After Scale AI
- 9%Founded something17
- 25%Joined a startup48
- 16%Joined a big company30
- 50%Elsewhere
Shares of those who moved on, by their next stop.
People who leave Scale AI most often go to Meta, Google and OpenAI. 9% found something next. 25% go small. Median stay 1y 5m
These are the engineers in the Zelcast network and the profiles run through the Eng Scorer, not Scale AI's headcount: 370 people on a map of 26,572, the No. 21 company on it by people. Updated August 20, 2026.
Put Scale AI side by side with another company, every number against every number.
Ribbon width is the number of people who made the move. Most arrive from Meta. Most leave for Meta (9% of recorded departures).
Shares of those who moved on, by their next stop.
17 of the people who left went straight to a founding role, 9% of those who moved on, half of them the same month they left. The bars are the ’15 to ’26 classes; earlier founders count in the total.
346 stays with both a start and an end on the record.
2012 to 2026: 373 joined, 208 left.
there now 84 moved on 84. Current staff and alumni score about the same.
8 most common titles, by people who held them.
Everyone here with an Eng Scorer read, placed in their caliber tier.
370 of the 370 people here carry an Eng Scorer tier.
Exceptional and strong are the top two of the five tiers. 130 of the 370 people here with a read sit in them, 35%. A tier is the band an Eng Scorer caliber score falls in, so this is the same measurement as the median on the caliber card, opened up.
The level of the first title recorded here, against the last.
33%Titles that rose60 of 184 classified people
184 of the 370 people here had a title that could be placed on the ladder before and after.
A title rose when the last title recorded here sits higher on the ladder than the first; for someone who recorded one title here and then left, it is measured against the first title of their next role. The ladder runs intern, junior, mid, senior, staff or manager, principal, director, VP, then founder or C-level. A title that matches no rung is left out rather than guessed, and product, program and project managers are left out entirely, being a different ladder. That leaves 184 of the 370 people here classified, and it leans towards people who have left: someone still here on a single recorded title has nothing to be measured against.
The 8 most listed schools among the 369 people here with a school on file.
Of the 369 people here with a school on file, 53 list UC Berkeley, 33 list Stanford and 29 list MIT. A person can list more than one school, so these overlap rather than add up.
86 of the 370 people here whose profile was checked for public accounts. An account the check did not find reads the same as no account, so this is a floor rather than a census.
Across the 325 companies on the map that can show this figure, the median is 38%.
52% of the people who have worked at Scale AI and list a location live in New York today, against 33% of everyone on the map.
All 370 people who worked at Scale AI list a location, and every share here is over them.
Where they live now, from the profile as it reads today, not where they sat while they worked at Scale AI: a metro here does not mean the company has an office in it. The lower strip is the same metros across the whole map, for comparison.
Companies that show up most often alongside Scale AI, at any point in a career.
About this data: built from 144,786 jobs across 26,572 engineers in the Zelcast network and Eng Scorer reads, updated August 20, 2026. A move counts when the next role starts within 24 months of leaving; companies with fewer than 20 people on the map are not shown, and destinations with fewer than 3 people are folded into the totals. Caliber is the Eng Scorer score.
Worked at Scale AI? See how your profile reads to a startup hiring manager, and where it ranks among 26,572 engineers.
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