After Primer.ai
- 8%Founded something4
- 23%Joined a startup11
- 19%Joined a big company9
- 50%Elsewhere
Shares of those who moved on, by their next stop.
People who leave Primer.ai most often go to Meta. Of them, 8% found something next and 23% go somewhere small. The median tenure is 2y 1m
Not Primer.ai's headcount: these are the engineers in the Zelcast network and the profiles run through the Eng Scorer. 60 people on a map of 67,181, No. 400 on it by people. Updated September 30, 2026.
- People on the map
- 600.1% of everyone on the map
- There now
- 1017% of the people here
- Moved on
- 5083% of the people here
- Median tenure
- 2y 1mmiddle half 1y to 3y 9m
Came from, went to
Ribbon width is the number of people who made the move. Most arrive from Microsoft. Most leave for Meta (6% of recorded departures).
4 of 56 recorded arrivals shown, 52 more from 51 other companies3 of 48 recorded departures shown, 45 more to 43 other companies
How long people stay
18%<1y
30%1-2y
29%2-4y
21%4-7y
2%7y+
56 stays with both a start and an end on the record.
Who comes and goes, by year
<3015
<3016
9<317
3318
8319
8320
18721
32022
<3523
3624
5<325
0<326
joined left2026 is a partial year
2015 to 2026: 61 joined, 51 left.
Caliber
83mediantop 10%94
0Eng Scorer caliber, 35 scored99
Titles held here
- Senior Software Engineer16
- Software Engineer7
- Machine Learning Engineer6
- Software Engineer II6
- Director of Engineering4
- Senior Data Scientist4
- Staff Software Engineer4
- Staff Data Scientist3
8 most common titles, by people who held them.
Behind the median
Everyone here with an Eng Scorer read, placed in their caliber tier.
- 9%Exceptional3 people
- 14%Strong5 people
- 43%Solid15 people
- 23%Emerging8 people
- 11%Unproven4 people
35 of the 60 people here carry an Eng Scorer tier.
8 of the 35 people here with a read sit in exceptional or strong, the top two of the five tiers, 23%. A tier is the band a caliber score falls in, so this is the same measurement as the median on the caliber card, opened up.
Whether a title rose here
The level of the first title recorded here, against the last.
57%Titles that rose28 of 49 classified people
- 57%Rose28 people
- 31%Stayed level15 people
- 12%Fell6 people
49 of the 60 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 with one title here who then left, it's 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. Titles that match no rung are left out rather than guessed, and product, program and project managers are left out entirely as a different ladder. What's left leans towards people who have left: someone still here on one recorded title has nothing to measure against.
Where they studied
- Stanford18.6%
- UC Berkeley17.0%
- Georgia Tech10.2%
- Carnegie Mellon6.8%
- MIT6.8%
- Columbia5.1%
- Penn State5.1%
- Princeton5.1%
The 8 most listed schools among the 59 people here with a school on file.
11 of the 59 people here with a school on file list Stanford, 10 list UC Berkeley and 6 list Georgia Tech. A person can list more than one, so these overlap.
Public work
one square is one in a hundred
47%have a public GitHub account on their profile
28 of the 60 people here whose profile was checked for public accounts. An account the check missed reads the same as no account, so this is a floor.
31% is the median across the 857 companies that can show this figure.
Where they are now
50% of the people who have worked at Primer.ai and list a location live in the San Francisco Bay Area today, against 41% of everyone on the map.
Primer.ai
Everyone on the map
- 50%SF Bay Area30 · map 41%
- 20%New York12 · map 18%
- 12%Washington DC7 · map 13%
- 5%Denver3 · map 0.8%
- 13%Somewhere else8
All 60 people who worked at Primer.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 working at Primer.ai: a metro here isn't an office there. The lower strip is the same metros across the whole map.
On the same resumes
Companies that show up most often alongside Primer.ai, at any point in a career.
Key facts
- 60 people on the Zelcast alumni map have worked at Primer.ai: 10 are there now, 50 have moved on.
- Most leave for Meta: 3 people, 6% of recorded departures.
- Most arrive from Microsoft: 4 people.
- Median tenure at Primer.ai: 2y 1m, middle half 1y to 3y 9m.
- Of the people with a recorded next move after Primer.ai, 8% went to a founder title next, 23% joined a company of 200 or fewer, and 19% joined one of 10,000 or more.
- Median Eng Scorer caliber here: 83 on the 0 to 99 scale, across 35 scored people.
- Most common title held here: Senior Software Engineer, then Software Engineer.
- Top school: Stanford, listed by 11 of the 59 people here with one on file (18.6%). Then UC Berkeley (10).
- 50% of the 60 people here who list a location live in SF Bay Area today, against 41% across the map. Where they live now, not the office they sat in while they worked here.
- 47% of the 60 people here whose profile was checked for public accounts have a public GitHub.
- 28 rose, 15 stayed level, 6 fell, out of the 49 people here whose title could be placed on a ladder before and after.
About this data: built from 352,028 jobs across 67,181 engineers in the Zelcast network and Eng Scorer reads, updated September 30, 2026. A move counts when the next role starts within 24 months of leaving. Companies under 20 people on the map aren't shown, and destinations under 3 people fold into the totals. Caliber is the Eng Scorer score.
Worked at Primer.ai? See how your profile reads to a startup hiring manager, and where it ranks among 67,181 engineers.
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