Enterprise AI & Knowledge Graph Pre-Sales Leader

Siemens

Rotterdam

Hybrid

EUR 85,000 - 123,000

Full time

14 days+
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Benefits offered by this job

Health & wellness benefits
Annual incentive target 30%
Global mobility

Job summary

Siemens Software is seeking a Principal Pre-Sales Consultant to help enterprise customers navigate AI transformations by connecting business challenges to Siemens' Knowledge Graph platform and end-to-end AI capabilities.

You will lead technical discovery, own the sales-cycle technical relationship, and guide enterprise-scale AI adoption while collaborating with product teams to incorporate real-world insights into the roadmap.

Qualifications

  • 5+ years of experience in Pre-Sales or similar roles.
  • Deep knowledge of knowledge graphs, semantic web technologies, graph databases or data fabrics.
  • Strong communication skills; able to explain complex problems clearly.
  • Ability to influence executives and guide enterprise AI adoption.
  • Full professional proficiency in Dutch and English (written and spoken).

Responsibilities

  • Lead technical discovery sessions with enterprise customers to assess Data & AI maturity and opportunities.
  • 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 insights into the product roadmap.
  • Demonstrate how Knowledge Graph platform foundations enable agentic AI and improve LLM accuracy.
  • Advise C-suite and technical stakeholders on Data-and-AI strategy and roadmap.

Skills

Knowledge graphs
Graph databases
Communication skills
Executive influence
Dutch language
English language

Job description

Siemens Software is seeking a Principal Pre-Sales Consultant to help enterprise customers navigate AI transformations by connecting business challenges to Siemens' Knowledge Graph platform and end-to-end AI capabilities.

You will lead technical discovery, own the sales-cycle technical relationship, and guide enterprise-scale AI adoption while collaborating with product teams to incorporate real-world insights into the roadmap.

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