Engineering Manager, AI Builder Experience

MongoDB is hiring an Engineering Manager, AI Builder Experience in Gurugram.

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're looking for the founding Engineering Manager to hire the team, set the technical direction, and ship integrations into some of the fastest-moving open-source ecosystems in tech. In this role, you'll be close enough to the code to jump into exploratory work yourself while also bu

Requirements

• 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

Success measures

• 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

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 unle