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 |
|---|---|---|
| (Senior) Customer Success Manager This role is for a Senior Customer Success Manager at MongoDB, focusing on enterprise accounts. The primary responsibility is to maximize customer lifetime value and success by acting as a strategic advisor, driving retention, revenue realization, and long-term advocacy. The role involves understanding customer technical environments, navigating global account teams, and collaborating with internal resources to influence product roadmaps and ensure customer success with MongoDB's developer data platform, which is used for building AI-powered applications. | — | 5 |
| Enterprise Account Executive, Growth This role is for an Enterprise Account Executive at MongoDB, focusing on growing business within assigned accounts. The responsibilities include identifying and closing sales pipelines, strategically approaching technical leaders, building relationships, and collaborating with internal teams and partners. The ideal candidate has 5+ years of direct sales experience in enterprise software, a proven track record of overachievement, and strong communication skills. Familiarity with sales methodologies and database technology is a plus. The role is based in Seoul, South Korea. |
| — |
| 0 |
| Engagement Manager MongoDB is seeking an Engagement Manager in Seoul, a quota-carrying Professional Services Sales role focused on scoping, negotiating, and closing Professional Services opportunities to accelerate customer adoption of MongoDB technologies. The role involves cross-functional collaboration with Sales, Professional Services, and Customer Success, managing the Professional Services pipeline, articulating business value, and working with practice and delivery teams to ensure successful project outcomes. Requires a minimum of 5 years of experience in Professional Services sales or technology solutions at an enterprise software company, with general knowledge of databases and software architecture. | — | 0 |
| Manager, Customer Success Manager for Customer Success in Seoul, South Korea, focusing on growing the CS program, recruiting, coaching, and developing CS team members. Responsibilities include crafting and executing initiatives to increase customer retention, happiness, identify expansion opportunities, and promote customer adoption of MongoDB. | — | 0 |