职位描述
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 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
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 3273517778