Build the operating engine that makes the team great. Set the product standards the team runs on with clear decision-making mechanisms, building a culture of rapid hypothesis testing and iterative experimentation so the team moves quickly, and everyone knows what matters most and why
Set goals, track the right metrics, and drive outcomes. Builder tooling has a profound impact on activation, retention, and churn. Optimize the developer journey and reduce time-to-value for integrations. You'll build a strong partnership with product analytics to identify the right signals, formulate meaningful metrics, and use data to drive decisions
Champion agentic development. Builders are using AI to write their code and build agent-native applications, and MongoDB is the data platform at the center of that shift. Make sure our framework integrations are purpose-built for the way agents actually work, with memory, state, and context as core capabilities. Bring real enthusiasm and a clear point of view on where agentic development is going, and set ambitious goals for the builder impact that follows
Place smart, ambitious bets on where MongoDB shows up next. Shape a portfolio investment strategy that looks beyond adoption numbers to where the ecosystem is heading, balancing the integrations builders rely on today with rising frameworks and early bets that could define what comes next. Recommend where to build, where to partner, and where to step back and work with leadership and partner teams to land those calls
Be a credible technical voice. You’ll engage deeply with engineering on decisions involving client libraries, agentic workflows, and developer tooling. 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
Win the trust of the ecosystem, inside and outside MongoDB. Frameworks is partnership work at its core. Build relationships with framework maintainers and AI platforms that trust MongoDB to ship quality and stay committed after launch. Align with the Partnerships team, product marketing, developer relations, and solutions architects so everyone backing a framework moves together
What We're Looking For
7+ years of product management experience, including managing and developing IC Product Managers in a technical product organization
A track record of growing PMs with different strengths and working styles, and adapting your coaching, performance conversations, and development plans for each of them
Proven track record as a player-coach: managing direct reports while maintaining deep hands-on product, technical, and customer fluency
You’ve raised the product bar for a team, with clear prioritization, sharp product decisions, and PMs who can explain the why behind their roadmap
A data-driven approach to decisions, including partnering with product analytics to define the right metrics in order to connect builder tooling to activation, retention, and churn, even without a direct revenue line
Experience with growth loops, experimentation frameworks, or PLG motions for developer tools
Genuine passion for AI and developer experience. You are excited by how builders are working with AI and agents today, and you have a point of view on where agentic development is going
Real-world experience building products for builders and developers, with a firsthand feel for their pain and what moves the needle
Familiarity with builder-focused go-to-market, including messaging, positioning, and what it teams to market to a technical audience
Deep technical credibility to engage confidently on DevEx, client libraries, distributed systems, and developer tooling (e.g., reviewing code and docs to evaluate how an integration's architecture handles patterns and how that impacts the builder experience)
Experience building partnerships with external organizations, such as open source projects, platform companies, or technology partners, while ensuring that internal teams, like partnerships, product marketing, and developer relations, are appropriately engaged
Equally effective in an executive review as in a working session with engineers, with experience getting great products built inside a company of meaningful scale
Success Measures
Within 30 days
Develop a deep understanding of the AI Builder Experience Frameworks portfolio: each integration, who uses it and what it takes to keep it healthy
Dive deep into the full MongoDB tech stack, from core database to Atlas
Build working relationships with your engineering, product marketing, and partner counterparts
Get to know your team: understand their strengths, development goals, and where they need support
Within 60 days
Put the team’s operating engine in place, with clear prioritization and communication standards across the portfolio
Evolve the existing portfolio strategy for the AI Builder Experience Frameworks portfolio that balances customer-driven investments with a proactive arm for emerging frameworks and trends
Actively participate in hiring, performance conversations, and team development activities
Within 90 days
Have the operating engine working, with PMs making clear product calls and stakeholders knowing what the team is building and why
Turn the evolved portfolio strategy into a roadmap, and ship the first work that reflects meaningful improvements across the portfolio that demonstrably improve builder activation and satisfaction
Be recognized as a cross-functional leader who engineering, marketing, and partners trust and want to work with
Lead performance reviews and individual development plan updates with each PM on the team
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 AI-native startups and approximately 75% of the Fortune 100, 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: 3273598984
