Staff Technical Product Marketing Manager (Context Engineering)

MongoDB; Dublin; On-site; EUR 120,000 - 150,000; Full time

Job summary

MongoDB in Dublin is seeking a Senior Technical Product Marketing Manager to lead positioning, messaging, and product adoption across our AI and agentic context solutions. You will partner with product, engineering, developer relations, and sales to align strategy with business goals.

You will own GTM for the context engineering portfolio, develop data-driven messaging for developers and platform teams, and create technical content that shows how MongoDB tools work together to enable

Responsibilities

• 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.
• 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.
• 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

Job description

• 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
• 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

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 personasThe 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 applyThe 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 consumedThis 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 requirementsProven 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 successProven ability to bring strong, data-driven judgment to day-to-week workDeep understanding of the agentic development stack — Model Context Protocol, coding agent tooling (Claude Code, Cursor, Copilot, Codex), CI/CD, and cloud infrastructure — and the ability to effectively connect a product area to its business impactA strong bias for action and the ability to decompose problems into effective solutions and drive execution cross-functionallyGenuine empathy for developer and platform-team pain points, with the ability to understand the common use cases and implementation specifics customers face when adopting coding agentsA low ego-to-talent ratio and ability to effectively represent the company as a subject matter expert in executive-level customer calls, analyst briefings, and public appearancesHigh-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 leadershipA 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