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Engineering Manager, AI Builder Experience

MongoDB · Posted Nov 5

Modern database platform, cloud database-as-a-service, vector search, and developer data services

GurugramFull-timeHybridLead/Staff8+ years₹65.0L–₹1.1Cr yearly<25 applicants
Database SoftwareCloud ComputingNoSQLArtificial IntelligenceEnterprise SoftwarePublic Company
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About the role

The AI Builders Experience org at MongoDB is forming a new engineering team to make MongoDB the default data platform in AI framework ecosystems such as LangChain, LlamaIndex, and n8n. The team builds and maintains integrations in Python and TypeScript, working with client library teams, open source maintainers, and MongoDB product groups. The founding Engineering Manager will hire and lead the team, set technical direction, and ship integrations across fast-moving open-source AI ecosystems.

What you will 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
  • Jump in to do initial, exploratory work. Guide key decisions, unblock the team, and contribute when needed as projects grow
  • Own the monitoring, operations, maintenance, and ongoing quality of a broad, evolving integration portfolio; develop testing strategy, release readiness, and operational follow-through after launch
  • Help the team build and maintain sustainable engineering practices, including CI/CD, automated testing, version compatibility awareness, and strong integration health over time
  • Develop a team that stays current with the Python, TypeScript, and broader AI builder ecosystems, including important frameworks, community discussions, and emerging patterns; maintain awareness of trends and discourse in contemporary AI
  • Bring a research and discovery mindset to the role, using customer, community, partner, and field signals to help guide roadmap and investment decisions; identify emerging opportunities in the ecosystem and help decide where early investment could create strategic advantage

Skills used in this role

What the employer is looking for

  • 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

Benefits and support

  • Fertility assistance
  • Generous parental leave policy
  • Employee affinity groups

About MongoDB

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MongoDB

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MongoDB is a modern, general-purpose database platform designed to unleash the power of software and data for developers and enterprises globally. Its flagship cloud database service, MongoDB Atlas, supports flexible document models, vector search, and transactional capabilities built for modern cloud and AI-driven workloads.

Industry
Database Software
Company size
5741 employees
Founded
2007
Location
New York, New York, USA
Funding stage
Public Company

Funding

Public Company · $311M raised

Sequoia CapitalIntel CapitalRed HatAlleyCorp
  • 2015-01-01Series F$80M

Leadership

C“
Chirantan “CJ” Desai

President and Chief Executive Officer

MB
Mike Berry

Chief Financial Officer

JS
Jim Scharf

Chief Technology Officer

EV
Erica Volini

Chief Customer Officer

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