MongoDB, Inc. (MDB)
Database software maker, 48% U.S. Read October 19, 2026 from the annual report for the period ending January 31, 2026, filed March 11, 2026. Ranked 57 of the 155 Technology companies read so far, by the share within reach now.
Within reach now
25%
End of 2028
69%
Employees, annual report
5,636
Leading staffing pattern
Software Publishers
Share of the working time within reach, long-run pace, four times in five
- Now25%
- End of 202755%
- End of 202869%
- End of 203075%
What changes for its people by the end of 2028, by its industries' figures
- Stays with people 25%
- Becomes checking a model's work 58%
- Handed over with lighter checks 10%
MongoDB’s 5,636 employees, 2,709 in the United States, build, sell and support a database platform, read as one software pattern.
The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.
What follows from the reading
Share of working time within reach of AI, on the long-run pace at four in five: 25% now, 55% at the end of 2027, 69% at the end of 2028, 75% at the end of 2030. By the patterns, the work is about 75% desk work, 23% people work and 2% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 25% of the working time stays with people (conversation, in-person and hands-on work), 58% becomes checking a model's work and 10% could be handed over with lighter checks, from the industries' own figures, not the company's roles.
Headcount
5,636 employees as of January 31, 2026 (stated). 2,709 of 5,636 employees are in the United States and 2,927 outside it, by the filing.
The filing: “As of January 31, 2026, we had a total of 5,636 employees, including 2,927 employees located outside the United States.”
The workforce as industry patterns
| Pattern | Share | Reason, from the filing |
|---|---|---|
| Software Publishers | 100% | By description (c): a database platform sold as the Atlas cloud service and subscriptions, 96% of revenue, software publishing; no count by kind of work. |
What the filing says about the workforce: 5,636 employees, 2,927 outside the United States, up from 713 in 2017; no work stoppages.
Companies read with the same leading pattern
Other companies whose largest staffing pattern is also Software Publishers, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.
- Microsoft (MSFT, 223,000 employees)25% now, 69% by 2028
- Oracle (ORCL, 141,000 employees)26% now, 69% by 2028
- Salesforce, Inc. (CRM, 83,334 employees)25% now, 69% by 2028
- Uber Technologies, Inc. (UBER, 34,000 employees)29% now, 67% by 2028
- DoorDash, Inc. (DASH, 31,400 employees)29% now, 67% by 2028
- Adobe Inc. (ADBE, 31,360 employees)25% now, 69% by 2028
- ServiceNow, Inc. (NOW, 29,187 employees)25% now, 69% by 2028
- Synopsys, Inc. (SNPS, 28,000 employees)25% now, 69% by 2028
What the filing says about AI
93 sentences in the filing name AI. The filing names AI 93 times: generative AI as a technology trend, AI applications built on its database, and AI in its products.
- “Forward-looking statements include, but are not limited to, statements about: our future operating and financial performance, ability to generate positive cash flow and ability to achieve and sustain profitability; our ability to successfully anticipate and satisfy customer demands, including through the introduction of new features, products or services and the provision of professional servic...”
- “In 2023, generative artificial intelligence ("AI") emerged as a significant technology trend.”
- “Generative AI is the process of generating original content by using foundation models ("FMs"), which are trained on large amounts of generally available data.”
- “Organizations of all sizes are looking at how to use their proprietary data in concert with FMs to drive better, AI-powered experiences for their customers.”
- “Organizations need a modern database to securely build, deploy, and scale generative AI applications.”
Its annual reports, year by year
Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector
- Fiscal 20210median 0
- Fiscal 20220median 0
- Fiscal 202330median 1
- Fiscal 202449median 4
- Fiscal 202593median 10
Headcount by filing year
As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.
| Period | Employees | Filed | Filing |
|---|---|---|---|
| 2026-01-31 | 5,636 | 2026-03-11 | 10-K |
| 2025-01-31 | 5,558 | 2025-03-21 | 10-K |
| 2024-01-31 | 5,037 | 2024-03-15 | 10-K |
| 2023-01-31 | 4,619 | 2023-03-17 | 10-K |
| 2022-01-31 | 3,544 | 2022-03-18 | 10-K |
| 2021-01-31 | 2,539 | 2021-03-22 | 10-K |
| 2020-01-31 | 476 | 2020-03-27 | 10-K |
| 2019-01-31 | 335 | 2019-04-01 | 10-K |
| 2018-01-31 | 249 | 2018-03-30 | 10-K |
Limits of this reading
- No count by kind of work; one software pattern by description.
Source: the company's annual report on EDGAR, accession 0001628280-26-016799, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.
The report on MongoDB, Inc., $29
This page as a document to keep, with what it does not show: the share within reach at every date on three paces and two reliabilities, a typical workforce of this shape at the stated headcount role by role and task by task (the industries' staffing, never the company's roster), where to start, what changes for the people and what they would learn, every sentence in the filing that names AI, the headcount by year, the companies read with the same leading pattern, the method and a citation line. To print or save as a PDF, open again in your browser for a year.
See the report, $29See the sample first: Walmart's report is free
Questions about this company
- How much of MongoDB, Inc.'s working time is within reach of AI?
- An estimated 25% now and 69% by the end of 2028, on METR's long-run pace at four in five, from the workforce MongoDB, Inc.'s own annual report describes and BLS staffing patterns for its industries, never from a roster. It is an estimate with a stated method. It is not a forecast of jobs lost or of savings, and it says nothing about what the company will do.
- How many people does MongoDB, Inc. employ?
- 5,636 as of January 31, 2026, as its annual report for the period ending January 31, 2026 states. About 48% in the U.S.
- What kinds of work make up MongoDB, Inc.'s workforce?
- Read from its annual report as a blend of 1 industry staffing pattern, the largest Software Publishers; by those patterns the work is about 75% desk work, 23% people work and 2% body work. Each share has a one-sentence reason on this page that can be checked against the filing.
- What does MongoDB, Inc.'s annual report say about AI?
- 93 sentences in the filing name AI. Its annual reports for fiscal 2021 to 2025 name it in 0, 0, 30, 49 and 93 sentences, year by year. They are counted and quoted on this page, never judged: a count says how much a filing talks about AI, not what the company does with it.
- How is this estimated?
- Claude Fable 5.1 read the annual report under the Index's written rubric (version 1) on October 19, 2026: the stated headcount, the share in the U.S. when stated, and the workforce as a blend of industry staffing patterns. The estimates are the site's industry estimates weighted by those shares, from O*NET tasks with estimated lengths and METR's measurements of how long a task AI models can finish. A company can write to info@stratussc.com to have its reading checked against its filing.
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.