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Senior Solutions Engineer

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Onsite

Senior Solutions Engineer

Neo4j

Senior Solutions Engineer

Skills

PythonData ScienceJavaMachine LearningAIJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

24 September 2026

What they need


  • Neo4j is the world’s leading graph database, and our Solutions Engineering (PreSales) team plays a pivotal role in helping customers unlock its potential every day
  • Neo4j has established itself as a premier data and AI platform for enterprise use cases across Knowledge Graphs, Network & Grid Topology, Root-Cause & Impact Analysis, Fraud & AML, Customer 360, Asset Intelligence, and modern AI workloads including GenAI, LLM-driven applications, and emerging Agentic AI architectures
  • As part of Neo4j’s Solutions Engineering (PreSales) organization, you will work directly with strategic and enterprise customers across several key Benelux verticals — including High-Tech Manufacturing, Energy & Utilities, Telecommunications, Financial Services, and the Public Sector
  • You’ll provide technical and architectural leadership, helping customers design Neo4j-powered solutions that deliver measurable business value
  • The role of a Solutions Engineer (PreSales) encompasses a broad range of responsibilities, starting with understanding a customer’s unique requirements and environment
  • You’ll translate these into tailored solution architectures that incorporate Neo4j’s advanced graph technology, guiding stakeholders throughout the sales cycle
  • Daily work includes demonstrating Neo4j’s capabilities, whiteboarding solution designs, and engaging with technical decision-makers to align solutions with their strategic priorities
  • You’ll bridge the gap between business and technology, combining technical strength with the ability to articulate clear value and outcomes
  • Act as a central player in Neo4j Solution Engineering engagements, supporting customers across the entire customer lifecycle — from early discovery to architecture design, proof-of-value, and long-term adoption
  • Build and nurture strong relationships with strategic and enterprise customer teams
  • Partner closely with Account Executives to communicate the technical and business impact of graph solutions
  • Ensure strong technical alignment and smooth integration of Neo4j into customer environments
  • Provide architectural recommendations aligned with customer strategies and IT landscapes
  • Design and present Neo4j-based prototypes that demonstrate both technical feasibility and business value

Benefits

  • Competitive health and financial programs tailored to each region
  • Work-life balance initiatives
  • Cross-functional collaboration opportunities
  • Employee Resource Groups (ERGs)
  • Mentorship programs- Technical Proficiency: Familiarity with a programming or scripting language (Java, Python, JavaScript, etc.)
  • Solution Design: Ability to translate business requirements into effective solution architectures
  • Enablement: Ability to lead technical workshops and small-group sessions
  • Database Expertise: Strong understanding of database platforms, particularly NoSQL
  • Consultative Skills: Proven experience guiding technical teams through complex, consultative engagements
  • Problem-Solving: Passion for tackling complex technical challenges with innovative solutions
  • Experience: At least 5 years in PreSales / Solutions Engineering or Professional Services, ideally with enterprise customers in High-Tech, Energy, Telecom, Financial Services, or Public Sector
  • Adaptability: Strong desire to learn and quickly adopt emerging technologies
  • Sales Alignment: Comfortable managing the technical aspects of enterprise sales cycles
  • Hands-on experience with graph technologies (Neo4j, Cypher, GDS, GraphQL)
  • Experience with vector search, embeddings, or semantic retrieval
  • Background in graph data science, network analysis, or ML pipelines
  • Knowledge of GenAI, LLM architectures, RAG, or Agentic AI frameworks
  • ETL, data integration, or data virtualization expertise
  • Familiarity with complex enterprise IT environments

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