Tech Stack

Description

You'll help AI-focused startups in Neo4j's Startup Program succeed with graph + LLM solutions, guiding them from early experimentation through production adoption. This role blends solution architecture, technical advisory, and ongoing customer engagement to drive deep adoption of Neo4j.

Requirements

• Strong hands-on experience with Neo4j or other graph databases
• Experience in solutions engineering, solution architecture, or customer-facing technical role
• Ability to debug and optimize real-world Neo4j implementations
• Experience with AI frameworks such as LangChain, LlamaIndex, vector search, LLMs
• Ability to move between high-level architecture and detailed implementation

Responsibilities

• Serve as primary technical point of contact for AI startups in the program
• Guide teams in designing, building, and deploying Neo4j-based architectures
• Help startups design LLM-enabled solutions using Neo4j (RAG, knowledge graphs, agent architectures)
• Own technical relationship with startups, run check-ins, track progress, identify risks
• Contribute to internal enablement content and best practices for graph + AI patterns