Companies MongoDB

MongoDB

London

5,550 Total Employees

Year Founded: 2008

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MongoDB Leadership & Management

MongoDB Employee Perspectives

MongoDB emphasizes transparent leadership and continuous feedback, giving employees clear visibility into both their performance and long-term career growth. Leaders actively support employees by helping them explore new opportunities, align personal and professional goals and build thoughtful career paths over time.

“Every quarter, I have honest conversations with leaders about whether I achieved the goals I set and why. At the same time, I’ve met many leaders here who help me map out a career path, suggest opportunities I hadn’t considered, and provide feedback on how to align my personal goals with my professional growth. Because of that, I feel I’m growing in every way.”

Jin Seo, Associate Customer Success Manager, Singapore

From the article: Company | Careers

MongoDB Employee Reviews

I joined MongoDB as the Executive Assistant to our CEO, Dev Ittycheria. During my time working with Dev, I saw firsthand the transparent nature of our leadership team. Though they are focused on the market opportunity in front of us and ensuring MongoDB is set up for long-term success, it does not come at the expense of our people.

Ava, Director, Executive Support

What People Are Saying About MongoDB

Strategic Vision & Planning: Leadership consistently articulates a unified developer data platform centered on Atlas with integrated services and AI‑native capabilities. The direction spans multicloud with a pragmatic run‑anywhere stance extending key capabilities to self‑managed deployments, anchored by an emphasis on durable, profitable growth.
Open & Transparent Communication: Company communications across filings, press releases, and earnings calls repeat the same long‑term arc and explicitly acknowledge Atlas consumption sensitivity with conservative near‑term guidance. This cadence projects message consistency even when near‑term pacing is variable.
Strong Execution: AI capabilities have been delivered as native features—vector search in Atlas, first‑party embeddings and reranking via the Voyage AI acquisition, and automated embedding to simplify retrieval flows. Extending search/vector beyond Atlas to self‑managed editions demonstrates follow‑through on a hybrid 'run anywhere' commitment.