Jobs at MongoDB

Build and operate production MongoDB integrations and application capabilities directly within ISV codebases. Design data models, migrations, synchronization, dual-write and CDC solutions, and production-ready deployments across cloud, Kubernetes, and on-premises environments. Collaborate with partner engineers through implementation, code reviews, documentation, rollout, and knowledge transfer. The role involves regular travel and on-site work with partners.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and success metrics, and coordinate engineering, security, billing, design, documentation, marketing, and field teams. Represent MongoDB externally while enabling reliable, secure experiences for human and AI-agent developers.

Manage strategic G2000 customer accounts as a technical and business advisor. Drive retention, consumption growth, revenue realization, executive advocacy, and long-term success through customer business reviews, roadmap alignment, forecasting, and risk mitigation. Build relationships with C-suite and technical leaders, coordinate global resources, influence product strategy, and lead complex migrations and modernization initiatives.

Manage a multi-million-dollar book of business, retain and grow high-value customer accounts, build qualified sales pipeline, prospect into technical leaders, and close opportunities. The role requires developing MongoDB product expertise, articulating complex technology value, building customer relationships and champions, and partnering with solution architects and professional services. Success depends on quota attainment, strategic prospecting, sales methodology, and effective territory management.

Design, build, test, and maintain MongoDB’s integrated Java search platform. Develop distributed search and vector search systems, lead projects, own subsystems, contribute to architecture and roadmap decisions, review code and designs, fix bugs, and mentor engineers. The role focuses on building scalable search infrastructure that supports complex queries and retrieval-augmented generation applications.

The Senior Site Reliability Engineer will design, optimize, and maintain MongoDB's multi-tenant distributed storage systems, ensuring reliability and operational safety while implementing automation solutions and participating in on-call support.

Lead pricing and packaging strategy, build financial and operational models, analyze customer and competitive data, partner with Finance/Product/Engineering/GTM, communicate recommendations to leadership, and drive cross-functional execution to operationalize pricing, SKUs, billing, and product changes.

The Enterprise Account Executive will focus on new business acquisition through strategic sales efforts, relationship building, and collaboration with solutions and professional services teams.

Platform-focused SRE role responsible for designing and operating multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), and onboarding/self-service tooling. Build reliable deployment pipelines, support deployment systems, collaborate across Platform Engineering, and participate in a 24/7 on-call rotation. Must work East Coast hours and drive automation to reduce toil.

Drive and close net-new and expansion sales within MongoDB's strategic accounts. Build and qualify pipeline, cultivate executive and multi-level relationships, execute upsell/cross-sell strategies, meet quarterly quotas, and collaborate with Customer Success, Professional Services, Product, and Marketing to drive adoption and satisfaction.

Build and maintain agent skills and the platform for authoring, evaluating, publishing, and monitoring them. Implement CLIs, libraries, CI integrations, evaluation harnesses, metrics, and safety/quality gates. Investigate failures, design datasets and workflows, and collaborate with cross-functional teams to improve agent behavior and automation reliability.

Build core MongoDB distributed database infrastructure focused on data partitioning, data movement, dynamic scaling, cluster elasticity, workload execution, and performance. Design reliable distributed protocols, solve complex scalability problems, review code, participate in architecture decisions, lead feature development, and mentor engineers. The role requires production-quality C++ development and strong expertise in distributed systems, computer architecture, performance, networking, observability, and resiliency.

Lead and manage MongoDB’s Storage Execution team, owning the roadmap for durability, availability, performance, transactions, storage architecture, index operations, and developer productivity. Partner with adjacent engineering and cloud teams, manage customer escalations, drive cross-team initiatives, improve engineering processes, and develop engineers through hiring, coaching, and performance management.

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

Lead division-wide strategy and product architecture for MongoDB's distributed query engine. Define multi-year roadmap, own business cases and monetization, engage senior customers, mentor PMs, align cross-functional investments, and represent the product externally.

The Senior Python Engineer will develop and support MongoDB Python drivers, collaborate with teams, and resolve bugs, enhancing user experience with MongoDB tools.