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.
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.
| Title | Stage | AI score |
|---|---|---|
| Senior Research Scientist Research Scientist at MongoDB specializing in Machine Learning, focusing on Code-oriented LLMs, Agentic Systems, Reinforcement Learning, and Reasoning Models. The role involves conducting cutting-edge research, publishing in top-tier venues, and collaborating with engineering teams to translate research into commercial database products. Requires a Ph.D. and a strong publication record. | PretrainAgent | 10 |
| Staff Research Scientist Staff Research Scientist at MongoDB's Voyage AI team, focusing on developing next-generation AI models, specifically embedding models and rerankers for information retrieval and RAG. The role involves cutting-edge research in AI, including frontier LLMs and LLM agent paradigms, with a strong emphasis on publication and rigorous empirical studies. | PretrainAgent | 9 |