Principal Pre-Sales Consultant – Knowledge Graph

Siemens; Madrid; Híbrido; EUR 77.100 - 138.800; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health and wellness benefits

Descripción de la vacante

Siemens Digital Industries Software seeks a Principal Pre-Sales Consultant to help enterprise customers navigate AI transformation, connecting business challenges to Siemens' Knowledge Graph capabilities. You will shape strategic opportunities, lead technical discovery, and guide executive stakeholders through data AI strategies across global deployments.

You will demonstrate how Graph Studio and Graph Lakehouse form the foundation of agentic enterprises, reduce hallucinations, and improve

Formación

• 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.

Responsabilidades

• Lead technical discovery sessions with enterprise customers and assess Data & AI infrastructure.
• Own the technical relationship throughout the sales cycle and architect scalable graph-based solutions.
• Plan and orchestrate Proof-of-Value activities with clients.
• Collaborate with product teams and feed customer insights back into the roadmap.
• Demonstrate how Graph Studio & Lakehouse support an agentic enterprise and improve LLM accuracy.

Conocimientos

Knowledge graphs

Semantic web

Graph databases

Data fabrics

Communication skills

Executive influence

Bilingual: Spanish/English

Herramientas

Graph Studio

Graph Lakehouse

Descripción del empleo

Principal Pre-Sales Consultant – Knowledge GraphCompany 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 Spanish 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 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 total cash compensation range for this position is €77,100 to €138,800 with 30% 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: https://jobs.sw.siemens.com/benefits/

Siemens Software. Transform the Everyday

#SaaS

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 in mission-critical environments where reliability matters

Strategic Influence

Guide enterprise AI adoption at the architectural and executive level