After Applied Predictive Technologies
- 10%Joined a startup5
- 28%Joined a big company14
- 62%Elsewhere
Shares of those who moved on, by their next stop.
People who leave Applied Predictive Technologies most often go to Google, Mastercard Insights & Intelligence and Palantir. Of them, 10% go somewhere small. The median tenure is 2y 2m
Not Applied Predictive Technologies's headcount: these are the engineers in the Zelcast network and the profiles run through the Eng Scorer. 52 people on a map of 67,181, No. 451 on it by people. Updated September 30, 2026.
- People on the map
- 520.1% of everyone on the map
- There now
- 00% of the people here
- Moved on
- 52100% of the people here
- Median tenure
- 2y 2mmiddle half 1y 9m to 2y 8m
Put Applied Predictive Technologies side by side with another employer.
Came from, went to
Ribbon width is the number of people who made the move. Most leave for Google (17% of recorded departures).
43 recorded arrivals from 40 companies, none more than 2 from any one of them
0 of 43 recorded arrivals shown, 43 more from 40 other companies23 of 52 recorded departures shown, 29 more to 26 other companies
How long people stay
5%<1y
30%1-2y
57%2-4y
8%4-7y
0%7y+
37 stays with both a start and an end on the record.
Who comes and goes, by year
3<312
<3<313
4314
12815
9516
14817
91118
6719
<3920
0621
0<322
0023
0024
0025
0026
joined left2026 is a partial year
2012 to 2026: 61 joined, 61 left.
Caliber
85mediantop 10%96
0Eng Scorer caliber, 40 scored99
Titles held here
- Software Engineer Intern18
- Software Engineer14
- Senior Software Engineer7
- Business Consultant6
- Data Engineer4
- Software Engineer II4
- Business Consultant Intern3
7 most common titles, by people who held them.
First job on the record for 19% of people here.
Behind the median
Everyone here with an Eng Scorer read, placed in their caliber tier.
- 13%Exceptional5 people
- 30%Strong12 people
- 40%Solid16 people
- 18%Emerging or unproven7 people
40 of the 52 people here carry an Eng Scorer tier.
17 of the 40 people here with a read sit in exceptional or strong, the top two of the five tiers, 43%. 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. A tier holding fewer than 3 people is printed with the one next to it, because that few is a person rather than a pattern.
Whether a title rose here
The level of the first title recorded here, against the last.
54%Titles that rose27 of 50 classified people
- 54%Rose27 people
- 46%Stayed level or fell23 people
50 of the 52 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. A direction holding fewer than 3 people is printed with the one next to it, because that few is a person rather than a pattern.
Where they studied
- Carnegie Mellon22.0%
- Harvard12.0%
- University of Virginia12.0%
- Cornell10.0%
- Princeton10.0%
- University of Maryland8.0%
- Duke6.0%
- Georgia Tech6.0%
The 8 most listed schools among the 50 people here with a school on file.
11 of the 50 people here with a school on file list Carnegie Mellon, 6 list Harvard and 6 list University of Virginia. A person can list more than one, so these overlap.
Public work
one square is one in a hundred
50%have a public GitHub account on their profile
26 of the 52 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
46% of the people who have worked at Applied Predictive Technologies and list a location live in the San Francisco Bay Area today, against 41% of everyone on the map.
Applied Predictive Technologies
Everyone on the map
- 46%SF Bay Area24 · map 41%
- 31%New York16 · map 18%
- 17%Washington DC9 · map 13%
- 6%Somewhere else3
All 52 people who worked at Applied Predictive Technologies 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 Applied Predictive Technologies: 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 Applied Predictive Technologies, at any point in a career.
Key facts
- 52 people on the Zelcast alumni map have worked at Applied Predictive Technologies: 0 are there now, 52 have moved on.
- Most leave for Google: 9 people, 17% of recorded departures. Then Mastercard Insights & Intelligence and Palantir.
- Median tenure at Applied Predictive Technologies: 2y 2m, middle half 1y 9m to 2y 8m.
- Of the people with a recorded next move after Applied Predictive Technologies, fewer than 3 went to a founder title next, 10% joined a company of 200 or fewer, and 28% joined one of 10,000 or more.
- Median Eng Scorer caliber here: 85 on the 0 to 99 scale, across 40 scored people.
- Most common title held here: Software Engineer Intern, then Software Engineer.
- Top school: Carnegie Mellon, listed by 11 of the 50 people here with one on file (22.0%). Then Harvard (6).
- 46% of the 52 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.
- 50% of the 52 people here whose profile was checked for public accounts have a public GitHub.
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 Applied Predictive Technologies? See how your profile reads to a startup hiring manager, and where it ranks among 67,181 engineers.
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