Principal Presales Consultant - Knowledge Graph (m/f/d)

Stellenbeschreibung:

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

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 uncover 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, architect scalable graph‑based solutions, and provide hands‑on guidance during customer evaluations
Plan and orchestrate the delivery of strategic Proof‑of‑Value activities with clients
Collaborate with the product teams, feeding 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 are the foundation of an agentic enterprise and enhance LLM accuracy, reduce hallucinations, and enable 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, and we hire 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% of this being comprised of an annual incentive target (100% achievement). 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:

Our Commitment to Equity and Inclusion

We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.