MongoDB has 32 active AI-related job listings. The majority of these roles are focused on agents, representing 59% of the active listings. Engineering is the top function for these positions. The company is actively hiring for roles related to agent orchestration, model serving, and RAG. Over the last 30 days, MongoDB posted 3 new AI roles, a 25% decrease compared to the prior 30-day period.
Currently tracking 11 active AI roles, with 107 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$270k (avg $189k).
MongoDB currently has 34 active AI-related roles in our index. The most common open titles are: Senior Engineering Manager, Code Generation (2), Senior Software Engineer, Forward Deployed AI Engineer (2), Senior Staff Engineer (2), Senior Staff Engineer, AMP (2), Software Engineer, Code Generation (2). Most positions are in Engineering and Product.
MongoDB's active AI hiring is concentrated in: agents (65%), application (15%), serving infrastructure (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
MongoDB is hiring AI talent in: United States (14 roles), India (8 roles), Ireland (4 roles), Australia (3 roles).
Job postings at MongoDB most frequently reference: agent orchestration, model serving, rag, code gen, inference infra.
In the past 30 days, MongoDB has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer 3, App Analysis & Modelling Software Engineer to build backend systems and applications for MongoDB's Application Modernisation Platform (AMP). The role involves developing code analysis tools and schema recommendation engines, leveraging AI to enhance customer understanding and modernization of application codebases. Experience with LLMs and agentic workflows is a plus. | Agent | 5 |
| Senior Software Engineer, App Analysis & Modelling Senior Software Engineer role focused on building intelligent tools for application modernization using AI, including code analysis and schema recommendation engines. The role involves backend and frontend development, with an emphasis on scalable systems and APIs, and collaboration across teams. Experience with AI-powered features, LLMs, and agentic workflows is a plus. | Agent |
| 5 |
| Software Engineer 3 Software Engineer 3 for the Storage Engines team at MongoDB, focusing on WiredTiger, an open-source storage engine. Responsibilities include maintaining a pluggable protocol, managing concurrent transactional access, and improving performance, scalability, and resilience. Requires strong CS knowledge and C/C++ server-side experience, preferably in distributed systems and databases. | — | 0 |
| Technical Services Engineer MongoDB Technical Services Engineers advise customers and solve complex MongoDB problems, acting as specialists in the entire MongoDB ecosystem. They resolve issues related to architecture, performance, recovery, and security, and contribute to internal software development for support tools. The role requires strong diagnostics, troubleshooting, systems engineering, and networking experience, with the ability to analyze issues holistically. | — | 0 |
| Lead, Engineering Lead Software Engineer with a strong background in data streaming products, the Java ecosystem, and team leadership. Responsibilities include driving architectural decisions, mentoring engineers, and collaborating with product management to deliver a complex product suite using Java, Spring Boot, Apache Kafka, Debezium, and React. | — | 0 |