Principal Pre-Sales Consultant – Knowledge Graph (f/m/d)

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many industries. From Formula 1 cars to skyscrapers, ships, and space exploration vehicles, our Product Lifecycle Management (PLM) software helps create the products we use daily.

Principal Pre-Sales Consultant (f/m/d)

Position Overview

We are seeking a Principal Pre‑Sales Consultant to help enterprise customers navigate AI transformation and connect business challenges to Siemens’ end‑to‑end digital, data, and AI capabilities. The role blends deep technical mastery with strategic storytelling, shaping how the world’s most ambitious companies unlock the power of connected data. You will influence global leaders, define, scale, and reinforce 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 for 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 strategic Proof‑of‑Value activities with clients.
• Collaborate with product teams to feed real‑world customer insights back into the product roadmap, ensuring RapidMiner’s graph capabilities stay ahead of market demand.
• Demonstrate how Graph Studio & Graph Lakehouse form the foundation of an agentic enterprise, enhancing LLM accuracy, reducing hallucinations, and enabling agents.
• Lead the creation of comprehensive business impact demonstrations.
• 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 German and English (written and spoken).

Preferred

• Exposure to RAG, Agentic AI, or enterprise GenAI deployments.
• Knowledge of low‑code AI tools.

Why Us

At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You’ll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We’re committed to equality and inclusion, hiring based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow.

Our Benefits & Rewards

The total cash compensation range for this position is €90 000 to €156 000 with 20 % comprised of an annual incentive target (100 % achievement). Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: .

Our Commitment to Equity and Inclusion

We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who have experienced being different will excel as leaders. We will provide reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

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 ensure trust, context, and explainability for enterprise AI.
• Industrial & Enterprise Scale : Apply AI in mission‑critical environments where reliability matters.
• Strategic Influence : Guide enterprise AI adoption at the architectural and executive level.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies. 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.