Principal Pre-Sales Consultant - Knowledge Graph

Mendix is a Siemens Business:

Siemens is a Top 10 Global Software Company and a leader on Fast Company's Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens' unbeatable legacy and resources.

Principal Pre-Sales Consultant - Digital, Data, Analytics & AI

Siemens Digital Industries Software

Siemens is redefining how enterprises turndata into action. By combiningMendix low-code applicationswithadvanced data, analytics, and AI platforms, Siemens enables organizations to move from insights to AI-driven operational impact at scale.

With the2025 acquisition of Altair and it's Rapidminer Data & AI portfolio, Siemens now offers a leadingKnowledge Graph platformthat integrates, models, and reasons over complex data to powerGenerative AI, Agentic AI, and autonomous systems.

We are seeking aPrincipal Pre-Sales Consultantto help customers navigateenterprise AI transformation, connecting business challenges to Siemens' end-to-end digital, data, and AI capabilities.

If you thrive at the intersection of deep technical mastery and strategic storytelling, and you're ready to shape how the world's most ambitious companies unlock the power of connected data, this is your seat at the table. This role is at the forefront of transforming global leading companies into agentic enterprises, by defining, scaling or reinforcing their semantic layer via our

As Principal Solutions Architect, you will:

• Lead technical discovery sessions with enterprise customers, assessing their Data & AI infrastructure, AI/ML maturity, and uncover strategic opportunities to position Siemens'Knowledge Graph platformas the foundation forenterprise-grade Agentic and Generative AI
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• Own the technical relationship throughout the sales cycle, identifying high-value business cases for graph, architect scalable graph-based solutions, and provide hands-on guidance during customer evaluations.
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• Plan and orchestrate the delivery of strategic Proof-of-Value activities with clients
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• Collaborate with the product teams, you will also feed real-world customer insights back into the product roadmap, ensuring RapidMiner's graph capabilities stay ahead of market demand
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• Demonstrate howGraph Studio & Graph Lakehouseare the foundation of an agentic enterprise and enhance LLM accuracy, reduce hallucinations, and enable agents
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• Lead the creation of comprehensive business impact demonstrations
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• Advise C-suite and technical stakeholders onData-and-AI strategyand roadmap
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What You Bring:

• Minimum of 5 years experience in Pre-Sales, sales engineering, solution architecture, or technical consulting
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• Deep understanding of knowledge graphs, semantic web technologies, graph databases, or data fabrics
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• Strong communication skills, explaining complex problems in simple terms
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• Ability to influence executives and guideenterprise-scale AI adoption
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• Full professional proficiency in German and English (written and spoken)
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Bonus / Nice-to-Have:

• Exposure toRAG, Agentic AI, or enterprise GenAI deployments
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• Knowledge of low-code AI tools
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Why This Role at Siemens

From Data to Action: Mendix + Graph Studio + Lakehouse = integrated path from insights to operational AI

Semantic AI Foundation: Knowledge Graphs ensuretrust, context, and explainabilityfor enterprise AI

Industrial & Enterprise Scale: Apply AI inmission-critical environmentswhere reliability matters

Strategic Influence: Guide enterprise AI adoption at thearchitectural and executive level

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.