Engineering Manager, AI Builder Experience

AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI Builders Experience org at MongoDB, we’re forming a brand new engineering team to make that happen, and we...

In this role, you'll be close enough to the code to jump into exploratory work yourself while also building the team, process, and operational rigor to keep a growing integration portfolio healthy long-term. The new team will work mostly in Python and TypeScript while collaborating closely with client library teams ...

You’ll collaborate closely and move quickly with product, partners, field teams, the developer community, and open source project maintainers to ship where demand is real, deepen investment where adoption proves out, and evolve the portfolio over time as it becomes a critical part of MongoDB’s future in AI.

8+ years of experience building developer platforms, libraries, or other high-scale technical systems, with strong proficiency in Python or TypeScript and an ability to lead teams working across both the Python and TypeScript ecosystems. Experience working with programming language polyglot teams is a plus
3+ years of experience managing a team of software engineers and providing technical leadership for complex projects or products
Experience with query optimization (especially MongoDB) and AI coding tools; distributed systems experience would be an asset
Demonstrated success hiring, mentoring, and growing high-performing engineering teams, including experience supporting career development, feedback, and performance management
Demonstrated ability to operate effectively in a fast-moving technical landscape with frequent context switching, incomplete information, and competing opportunities, while maintaining sound prioritization and strong judgment
Strong technical depth in developer-facing software, with the judgment to make and guide architectural trade-offs
Experience leading the launch of new features or systems and operating them successfully in production after release
Excellent written and verbal technical communication, with a strong instinct to collaborate across engineering, product, and other stakeholder groups
A track record of escalating issues early and fostering a team culture that values intellectual honesty and collaboration
Comfort operating in ambiguous, evolving spaces and helping teams make progress when customer behavior, technical requirements, or ecosystem priorities are still taking shape
Strong and demonstrated interest in modern AI builder workflows and the developer tooling landscape, ideally with familiarity across frameworks, retrieval patterns, agent workflows, embedding, vector search, or adjacent areas; experience in this area would be an asset
Experience working with open source software, external ecosystems, or integrations with third-party frameworks and communities, especially in the Python ecosystem; familiarity with open source contribution models, external maintainers, and engineering work that spans company-owned and upstream repositories would be a plus
In the first month, you will understand the team’s scope, the high-level architecture of the platform and integrations, the current portfolio of work, and the key technical and organizational dependencies around the role. You will start building relationships with cross-functional partners, especially recruiting, and develop a hiring plan
In three months, in collaboration with our recruiting team, you will have a healthy candidate pipeline and the first members of your new team onboarding. You’ll have a hand-off plan with the teams currently owning AI Framework Integrations
In six months, you will have staffed the core of your team, demonstrated effective partnership with recruiting, taken responsibility for major initiatives in the upcoming quarter, and improved the team’s ability to execute through technical and organizational ambiguity
In twelve months, you’ll be having active growth conversations with your team members about performance and longer-term career development. You’ll have led the development and operation of multiple meaningful features or integrations and helped shape the forward-looking technical and execution strategy for this area

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 - 3273511657