Engineering Manager, AI Builder Integrations
Hybrid (Gurugram)full-timePosted 2mo ago
About the role
Hiring the founding Engineering Manager to lead a new engineering team focused on building and shipping integrations for AI frameworks (e.g., LangChain, LlamaIndex, n8n) within MongoDB’s AI Builder ecosystem. Role combines hands-on exploratory work with team building, technical direction, and governance to establish a scalable integration portfolio across Python and TypeScript.
Responsibilities
- Hire and lead a team of Python and TypeScript engineers to build MongoDB integrations across AI framework ecosystems (LangChain, LangGraph, LlamaIndex, n8n, Mastra)
- Execute effectively in a fast-moving environment and deliver high-quality changes
- Flag issues, triage, and coordinate with management to staff and hand off projects
- Collaborate with product managers, program managers, sales, GTM, and peer engineering teams to improve the builder experience and extend MongoDB’s position in AI frameworks
- Manage dependencies on drivers, platform capabilities, and other MongoDB product surfaces
- Collaborate with external teams and maintain professionalism through upstream review cycles
- Contribute to initial exploratory work, guide key decisions, and unblock projects as they grow
- Own monitoring, operations, maintenance, testing strategy, release readiness, and ongoing quality of a broad integration portfolio
- Develop and maintain sustainable engineering practices (CI/CD, automated testing, version compatibility, integration health)
- Keep the team current with Python, TypeScript, and AI builder ecosystems and emerging patterns
- Apply research and discovery mindset to guide roadmap and identify opportunities for strategic advantage
Qualifications
- 8+ years of experience building developer platforms, libraries, or other high-scale technical systems, with strong proficiency in Python or TypeScript and ability to lead cross-language teams
- 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 is a plus
- Proven success hiring, mentoring, and growing high-performing engineering teams and managing career development, feedback, and performance
- Ability to operate effectively in a fast-moving technical landscape with prioritization and judgment
- Strong technical depth in developer-facing software and architectural judgment
- Experience leading launches of features or systems and operating them in production
- Excellent written and verbal technical communication and cross-functional collaboration
- Track record of escalating issues early and fostering intellectual honesty and collaboration
- Comfort in ambiguous, evolving spaces and helping teams progress with changing customer behavior or ecosystem priorities
- Strong interest in modern AI builder workflows and developer tooling; familiarity with frameworks, retrieval patterns, agent workflows, embedding, vector search, etc.
- Experience with open source software and external ecosystems, especially Python; familiarity with open source contribution models and upstream maintenance
Skills
Required:PythonTypeScriptLeadership / People ManagementCI/CD / Testing Strategy
Nice to have:Open Source / Ecosystem CollaborationDistributed Systems
Benefits
- Employee benefits and culture programs aligned with MongoDB values (as described in company culture sections)
Last updated Sep 24, 2026. Interested? Apply on the company site.
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