The opportunity
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…
What you'll do
Work closely with recruiting to hire a team of Python and TypeScript: engineers who will build and own MongoDB integrations across a broad AI framework ecosystem that includes technologies like Langchain, LangGraph, LlamaIndex, n8n, and Mastra
Execute effectively in a fast-moving environment where priorities may shift: week to week based on framework changes, customer demand, partner needs, and strategic opportunity. Deliver quickly while keeping a high standard of technical quality
Flag issues, concerns, and resource needs early, working with management to: triage, staff, borrow expertise, and cross-functionally hand off completed projects as needed
Work closely with product managers, program managers, sales, GTM, and peer: engineering teams to define, prioritize, and deliver capabilities that improve the builder experience and strengthen MongoDB’s position in the AI framework ecosystem; help decide where to invest effort and where to pull back
Manage dependencies on drivers, platform capabilities, and other MongoDB: product surfaces required to deliver excellent framework integrations
Collaborate with external teams who own open source projects MongoDB: integrates with, maintaining a high standard of professionalism and courtesy to work effectively through external maintainer review cycles to land high-quality upstream contributions
What they're looking for
- + 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
- + 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
