Principal Pre-Sales Consultant (Knowledge Graph)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Principal Pre-Sales Consultant (Knowledge Graph): Leading enterprise AI transformation by connecting business challenges to ' data and AI capabilities with an accent on semantic layer architecture and graph-based solutions. Focus on architecting scalable AI systems, influencing C-suite stakeholders, and driving strategic Proof-of-Value activities for global enterprise clients.
Location: Must be based in London (Hybrid)
Salary: £69,700–£105,000
Company
Digital Industries Software is a global leader in industrial software, providing solutions for product design, simulation, and manufacturing across diverse industries.
What you will do
- Lead technical discovery sessions to assess customer AI/ML maturity and infrastructure.
- Own the technical relationship throughout the sales cycle, architecting scalable graph-based solutions.
- Plan and orchestrate strategic Proof-of-Value activities for enterprise clients.
- Collaborate with product teams to feed customer insights back into the product roadmap.
- Demonstrate the value of Graph Studio and Graph Lakehouse in enhancing LLM accuracy and reducing hallucinations.
- Advise C-suite and technical stakeholders on Data-and-AI strategy.
Requirements
- Minimum 5 years of experience in Pre-Sales, sales engineering, or solution architecture.
- Deep understanding of knowledge graphs, semantic web technologies, or graph databases.
- Strong communication skills with the ability to explain complex technical problems simply.
- Proven ability to influence executives and guide enterprise-scale AI adoption.
- Full professional proficiency in English (written and spoken).
Nice to have
- Exposure to RAG, Agentic AI, or enterprise GenAI deployments.
- Knowledge of low-code AI tools.
Culture & Benefits
- Hybrid-first work environment built on trust and autonomy.
- Access to comprehensive health and wellness benefits.
- Opportunities for growth through real projects and global mobility.
- Commitment to equality, inclusion, and merit-based hiring.
- Part of a global team of 30,000 people across 200+ countries.
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