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Vacantes / Mongodb

Staff Technical Product Marketing Manager, Context Engineering

Mongodb · Dublin, Irelandsenior

En corto

  • ▸Líder técnico en marketing de producto para soluciones de contexto AI y agentes de MongoDB.
  • ▸Trabajas con datos, estrategia y contenido técnico para acelerar la adopción entre desarrolladores y equipos de plataforma.
  • ▸Destaca por dominar el stack de agentes (Claude Code, Copilot, Gemini CLI, etc.) y el protocolo MCP.

Strong written and verbal communication skills in English required

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En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

  • ✓7-10 años en marketing de producto, gestión de producto, relaciones con desarrolladores o ingeniería de soluciones
  • ✓Experiencia comprobada en tecnologías B2B, IA/ML, nube y herramientas para desarrolladores
  • ✓Capacidad demostrada de tomar decisiones basadas en datos en entornos rápidos y dinámicos
  • ✓Comunicación excepcional con públicos técnicos y no técnicos
  • ✓Dominio profundo del stack de desarrollo con agentes (incluye Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex)
  • ✓Experiencia en lanzamientos de productos y estrategias GTM para herramientas para desarrolladores

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

MCP ServerModel Context ProtocolVoyageAIAgent SkillsClaude CodeCursorGitHub CopilotGemini CLICodexIDEs

¿A quién escribirle en Mongodb?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

We’re hiring a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. This is a high-impact role for a technical marketer who thinks and acts like a builder. Most AI systems don't fail because the model is bad—they fail because they lack a crucial, contextual foundation. MongoDB owns a piece of nearly every step in that chain. This role requires deep technical expertise across the context stack—including VoyageAI embedding and reranking models, MCP Server, and the coding agent ecosystem (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, etc.)—combined with product marketing instincts to deeply understand the market and translate technical depth into crisp, differentiated messaging for distinct user and buyer personas. The ideal candidate has experience building and shipping AI-enabled products and using developer tools in their day-to-day workflows. Individuals with prior experience in technical sales, developer relations, or software development are encouraged to apply. The ideal candidate is a voracious consumer of AI research and pays close attention to shifting patterns in how software and AI applications are built and consumed. This individual is confident in communicating with technical practitioners and non-technical decision makers in one-to-few and one-to-many engagements for internal and external audiences. You will leverage your technical depth to craft clear, compelling, and highly differentiated messaging by working backward from customer requirements. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What You’ll Do • Drive Strategy & Execution: Act as the strategic owner for MongoDB’s context engineering portfolio—MCP Server, Agent Skills, VoyageAI, and more— aligning roadmap and go-to-market with MongoDB’s long-term business goals, in collaboration with Product Management, Engineering, Developer Relations, Partners, Solutions Architecture, and Sales • Drive GTM Excellence: Enable teams with data-driven positioning, messaging, and persona development for agent builders, coding agents, and the platform teams that govern them. Advise on the best tactics to reach developers where they already work—IDEs, CLIs, and plugin marketplaces • Build Technical Content: Create compelling technical content that explains how the MongoDB developer tools work together—connectivity, guardrails, and infrastructure—to help builders and agents ship production-grade MongoDB code • Dive Deep Into Data: Serve as the subject matter expert on agentic engineering adoption—MCP tool-call volume, Agent Skills usage, plugin installs across Claude Code, Cursor, Gemini CLI, and VS Code—gathering data from diverse sources and synthesizing it for internal and external audiences • Execute Product Launches: Develop and execute cross-functional launch strategies for new agent tooling functionality that grow adoption and revenue We’re Excited About You Because • Proven experience with 7-10 years in product marketing, product management, developer relations, or solutions engineering, preferably in B2B technology, AI/ML, cloud, and/or developer tools, with a strong track record of success • A demonstrated ability to thrive in a fast-paced, high-growth environment, where you are trusted to help develop and execute strategies to meet business objectives • Proven ability to bring strong, data-driven judgment to day-to-day work • High-bar communication (both verbal and written), capable of influencing the priorities of cross-functional teams and senior leaders. You should be excited to deliver your perspectives and progress to leadership • Deep understanding of the agentic development stack — Model Context Protocol, coding agent tooling (Claude Code, Cursor, Copilot, Codex), CI/CD, and

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