing in DDN by our Strategic Customers. This role serves as a key resource for the Go-To-Market organization, by developing Out-Side-In and Dedicated Value Calculators that communicate business value, we expect the VE Team to be engaged directly in the most strategic DDN Deals. RESPONSIBILITIES - Develop value assessment methodologies for enterprise and AI infrastructure opportunities. - Create ROI, TCO, business case, and financial impact analyses. - Partner with Sales teams on strategic customer pursuits. - Conduct executive-level workshops focused on business outcomes. - Develop customer-specific value models and transformation roadmaps. - Create industry benchmarks and competitive economic analyses. - Support account planning and large deal strategies. - Build repeatable value engineering tools and frameworks. QUALIFICATIONS - Bachelor's degree in Business, Engineering, Finance, Economics, or related field. - 7+ years of experience in Value Engineering, Management Consulting, Sales Strategy, Technical Sales, or Financial Analysis. - Strong financial modeling and analytical skills. - Ability to communicate effectively with C-level executives. - Experience building ROI and TCO analyses. PREFERRED QUALIFICATIONS - Experience in enterprise technology, AI infrastructure, cloud, storage, or data management. - Experience leading similar global programs or operational initiatives. - Background in consulting firms or enterprise software vendors. - MBA preferred.