Neo4j — graph intelligence platform transforming data into knowledge for intelligent applications and AI systems
Enterprise-ready knowledge graphs for accurate, explainable, and governed AI
Trusted by 84 of the Fortune 100
Surpassed $200M in ARR, raised over $600M in funding, valued at over $2Bn
Responsibilities
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
Requirements
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
Strong understanding of database platforms, particularly NoSQL
Ability to translate business requirements into effective solution architectures
Familiarity with a programming or scripting language (Java, Python, JavaScript, etc.)
Proven experience guiding technical teams through complex, consultative engagements
Strong desire to learn and quickly adopt emerging technologies
Ability to lead technical workshops and small-group sessions
Comfortable managing the technical aspects of enterprise sales cycles
Beneficial: hands-on experience with graph technologies (Neo4j, Cypher, GDS, GraphQL)
Beneficial: knowledge of GenAI, LLM architectures, RAG, or Agentic AI frameworks
Beneficial: experience with vector search, embeddings, or semantic retrieval
Beneficial: background in graph data science, network analysis, or ML pipelines
Beneficial: ETL, data integration, or data virtualization expertise