Product Marketing Manager – AI Capabilities, Developer Enablement

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🇺🇸 United States – Remote

💵 $110k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

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Neo4j

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

☁️ SaaS

🏢 Enterprise

SaaS • AI • Enterprise

Neo4j is a leading company that provides graph database technology, enabling organizations to connect and analyze vast amounts of data through its platform. As the creators of the Neo4j Graph Database and the Cypher query language, they offer solutions like Neo4j AuraDB and Neo4j Graph Data Science to help businesses deploy graph applications efficiently, whether self-managed or fully-managed. Their tools are designed for developers and data scientists to easily build and visualize graph-based applications, improving data relationships and insights. Neo4j supports various use cases, including fraud detection, knowledge graphs, and financial services, and is widely adopted by the developer and data science communities globally. With educational resources like GraphAcademy, they also support a large and growing global community of graph technology experts.

📋 Description

• 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, build demos, and bring that hands-on credibility into every story you tell.

🎯 Requirements

• Bachelor’s degree in Marketing, Business, Engineering, or a related field; MBA a plus. 3+ years in product marketing, developer marketing, sales enablement, or go-to-market strategy within the technology/software industry. • Direct experience marketing to a developer or technical-practitioner audience, ideally for data infrastructure, databases, developer tools, or AI/ML platforms. • Proven track record building sales enablement that the field actually uses: first-call decks, plays, objection handling, and certification, plus experience running or contributing to a structured win/loss program. • Technical acumen to get hands-on with the product, read documentation and architecture diagrams, and form a defensible point of view. You do not need to be an engineer today, but you should be able to learn complex technical categories quickly. • Strong writing and presentation skills. You can write a one-page play and design a 30-minute certification session with equal ease. • Proven ability to work across product, sales, sales engineering, DevRel, and partner marketing, and to move work forward through influence rather than authority. • Familiarity with GraphRAG, agents, vector databases, knowledge graphs, or GenAI architectures is a strong plus. Comfort using AI tools in your own workflow is expected; we are an agent-native team.

🏖️ Benefits

• medical, dental, and vision benefits • 401(k) • paid time off • certain leaves of absence • stock option grant and annual bonus eligibility