Product Specialist, UDS Data Management
Dell3 LocationsPosted 27 March 2026
Job Description
Outside Sales Product Specialist - Data Management
At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of products and services, they get to know their portfolio inside and out. Our Outside Sales teams rely on them for technical advice during the sales process. They directly advise customers on everything from product features and configurations, through to pricing and availability.
We are seeking senior sales candidates with a strong track record selling data management, analytics, MLOps, or AI platforms into large enterprise customers. This role is responsible for new customer acquisition, account expansion, and strategic account growth by positioning modern data platforms as the foundation for enterprise analytics and AI initiatives.
Join us to do the best work of your career and make a profound social impact as a Outside Sales Product Specialist on our Product and Solutions Sales Specialist Team in Norway, Denmark or Sweden.
What you’ll achieve
As an Outside Sales Product Specialist, you will proactively identify and solve customer business needs by providing subject matter expertise and creating solutions using Dell’s products and services.
You will:
•Manage relationships with senior level technical personnel and decision makers
•Demonstrate the value of a product and/or service technology to advance customer business objectives
•Provide insight and thought leadership to customers concerning applicability of highly complex products and services
•Act as a technical resource for the sales organization to help meet and exceed their objectives
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Core Skills & Key Responsibilities
· Bring 5 years of enterprise sales experience in data management and analytics, ideally with vendors such as Databricks, Snowflake, Denodo, Informatica, Teradata, ScaleAI or similar.
· Develop and execute account strategies aligned to customer data, analytics, and AI transformation initiatives that are focused on Dell’s AI Data Platform Data Engines.
· Engage senior customer stakeholders, including CIOs, CDOs, CTOs, and Heads of Data, Analytics, and AI.
· Lead value-based sales conversations that connect measurable business ROI based outcomes to the AI Data Platform.
· Position competitively and win against incumbent and next-generation data platform providers.
· Demonstrate a strong understanding of modern data architectures (data warehouses, data lakes, lakehouse models, and vector databases for AI/RAG) at a business and value level.
· Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like intelligent search, document analysis, and conversational AI.
· Position the platform's capabilities for handling unstructured data (documents, images, logs) alongside structured data for comprehensive AI solutions
· Show familiarity with data engineering, analytics, BI, and data science workflows sufficient to sell AI based outcomes and guide customer conversations.
· Connect data and AI initiatives to executive priorities such as AI adoption, cost optimization, revenue growth, and operational efficiency.
Desirable Requirements
•8 to 12 years of related experience in a relationship selling role
•Bachelor’s degree
• Norwegian/Danish/Swedish language
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career wi ... (truncated, view full listing at source)
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