About the role
MongoDB is seeking an Engineering Manager to lead a team of software engineers responsible for developing and maintaining the applications and platforms that power our Customer organization. From scoping and design, through implementation, deployment and monitoring, the Customer Tools team builds the systems that make our customer-facing teams successful — internal dashboards, workflow automation, data and diagnostics platforms, and a growing suite of AI-powered capabilities. This role has two closely linked mandates: modernizing how the team itself builds software by adopting AI-assisted engineering workflows, and shipping AI-native features — chat interfaces, automated analyses, and proactive insights — directly to end users across the Customer organization. The ideal candidate brings a strong technical background, hands-on familiarity with modern AI/LLM tooling, and experience managing multi-functional teams of engineers. While this role is focused on managing the team itself, a strong technical background will help provide necessary context for the work and motivations of the team.
We are looking to speak to candidates who are based in Mexico City for our hybrid working model.
Candidate Profile
- 10+ years of professional experience, including:
- 5+ years of experience managing teams of software engineers. This includes people-management responsibilities such as hiring, performance and growth management, compensation planning, and career development
- 5+ years providing technical leadership to development teams, including project scoping and design, leading code reviews, driving best practices, providing architectural guidance, and managing technical stakeholders
- 5+ years of hands-on experience building scalable high-availability systems and integrations
- Experience working with modern web technologies and infrastructure stacks, such as TypeScript, ReactJS, Python, AWS services, GitHub, Claude Code, Cursor, etc
- Genuine enthusiasm for AI-assisted software development — you've used tools like Claude Code, Copilot, Cursor, or similar in your own workflow and have a point of view on how they change engineering practice
- Experience building or shipping AI-powered product features (e.g., chat/conversational interfaces, LLM-driven analyses, recommendation or insight engines) is a strong plus
- Understanding of agile software development methodologies and test-driven development
- Deep experience in software engineering management with a track record of effectively balancing short-term needs with long-term strategic investment
- Experience managing multiple stakeholders and external vendors and can clearly articulate risks and dependencies on projects