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 |
|---|---|---|
| Principal Partner Programs Lead This role is focused on building and scaling a new ISV partner program at MongoDB. The Principal Partner Programs Lead will identify, recruit, and activate ISV partners, develop go-to-market plans, and collaborate cross-functionally to drive adoption and revenue. The role requires business development, commercial acumen, and the ability to work in a fast-moving, greenfield environment. | — | 0 |
| Senior Solutions Architect This role is a Senior Solutions Architect at MongoDB, focusing on pre-sales to guide customers in designing and building scalable systems using MongoDB's data platform. The role involves collaborating with sales teams, advising customers on architecture, and ensuring technical alignment with MongoDB's solutions. While AI/ML projects are mentioned as a potential area of experience, the core function of the role is not AI/ML development but rather leveraging MongoDB's platform to solve customer business problems. | — | 0 |
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| 0 |
| Enterprise Account Executive Enterprise Account Executive role focused on new business acquisition and revenue growth within an assigned territory. The role involves prospecting, building relationships with technical end-users and leaders, and partnering with internal teams to achieve customer satisfaction and maximize deal sizes. Requires 4+ years of quota-carrying sales experience and a proven track record of overachievement. | — | 0 |
| Senior Enterprise Account Executive Senior Enterprise Account Executive role focused on new business acquisition and revenue growth within an assigned territory. Requires 4+ years of quota-carrying experience, ability to grow accounts, and a proven track record of overachievement. | — | 0 |
| Enterprise Account Executive Enterprise Account Executive role focused on new business acquisition and revenue growth within an assigned territory. Requires proactive prospecting, pipeline management, and building relationships with technical end-users and leaders. Experience in complex enterprise sales and a proven track record of overachievement are essential. | — | 0 |
| Enterprise Account Executive Enterprise Account Executive role focused on new business acquisition and revenue growth within an assigned territory. The role involves prospecting, building relationships with technical end-users and leaders, and partnering with internal teams to achieve customer satisfaction. Requires 4+ years of quota-carrying sales experience and a proven track record of overachievement. | — | 0 |