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
Passion for data-related services and understanding of good systems design
Experience building platforms or tools where the main users are internal customers (technical and non-technical) or customer-facing teams
You care about facilitating learning and growth on the team – you put our engineers first
You lead the team to explore all potential paths to a solution, while accepting that failure is part of the process
You're comfortable operating at the intersection of "how we build" and "what we build" — championing AI adoption in engineering process while also shipping AI in the product
Position Expectations
Manage a team of 8-10 individual contributors, responsible for ensuring their success, aiding their career growth, and facilitating their technical work
Drive adoption of AI-assisted engineering workflows across the team — code generation, review, testing, and documentation — to increase velocity and quality. The goal is to empower software engineers with AI to help the team scale
Own the roadmap for AI-powered end-user features, including chat-based interfaces, automated analyses, and insights that help customer-facing teams work more effectively
Ensure the team is running smoothly by helping to eliminate technical barriers, coordinating with other teams regarding dependencies, and focusing on the overall happiness of the team
Contribute to planning for organizational growth, including allocation of engineering resources, future hiring plans, and assignment of projects
Set team culture by example, including modeling a thoughtful, hands-on approach to evaluating and adopting new AI tools and practices
Estimate the delivery timeline for projects, and communicate well with upper management and the broader team regarding project execution
Success Measures
The Manager will be successful in this role when they can execute the following strategic tasks:
People: Collaborate with colleagues from various departments and manage stakeholder relationships. Participate in the performance management process and define meaningful growth goals for individual engineers. Establish reasonable metrics for measuring performance improvements across the team
Organization: Ability to manage multiple parallel efforts and prioritize resources based upon understanding and interpreting business needs
Communication: Effectively capture requirements from non-technical customers and ensure they understand the implementation details. Provide transparency on delivery and process
Research: Research best approaches to implementing workflows — including AI-assisted engineering practices — that enable our business. Gather and analyze feedback from internal stakeholders
Innovation: Identify and evaluate opportunities to apply AI to both the team's engineering workflows and the products it ships, moving from experimentation to production responsibly
Customer Service: Provide pragmatic solutions for our internal stakeholders. Provide great customer service when interfacing with internal customers
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 unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 3273598069
