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Principal Pre-Sales Consultant – Knowledge Graph
📅 Jun 16
📍 🇳🇱 Rotterdam - Hybrid💰 €85.1k - €123.4k / year🎺 Lead✂️ Presales Engineer📢 🇳🇱 Dutch Required📢 🇬🇧 English Required💼 Full-Time
Pre-salesSales EngineeringSolution ArchitectureTechnical Consulting
📜 Description
- Lead technical discovery to assess customers’ data and AI infrastructure, maturity, and strategic opportunities.
- Own technical customer relationships throughout the sales cycle and architect scalable graph-based solutions.
- Guide customers through evaluations and orchestrate strategic Proof-of-Value activities.
- Demonstrate how Graph Studio and Graph Lakehouse support agentic enterprises, improve LLM accuracy, and enable AI agents.
- Create business-impact demonstrations and advise executive and technical stakeholders on data and AI strategy.
- Share customer insights with product teams to inform the product roadmap.
🛠️ Requirements
- 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
- Strong communication skills, explaining complex problems in simple terms
- Ability to influence executives and guide enterprise-scale AI adoption
- Full professional proficiency in Dutch and English (written and spoken)
- Exposure to RAG, Agentic AI, or enterprise GenAI deployments
- Knowledge of low-code AI tools
✨ Benefits
- Annual incentive target of 30% of compensation at 100% achievement.
- Health and wellness benefits.
- Hybrid work arrangement.
- Global mobility opportunities.
Full job description
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.
Position Overview
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 global leading companies into agentic enterprises by defining, scaling, and reinforcing their semantic layer through our Knowledge Graph platform.
Key Responsibilities:
• 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
• Plan and orchestrate the delivery of strategic Proof-of-Value activities with clients
• Collaborate with product teams and feed real-world customer insights back into the product roadmap, ensuring our graph capabilities stay ahead of market demand
• Demonstrate how Graph Studio & Graph Lakehouse are the foundation of an agentic enterprise and enhance LLM accuracy, reduce hallucinations, and enable agents
• Lead the creation of comprehensive business impact demonstrations and advise C-suite and technical stakeholders on Data-and-AI strategy and roadmap
Required:
• 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
• Strong communication skills, explaining complex problems in simple terms
• Ability to influence executives and guide enterprise-scale AI adoption
• Full professional proficiency in Dutch and English (written and spoken)
Preferred:
• Exposure to RAG, Agentic AI, or enterprise GenAI deployments
• Knowledge of low-code AI tools
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