After TikTok
- 8%Joined a startup6
- 31%Joined a big company24
- 61%Elsewhere
Shares of those who moved on, by their next stop.
People who leave TikTok most often go to Meta, Amazon and Bloomberg. Median stay 2y 4m
These are the engineers in the Zelcast network and the profiles run through the Eng Scorer, not TikTok's headcount: 132 people on a map of 26,572, the No. 72 company on it by people. Updated August 20, 2026.
Put TikTok 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 (18% of recorded departures).
Shares of those who moved on, by their next stop.
116 stays with both a start and an end on the record.
2012 to 2026: 137 joined, 83 left.
there now 78 moved on 83. The people who left score higher than the people still there.
5 most common titles, by people who held them.
First job on the record for 3% of people here.
Everyone here with an Eng Scorer read, placed in their caliber tier.
132 of the 132 people here carry an Eng Scorer tier.
Exceptional and strong are the top two of the five tiers. 19 of the 132 people here with a read sit in them, 14%. 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.
19%Titles that rose15 of 79 classified people
79 of the 132 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 79 of the 132 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 130 people here with a school on file.
Of the 130 people here with a school on file, 34 list UC Berkeley, 8 list Stanford and 8 list UIUC. A person can list more than one school, so these overlap rather than add up.
33 of the 132 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%.
67% of the people who have worked at TikTok and list a location live in the San Francisco Bay Area today, against 47% of everyone on the map.
All 132 people who worked at TikTok 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 TikTok: 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 TikTok, 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 TikTok? See how your profile reads to a startup hiring manager, and where it ranks among 26,572 engineers.
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