Software
Principal Pre-Sales Consultant - Knowledge Graph
Company Overview
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
We are seeking a Principal Pre-Sales Consultant to help enterprise customers navigate AI transformation, connecting business challenges to Siemens' end-to-end digital, data, and AI capabilities. You'll operate at the intersection of deep technical mastery and strategic storytelling, shaping how the world's most ambitious companies unlock the power of connected data. This role is at the forefront of transforming integral leading companies into agentic enterprises by defining, scaling, and reinforcing their semantic layer through our Knowledge Graph platform.
Lead technical discovery sessions with enterprise customers,



assessing their Data & AI infrastructure, AI/ML maturity, and uncovering strategic opportunities to position Siemens' Knowledge Graph platform as the foundation for enterprise-grade Agentic and Generative AI
Own the technical relationship throughout the sales cycle, identifying high-value business cases for graph, architecting scalable graph-based solutions, and providing hands-on guidance during customer evaluations
Lead the creation of comprehensive business impact demonstrations and advise C-suite and technical stakeholders on Data-and-AI strategy and roadmap
Minimum of 5 years' experience in Pre-Sales, sales engineering, solution architecture, or technical consulting
Deep understanding of knowledge graphs, semantic web technologies, graph databases, or data fabrics
Full professional proficiency in Spanish and English (written and spoken)
Exposure to RAG, Agentic AI, or enterprise GenAI deployments
At Siemens Software,

📌 Pre-Sales Specialist (Madrid)
🏢 Siemens
📍 Madrid