Jobs at MongoDB

Optimize customer production architectures and guide resilient, scalable, cloud-native application designs. Investigate database and distributed-system performance, evaluate architectural trade-offs, and recommend improvements across applications, APIs, infrastructure, security, and operations. Lead technical discovery with developers, architects, and engineering leaders, while advising on modernization and AI application patterns including Vector Search, RAG, and intelligent agents. Build trusted relationships and influence technical decisions across EMEA customers.

Leads high-complexity customer incidents and technical escalations as Incident Commander. Coordinates Engineering, Product, Support, SRE, Sales, and Customer Success teams; establishes response cadence, tracks risks and actions, communicates with customer and executive stakeholders, manages recovery and handoffs, and drives post-incident reviews and corrective actions. The role requires technical fluency in databases, distributed systems, cloud environments, and production operations, along with strong crisis leadership and executive communication.

Provides technical support to major MongoDB customers by diagnosing and resolving complex architecture, performance, recovery, security, infrastructure, and database issues. Advises customers on MongoDB best practices at scale, advocates for customer needs with product and engineering teams, and contributes to internal support tooling for diagnostics, benchmarking, and performance. The role requires strong communication, troubleshooting, teamwork, adaptability, and willingness to provide occasional coverage outside regular hours.

Design, build, and support MongoDB Atlas DevOps and SDK tooling, including cloud integrations, Terraform providers, CloudFormation resources, and Go SDKs. Develop integration components for partner frameworks, incrementally deliver complex projects, troubleshoot customer issues through Level 2 support, and collaborate across teams. The role also involves project ownership, roadmap contributions, knowledge sharing, and mentoring.

Identify and qualify prospective customers, conduct outbound campaigns, engage IT and business decision-makers, maintain Salesforce records, schedule qualified sales meetings, nurture opportunities, meet quotas, and collaborate with sales, marketing, partners, and regional ADR teams. The role also emphasizes product and sales knowledge, self-development, and progression toward an Account Executive career.

Own MongoDB’s global Incident & Escalation Management program portfolio, translating strategic priorities and incident learnings into measurable improvement work. Establish roadmaps, governance, planning cadences, risk tracking, reporting, dependencies, and accountable ownership across technical and customer-facing teams. Improve incident-response practices, post-incident action closure, operational metrics, tooling, readiness, communications, and adoption across regions. This role drives execution and program maturity rather than live incident command or technical investigation.

Six-month, full-time software engineering internship beginning January 2027. The intern will collaborate with engineering and cross-functional teams, learn software development methodologies, and contribute production-level code to MongoDB products and services. Responsibilities include applying computer science fundamentals, software design, algorithms, and data structures while working within integrated engineering teams. The role is hybrid in Dublin, requiring office attendance three to five days per week.

Design scalable, highly available applications and infrastructure using MongoDB; advise customers on architecture, optimization, and business value; partner with sales teams on discovery, demos, proof of value, presentations, sizing, and deal execution; generate demand through technical initiatives and events; build customer champions; mentor colleagues; and maintain expertise in MongoDB, cloud, distributed systems, AI, and modern architecture patterns.

Develop and improve MongoDB Server programmability features using production C++ code, low-level libraries, runtimes, and development tools. Lead medium-sized projects, collaborate across the full software lifecycle, write unit, integration, and performance regression tests, investigate server performance, handle customer escalations, review code and designs, interview candidates, and mentor engineers.

Designs and maintains AI-driven automations, integrations, and workflows across marketing technology systems. Partners with marketing, analytics, IT, and engineering teams to translate campaign needs into scalable solutions using Workato and related platforms. Oversees data integrity, troubleshooting, testing, documentation, governance, compliance, and process optimization while serving as a marketing automation subject matter expert.

Lead pre-sales architecture for MongoDB Atlas and specialize in application search, including lexical and semantic search. Advise customers on scalable systems, conduct technical discovery, demos, proofs of value, presentations, sizing, and documentation, and support complex enterprise deal cycles. Enable other solution architects, mentor colleagues, relay customer feedback to Product Management, and influence Vector Search and AI/ML direction. The role is remote in Barcelona, Dublin, or London and requires approximately 25% travel.

Provide technical support to large MongoDB customers by resolving complex architecture, performance, recovery, security, database, cloud, and infrastructure issues. Diagnose and troubleshoot problems in real time, advise on best practices for operating MongoDB at scale, advocate for customer needs with product and engineering teams, and contribute to internal support-tool development. The role requires strong communication, technical engineering experience, teamwork, and willingness to participate in occasional 24/7 support coverage.

Provide technical support to large MongoDB customers by diagnosing and resolving architecture, performance, recovery, security, cloud, and infrastructure issues. Advise on best practices for operating MongoDB at scale, advocate for customer needs with product and engineering teams, and contribute to internal support-tool development. The role requires strong troubleshooting, communication, teamwork, rapid learning, and technical experience across systems, databases, networks, distributed systems, or cloud environments.

Develop and scale product security automation platforms, including automated code analysis, security finding triage and verification, security signal analytics, and self-service finding management. Build tooling that integrates security earlier into the software development lifecycle. The role requires production software development with Python and TypeScript, cloud-native systems, microservices, Kubernetes, containers, CI/CD, and AI agents, with preferred experience in secure execution environments and database development.

Identify and qualify sales opportunities across strategic EMEA accounts, lead outbound campaigns, engage IT and business decision-makers, schedule introductory meetings, nurture early opportunities, maintain Salesforce records, meet quotas, and collaborate with sales, marketing, partners, ADRs, and Account Executives. The role emphasizes sales and product knowledge, customer relationship building, self-development, and progression toward an Account Executive career.

Develop backend and full-stack observability tools for MongoDB Atlas, including metrics collection, slow-query monitoring, and database performance recommendations. Design scalable web applications, troubleshoot production issues, lead medium-sized technical projects, collaborate with customers and support engineers, participate in on-call rotations, and improve engineering practices and operational systems.

Manage third-party risk assessments from sourcing through payment, validate risk ratings and criticality, review documentation, lead remediation for high-risk relationships, analyze portfolio trends, produce audit and leadership reporting, oversee periodic reviews, and mentor junior analysts. The role partners with Procurement, Legal, Security, business stakeholders, vendors, auditors, and customers while improving TPRM processes and methodologies.

Lead strategy, roadmap, and execution for MongoDB’s Developer Tools portfolio, including Compass and Data Explorer. Define connected experiences across desktop, browser, Atlas, self-managed deployments, IDEs, shell tools, data modeling, and AI-assisted workflows. Conduct customer discovery, align cross-functional teams, establish product metrics, drive adoption, communicate with executives, and mentor product managers.

Lead cross-domain product strategy and execution for MongoDB Atlas Clusters. Own enterprise platform initiatives involving resiliency, multi-cloud architecture, scalability, and infrastructure capabilities. Coordinate Engineering, SRE, Design, Security, Finance, Support, and go-to-market teams; define roadmaps, metrics, governance, pricing, and launch plans. Translate customer needs and market gaps into product priorities while aligning senior stakeholders and representing Atlas architecture to enterprise customers.

Leads G&A FP&A, including budgeting, forecasting, reporting, workforce planning, month-end close, financial modeling, and planning-system automation. Partners with senior Finance, Legal, HR, and IT leaders, manages and develops analysts, consolidates forecasts, analyzes budget performance, and promotes AI-enabled automation and process improvements.