Product Marketing Manager – AI Capabilities, Developer Enablement

🕒 Junho 17

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $110.000 - $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🖥 Engenheiro de Software

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Neo4j

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2007

☁️ SaaS

🤖 Inteligência Artificial

🏢 Corporativo

SaaS • Artificial Intelligence • Enterprise

A Neo4j é uma empresa líder que fornece tecnologia de banco de dados de grafos, permitindo que organizações conectem e analisem grandes volumes de dados por meio de sua plataforma. Como criadora do Neo4j Graph Database e da linguagem de consultas Cypher, a empresa oferece soluções como o Neo4j AuraDB e o Neo4j Graph Data Science para ajudar negócios a implantar aplicações baseadas em grafos de forma eficiente, seja em modo autogerenciado ou totalmente gerenciado. Suas ferramentas são projetadas para que desenvolvedores e cientistas de dados construam e visualizem com facilidade aplicações baseadas em grafos, aprimorando os relacionamentos entre dados e os insights. A Neo4j atende a diversos casos de uso, incluindo detecção de fraudes, grafos de conhecimento e serviços financeiros, sendo amplamente adotada pelas comunidades de desenvolvimento e de ciência de dados no mundo todo. Com recursos educacionais como a GraphAcademy, a Neo4j também apoia uma grande e crescente comunidade global de especialistas em tecnologia de grafos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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