--- title: 'Engineering Manager, Customer Tools at MongoDB' canonical: 'https://feeny.ai/job/engineering-manager-customer-tools-mongodb-mexico-city-yfx6e9w8rc7c' type: 'job' last_seen: '2026-11-08' --- # Engineering Manager, Customer Tools at MongoDB - **Company:** MongoDB - **Location:** Mexico City, Mexico - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-08 - **Apply:** https://www.mongodb.com/careers/job/?gh_jid=8323296 ## Job description 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 - 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,](https://www.mongodb.com/company) 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](https://www.mongodb.com/company/blog/culture/employee-benefits-that-make-a-difference-at-mongodb), 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](https://www.mongodb.com/blog/channel/culture), 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 ## About MongoDB ## Company Overview - **One-liner**: MongoDB provides a modern, multi-cloud data platform that enables organizations to build, deploy, and run data-intensive applications at scale. - **Entity Type**: Public (NASDAQ: MDB) - **Headquarters**: New York, USA - **Founded**: 2007 (as 10gen; renamed MongoDB in 2013) - **Founders**: Dwight Merriman, Eliot Horowitz, Kevin Ryan ## Core Business - **Primary industry**: Database software and data platform (document-oriented NoSQL, multi-cloud, AI‑ready) - **Target customers**: B2B – enterprises, SMBs, and individual developers; also B2C via embedded applications - **Mission**: “Unleash the power of software and data” [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)] ## Products & Services - **MongoDB Atlas** – Fully managed, multi-cloud database service (AWS, Azure, GCP) with built‑in analytics, serverless, and vector search capabilities. [[mongodb.com](https://www.mongodb.com/)] - **MongoDB Enterprise Advanced** – Self‑managed database for on‑premises or private cloud deployments, with enterprise‑grade security and support. - **MongoDB Community Server** – Free, open‑source document database for development and small‑scale production. - **MongoDB Atlas Search & Vector Search** – Integrated search and AI‑driven vector capabilities on the same data platform. - **MongoDB Realm / Device Sync** (legacy) – Mobile and edge data synchronization (superseded by Atlas Device SDKs). ## Market Standing - **Valuation/Market Cap**: Not publicly available from provided sources (publicly traded; refer to stock exchange data). - **Key Metric**: Annual revenue – reported in SEC filings (10‑K for fiscal year ended January 31, 2025) [[investors.mongodb.com](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770)]. - **Notable Investors/Partners**: 1,000+ technology and service partners; over 67,000 customers across industries [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]. - **Growth Signals**: - 5,550 total employees (as of mid‑2026) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)] - 175,000+ builders (developers) joining the platform every month [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)] - Named “Best Place to Work in 2026” by Built In (Large Companies) [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)] - Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Cloud Database Management Systems (4th consecutive year) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)] ## Competitive Advantages - **Document model flexibility** – Schema‑less design allows rapid iteration and handling of diverse data types. - **Multi‑cloud native** – Same developer experience across AWS, Azure, and GCP, reducing lock‑in. - **Developer‑centric ecosystem** – Rich drivers, tools (Compass, Shell, VS Code extension), and a large community. - **AI‑ready platform** – Native vector search and retrieval‑augmented generation (RAG) capabilities for generative AI workloads. - **Strong partner & customer base** – Thousands of partners and a massive installed base (67k+ customers) create network effects. ## Strategic Focus - **AI and vector workloads** – Deepening support for AI/ML use cases (vector search, RAG, Atlas for generative AI). - **Hybrid and flexible work** – Offering in‑office, flexible (1–2 days per week), fully remote, and customer‑facing remote models to attract top talent [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Sustainability** – Reducing waste and carbon footprint (e.g., 58% waste reduction in FY24, 100% LED office lighting) [[mongodb.com/company](https://www.mongodb.com/company?jmp=footer)]. - **Developer education & ecosystem growth** – Expanding free tier, certifications, and community programs to drive platform adoption. ## Why Work Here - **Culture & values**: Guided by principles like “Build Together,” “Make it Matter,” “Own What You Do,” and “Be Intellectually Honest” [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Inclusion**: Active Diversity, Equity & Inclusion programs and Employee Resource Groups (e.g., Veterans ERG) [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Flexible work models**: Options for in‑office, flexible hybrid, fully remote, and customer‑facing remote; 14 offices globally [[builtin.com](https://builtin.com/company/mongodb/faq/culture-values)]. - **Benefits**: Competitive compensation, plus benefits across four pillars – physical, emotional, financial, and family & community [[mongodb.com/company/careers](https://www.mongodb.com/company/careers)]. - **Career growth**: Leadership development programs, mentorship for students/graduates, and a “think big, go far” ethos. ## Sources 1. [MongoDB Careers Page](https://www.mongodb.com/company/careers) 2. [MongoDB About Page](https://www.mongodb.com/company?jmp=footer) 3. [MongoDB Homepage](https://www.mongodb.com/) 4. [MongoDB 10‑K (March 2025)](https://investors.mongodb.com/static-files/2e35ada9-36d6-4ea2-a03a-bbba3b559770) 5. 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