Jobs at MongoDB

Leads a technical support team while remaining hands-on with complex MongoDB customer cases. Responsibilities include troubleshooting escalations, coordinating urgent incidents, managing queue health, reviewing technical work, mentoring engineers, improving support processes, maintaining documentation, sharing product feedback, and partnering with Engineering and Product to resolve customer issues and improve team capability.

Senior Employee Experience Manager serving as a strategic advisor to G&A leaders and executives. The role owns complex employee relations investigations, performance management, organizational redesign, reductions in force, separations, and employment-risk matters. It partners with HRBPs, Legal, Recruiting, Total Rewards, and other teams to improve employee lifecycle practices, manager capability, organizational effectiveness, and scalable people processes. The position requires deep U.S. employment-practice knowledge, executive influence, independent judgment, and experience in complex, high-growth environments.

Own MongoDB’s IT audit and governance program across applications, infrastructure, cloud, and business systems. Lead SOX ITGC and ITAC compliance, control design, evidence, readiness testing, remediation, audit coordination, and framework harmonization. Partner with IT, Finance, Legal, Internal Audit, and external auditors while driving accountability across teams. Establish governance standards, automate controls, reduce audit burden, and report risks and findings to senior leadership and the Audit Committee.

Coordinates high-volume, multi-stage interviews across global time zones; manages scheduling, calendars, interview plans, candidate records, and communications. Partners with recruiters, hiring managers, and interviewers to resolve logistics, maintain accurate recruiting-system data, meet service expectations, and provide candidates with a clear, professional, and equitable interview experience.

Lead and manage a six-person engineering team building Atlas Infinite Backup’s distributed storage systems. Own the roadmap for durability, recovery, disaster recovery, compliance, cost efficiency, and GA readiness. Partner across storage, Atlas, billing, and product teams; manage customer escalations; drive design reviews, operational readiness, incident response, and production reliability. Develop engineers, lead multi-quarter initiatives, and balance near-term delivery with long-term architecture and operational investments.

Design, implement, and optimize MongoDB database integrations, Change Data Capture and streaming capabilities, and observability systems. Develop high-performance C++ services, contribute to query engine and distributed systems architecture, lead projects from design through production support, and collaborate with product and engineering teams on technical roadmaps.

Lead product strategy and lifecycle for GTM platforms supporting CRM, partner operations, and sales/marketing workflows. Define roadmap, integrate Salesforce and partner systems, drive AI-enabled automation, engage stakeholders, and measure adoption and impact to improve seller productivity and partner engagement.

Leads Customer Success Operations by managing analytical business partners, driving forecasting and business reviews, conducting market and segment analyses, optimizing workflows, supporting headcount and capacity planning, and influencing data and systems strategy. The role partners with senior leadership, pilots new programs, develops business insights and recommendations, and improves commercial team productivity and performance.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.

Leads Customer Success operations and a team of analytical business partners. Responsibilities include forecasting, business reviews, planning, headcount and capacity analysis, territory assignments, KPI tracking, data-driven insights, process optimization, systems strategy, and piloting new workflows. The role partners with senior leadership to influence decisions, improve productivity, scale commercial teams, and drive revenue outcomes.

Supports Product and Technology FP&A through financial planning, forecasting, reporting, modeling, month-end close, headcount reconciliation, budget analysis, and resource planning. Partners with executives, HR, recruiting, and business stakeholders to evaluate investments, improve operational processes, automate reporting, and provide actionable recommendations for strategic decision-making.

Software Engineering Interns join MongoDB product and technology teams for a 12-week summer internship. They collaborate with engineers, learn software development practices, and contribute production-level code to MongoDB products and services. Candidates should be pursuing a computer science or related degree, understand data structures, algorithms, and software design, and be proficient in an object-oriented programming language. Interns work 40 hours weekly in a hybrid office model.

Build AI-powered applications for enterprise customers using Generative AI, LLMs, MongoDB, and modern software architectures. Responsibilities include refactoring applications, migrating legacy databases, optimizing performance, developing microservices and intelligent automation, supporting AI adoption, and influencing product strategy. The role collaborates with engineering, product, and customer teams to deliver scalable solutions and requires substantial enterprise software engineering experience.

Lead technical pre-sales engagements by designing scalable MongoDB-based applications and systems, advising customers on architecture and modernization, delivering demos and proofs of value, and partnering with sales teams on account strategy. Generate demand through technical initiatives and events, build customer champions, provide technical documentation and sizing, mentor team members, and stay current on MongoDB, cloud, AI, and distributed-system technologies.

Develop and operate large-scale distributed backup infrastructure for MongoDB Atlas. Build reliable, performant systems across Go, Java, and JavaScript; troubleshoot production issues; optimize performance against hardware constraints; collaborate with Product and Design; plan and execute major features; and contribute across the full web application stack.

Serve as a hands-on technical security leader addressing complex product, infrastructure, architecture, and risk challenges. Evaluate security across compute, network, and storage; influence cross-functional decisions; lead M&A diligence and partner risk assessments; mentor senior individual contributors; and build a technical security community across product, enterprise, and security operations.

Build and operate security infrastructure protecting MongoDB Atlas across AWS, Azure, and GCP. Responsibilities include hardening Linux hosts and containers, implementing Kubernetes security controls, managing CSPM and workload identity platforms, deploying security controls through Terraform and other IaC tools, and creating monitoring and alerting systems. The role leads initiatives from threat modeling and architecture through implementation, rollout, and ongoing production reliability.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Build and operate automated infrastructure security capabilities across multi-cloud environments. Harden Linux hosts and containers, develop security controls with Terraform and production code, manage Kubernetes and cloud security platforms, implement monitoring and threat detection, and lead initiatives from threat modeling through reliable production deployment.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.