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Neo4j

ACID graph database for connected data

Senior Solutions Engineer for Financial Services

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in PreSales, Solutions Engineering, or Professional Services; enterprise Financial Services experience is ideal.
  • Strong understanding of database platforms, particularly NoSQL.
  • Knowledge of Generative AI, large language model architectures, retrieval-augmented generation, or agentic AI frameworks.
  • Ability to translate business requirements into effective solution architectures.
  • Familiarity with a programming or scripting language such as Java, Python, or JavaScript.
  • Proven experience guiding technical teams through complex, consultative engagements.
  • Ability to lead technical workshops and small-group sessions.
  • Comfort managing the technical aspects of enterprise sales cycles.

Responsibilities

  • Support customers across the entire lifecycle, from early discovery through architecture design, proof of value, and long-term adoption.
  • Build and nurture relationships with strategic and enterprise customer teams.
  • Partner with Account Executives to communicate the technical and business impact of graph solutions.
  • Ensure 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 demonstrating technical feasibility and business value.

Desired Qualifications

  • Hands-on experience with graph technologies such as Neo4j, Cypher, Graph Data Science, or GraphQL.
  • Experience with vector search, embeddings, or semantic retrieval.
  • Background in graph data science, network analysis, or machine learning pipelines.
  • Expertise in extract, transform, and load (ETL), data integration, or data virtualization.
  • Familiarity with complex enterprise IT environments.

About the Company

Neo4j

ACID graph database for connected data

Neo4j provides a graph database that helps organizations model and analyze highly connected data. It stores data as nodes and relationships and uses the Cypher query language to traverse the graph, with ACID compliance and options like AuraDB cloud hosting, Graph Data Science, and Bloom for visualization. Unlike relational databases, its graph-first design enables fast traversals and graph analytics for enterprise use cases, offered through a freemium Community Edition and paid enterprise plans across major clouds. Its goal is to turn complex connected data into actionable insights and support scalable analytics, with broader adoption and potential IPO readiness.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$633M
Headquarters
San Mateo, CA
Founded
2007

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