Principal Pre-Sales Consultant – Knowledge Graph

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 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 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, and we hire based on merit, skills, and impact.

Our Commitment to Equity and Inclusion

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

Compensation & Benefits

The salary range for this position is £69,700 to £105,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job‑related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/.

Why This Role at Siemens

• Mendix + Graph Studio + Lakehouse = integrated path from insights to operational AI.
• Knowledge Graphs provide trust, context, and explainability for enterprise AI.
• Apply AI in mission‑critical environments where reliability matters.
• Guide enterprise AI adoption at the architectural and executive level.