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Staff Technical Product Marketing Manager, Context Engineering

Lead positioning and product adoption for MongoDB's AI and context solutions in a hybrid role based in Dublin.

Location
Dublin, Ireland
Compensation
Not disclosed
Level
staff
Type
full time · Hybrid

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 3 days ago

AI in the day-to-day

The role involves deep technical expertise across the context stack, including various AI tools and models.

Requirements

Experience
7–10 years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

Health Insurance Parental Leave

Joblaze summary

In this role, the Staff Technical Product Marketing Manager focuses on driving the strategy and execution for MongoDB's context engineering portfolio, ensuring alignment with business goals while crafting compelling messaging for diverse user personas. The position demands a strong technical background in AI and developer tools, particularly within the context stack, alongside proven marketing skills to translate complex concepts into clear communications. Ideal candidates will have extensive experience in product marketing or related fields, particularly in fast-paced tech environments, and a deep understanding of developer pain points. MongoDB's commitment to innovation and a supportive cu

Joblaze insights

  • Listed about a month ago — first seen on Joblaze August 13, 2026. Last confirmed on MongoDB's careers page October 6, 2026.

Quick facts

Is the Staff Technical Product Marketing Manager, Context Engineering role remote?
It's hybrid — MongoDB expects some on-site time in Dublin, Ireland.
How much experience is required?
7–10 years of relevant experience for this Staff Technical Product Marketing Manager, Context Engineering role.
Where is the role based?
MongoDB is hiring for this position in Dublin, Ireland.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot.
What seniority level is this role?
MongoDB targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Technical Product Marketing Manager, Context Engineering role at MongoDB.

From the original posting

We’re hiring a Staff 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 cloud infrastructure — and the ability to effectively connect a product area to its business impact
  • Genuine 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 agents
  • A strong bias for action and the ability to decompose problems into effective solutions and drive execution cross-functionally
  • A 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 appearances

MongoDB is an equal opportunities employer.

Req ID: 3273517778

Standard company text repeated across MongoDB's postings is omitted here.

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