About the Role
We are looking for an outstanding and visionary product leader who is passionate about serving the AI builder community. This person will define and drive the execution of our product strategy and roadmap across the builder journey with a growing portfolio that spans MongoDB's AI centric tooling -- such as our MCP server, Agent Skills, and AI framework support. You will also serve as a bridge to ensure the AI builder experience interfaces well across our tooling, such as via the Intelligent Assistant in MongoDB Compass, mongosh (MongoDB’s shell), Atlas CLI, IDE-specific integrations and extensions and local development experiences, to libraries such as language drivers and application frameworks. You will collaborate closely with stakeholders at every level of the organization, including executive leadership and cross-functional teams across multiple business units, to ensure that all MongoDB features are seamlessly woven into one of the best builder experiences in technology as we move fully into the age of AI. Your leadership in this role will be instrumental in not just maintaining, but increasing and intensifying builders’ love of MongoDB. This role follows a hybrid working model in our Dublin office.
What You'll Do
- Lead and develop a high-performing product team. You'll manage a team of product managers, including managers of managers, creating an environment where people grow, stay challenged, and do their best work. You'll be a hands-on coach who can help your team get unstuck — not just a strategist, but someone who has shipped complex products themselves.
- Define and own a coherent vision across a broad portfolio. Builder Experience isn't a single product — it's a collection of interconnected tools, libraries, and frameworks. You'll develop a strategy that makes the whole greater than the sum of its parts, and communicate that vision clearly to stakeholders up and down the organization.
- Set goals, track the right metrics, and drive outcomes. Builder tooling doesn't have a direct revenue line, but it has a profound impact on activation, retention, and churn. You'll build a strong partnership with product analytics to identify the right signals, formulate meaningful metrics, and use data to drive decisions.
- Be a credible technical voice. You'll engage deeply with engineering directors and architects on decisions involving network protocols, distributed systems, and client libraries. You won't write the code, but you'll need to understand it well enough to help the team make the right tradeoffs, communicate confidently with technical customers, and be a strong advocate for the builders out there who are creating with MongoDB.
- Champion AI as a first-class capability. Developers and builders across business are increasingly relying on AI to build but also building AI-native applications, and MongoDB is at the center of this shift. You'll help ensure our builder tooling is purpose-built for the AI era — and you'll bring genuine enthusiasm for what that means for the products your team owns.
- Partner deeply with engineering and design. You'll be a trusted counterpart — not a gatekeeper — to your engineering and design partners. When hard prioritization calls have to be made, you'll bring the team along with transparency and clear reasoning.
- Drive go-to-market as a product leader. You understand what a productive collaboration with product marketing looks like. You'll help shape messaging and positioning for a builder audience, and you'll be a participant in that process — not someone who throws products over the fence and expects others to figure out how to talk about them.
- Represent Builder Experience to the business. This is a highly visible role. You'll present roadmaps and strategies to executive leadership, engage with key customers, and serve as the organizational voice for why builder experience matters to MongoDB's long-term success.
What We're Looking For
- 12+ years of product management or engineering experience, including meaningful time managing product teams and managers.
- A strong track record of taking complex, technically sophisticated products from 0 to shipped — and the coaching instincts to help others do the same.
- Deep technical credibility: you can engage confidently on topics like client libraries, network protocols, distributed systems, and developer tooling — because you've built software yourself at some point in your career.
- Real-world experience building products for builders and developers — you've felt the pain firsthand and you know what moves the needle.
- A growth mindset when it comes to business impact: you understand how builder tools connect to activation, retention, and platform success even when revenue isn't the direct output.
- Genuine enthusiasm for AI — you understand how builders are creating with AI and building AI applications today and you're excited to help MongoDB be the platform they reach for when they do. And you use it regularly in your day to day.
- Experience working with product analytics to define metrics, interpret data, and use it to inform strategy and prioritization.
- Strong stakeholder management and communication skills — you're as effective in an executive review as you are in a working session with an engineering team.
- Experience at a company of meaningful scale, with an understanding of how to navigate process and organizational complexity in service of getting great products built.
- Familiarity with builder focused go-to-market, including messaging, positioning, and what it means to market to a technical audience.
Success Measures
Within 30 days:
- Develop a deep understanding of the AI Builder Experience portfolio, including the current state of AI interfaces and AI frameworks.
- Build strong working relationships with your engineering, design, and product marketing counterparts.
- Get to know your team: understand their strengths, development goals, and where they need support.
Within 60 days:
- Evolve the existing vision and strategy for the AI Builder Experience portfolio.
- Further establish a metrics framework that connects builder tooling outcomes to broader business goals.
- Actively participate in hiring, performance conversations, and team development activities.
Within 90 days:
- Ship meaningful improvements across the portfolio that demonstrably improve builder activation and satisfaction.
- Complete a roadmap aligned with the initiative to ensure MongoDB remains the best database for AI.
- Be recognized as a cross-functional leader who engineering, design, and marketing partners trust and want to work with.