Enterprise · Document DB
Currently tracking 12 active AI roles, with 114 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$270k (avg $189k).
| Title | Stage | AI score |
|---|---|---|
| Senior Solutions Architect (Pre-Sales) This role is a Senior Solutions Architect (Pre-Sales) at MongoDB, focusing on guiding customers to design and build scalable systems using MongoDB's data platform. The role involves technical sales, customer advising, sales partnership, and demand generation, with a focus on modern architecture and potentially AI/ML projects. The primary output is customer success and deal closure, not direct AI model development. | — | 5 |
| Solutions Architect Solutions Architect role focused on guiding customers to design and build reliable, scalable systems using MongoDB's data platform. The role involves technical sales, consulting, and advising customers on architectures and best practices, with a focus on customer success and leveraging MongoDB's solutions. | — | 0 |
| Manager, Solutions Architecture Manager for a Pre-Sales Solutions Architecture team at MongoDB, focusing on helping customers build solutions and drive revenue. The role involves leading and developing a team of architects, partnering with sales, and fostering customer relationships within the enterprise market. MongoDB is positioned as a database for the AI era. |
| — |
| 0 |
| Account Development Representative This is a sales development role focused on identifying and qualifying new opportunities for MongoDB's database platform. The role involves working with sales and marketing teams, generating leads, and setting introductory meetings. While the company's product mentions AI-powered data retrieval, this role itself is not directly involved in building or researching AI/ML models. | — | 0 |
| Enterprise Account Executive, Acquisition Enterprise Account Executive responsible for identifying and pursuing new business opportunities, cultivating relationships with key stakeholders, and ensuring the successful adoption of MongoDB's solutions. This role involves prospecting into technical leaders, managing the full sales cycle, developing territory plans, and building a sales pipeline using various prospecting tools. | — | 0 |