Product Marketing Manager, AI Capabilities & Developer Enablement

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Job Overview As Product Marketing Manager, AI Capabilities & Developer Enablement, you own how Neo4j’s AI capabilities show up to the developer audience, how our technology integrations are positioned, and the sales enablement infrastructure that turns capability stories into field behavior. You translate GraphRAG, agents, agent memory, MCP, and our integration ecosystem into messaging that earns developer trust, then build the plays, decks, and certification that help the field win deals with it. This is a builder’s role on a small, senior, systems-first team. You own the messaging architecture, the proof, and the field-facing assets for the developer persona, and you pull on teammates, agentic pipelines, and partners to deliver. The ideal candidate is part developer marketer, part field operator, and part builder. You are comfortable getting hands-on with the product (a free AuraDB instance, a GraphRAG demo, an integration with an agent framework), and equally comfortable turning what you learn into a one-page sales play that a seller can run the next morning. Key Responsibilities AI capabilities messaging for developers : Contributed to the messaging architecture and proof points for Neo4j’s AI capabilities, targeting technical, developer, and AI-engineering audiences. Translate GraphRAG, agents, agent memory, and Cypher AI into credible, differentiated stories that respect developer intelligence. Technology integrations : Own positioning and messaging for Neo4j’s integration ecosystem, including agent frameworks (LangChain, LlamaIndex), MCP servers, cloud and data-platform partners (Databricks, Snowflake, Microsoft), and the connectors and APIs developers build with. Make the ecosystem story part of the core narrative, not an appendix. Sales enablement infrastructure : Build and maintain the enablement that turns capability stories into field behavior: first-call decks, talk tracks, objection-handling guides, discovery question banks, demo guidance, and live training. Design it as a system the field actually uses, not a pile of one-off decks. Win-loss analysis : Partner with sales, sales engineering, and revenue operations to run structured win-loss programs. Surface patterns by competitor, segment, and use case, and feed insights back into messaging and product priorities. Sales enablement : Build and deliver enablement that arms global sellers and SEs to handle competitive deals with confidence. This includes objection-handling guides, talk tracks, discovery question banks, demo guidance, and live training sessions. Launch support : Partner on AI capability and integration launches, owning developer-facing messaging, demos, and enablement so each release lands with the field and the community. Customer zero : Use the product the way our developers do. Prototype with it,