Jobs at MongoDB

Provide technical leadership and build core components of MongoDB’s AI application platform. Design, implement, test, and optimize highly scalable, reliable distributed systems and cloud services. Shape architecture, development practices, code reviews, and developer experience while collaborating with product and engineering teams. Lead complex infrastructure projects, mentor engineers, and improve performance and scalability across long-lived codebases.

Identify and qualify sales opportunities through inbound and outbound campaigns, engage IT and business decision-makers, schedule qualified meetings, maintain prospect activity in Salesforce, nurture early-stage opportunities, meet quotas, and collaborate with marketing and account executives. The role includes extensive sales training, coaching, product education, and career development toward future account executive opportunities.

Provides healthcare-focused technology consulting for MongoDB’s data platform. Translates complex technical concepts into business value, develops demos and enablement materials, supports sales opportunities through discovery, presentations, proofs of value, and solution design, and engages senior executives and industry organizations. Advises product teams on healthcare requirements, represents MongoDB at events, and helps develop scalable consulting processes. The role requires deep healthcare data expertise, strong software engineering and architecture skills, executive communication, and up to 30% travel.

Build and lead medium-sized full-stack projects for MongoDB Atlas Identity and Access Management, covering authentication, authorization, platform security, and user-facing features. Collaborate across ideation, requirements, design, execution, and delivery while working with modern backend and frontend technologies. Ship production code quickly, contribute to team projects, and eventually lead technical design and delivery.

Drive sales strategy within MongoDB’s strategic accounts by identifying, qualifying, and closing new workloads; expanding product adoption through upsells and cross-sells; cultivating executive relationships; collaborating with Customer Success, Professional Services, Marketing, and Product; and exceeding quarterly sales quotas.

Provide technical support to MongoDB customers by diagnosing complex architecture, performance, recovery, security, and deployment issues. Advise customers on operating MongoDB at scale, communicate solutions clearly, advocate for customer needs with product and development teams, and contribute to internal support-tool development. The role requires strong troubleshooting, systems, database, networking, cloud, communication, teamwork, and continuous-learning skills.

Develop and execute product-led growth, lifecycle marketing, and technical audience programs for Voyage AI. Drive awareness, onboarding, activation, adoption, expansion, and continued usage through campaigns, content, experimentation, segmentation, and emerging channels. Partner cross-functionally with Product, Analytics, Data Science, Product Marketing, and Builder Relations. Analyze funnel and product adoption metrics, identify growth opportunities, optimize customer experiences, and create data-driven strategies for developer and AI-focused audiences.

Leads a distributed cloud support team as a hands-on technical player-coach. Responsibilities include resolving complex customer issues, managing escalations and incidents, monitoring support quality and queue health, mentoring engineers, improving processes, creating technical documentation and training, and coordinating with Engineering, Product, Security, Legal, Billing, and global support teams.

Provides legal support to global Procurement by drafting and negotiating high-value third-party agreements, advising stakeholders on contracting risks, and maintaining procurement legal processes, playbooks, templates, and training. The role addresses data privacy, security, AI, intellectual property, technology contracting, and vendor risk while leveraging automation and contract lifecycle management tools.

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.

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.

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.

Own the product vision, strategy, and execution for MongoDB Atlas Infinite, a distributed cloud database platform. Lead cross-team decisions spanning compute, storage, migration, interoperability, readiness, customer experience, monetization, and adoption. Discover new customer opportunities, guide preview-to-GA progress, establish research and execution standards, resolve complex product issues, align executives and go-to-market teams, and mentor product managers.

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.