Engineers 3.5 to 4.5 years into their current company, the vesting-cliff window
Needs: Current role start date
B2B data, United States (global on request)
Technical Talent Data
Engineers selected on tenure cohorts, career paths and employer history across ~1.7M current US engineers: vesting-cliff windows, loyal staff engineers, consulting-to-product movers, defense-contractor alumni and more.
On the August 2026 refresh, ~200k US engineers are 3.5 to 4.5 years into their current company, the window where most equity has vested. ~110k staff or principal engineers have ten or more years and three or fewer employers. ~94k moved from the large consultancies into product companies, ~180k spent two or more years at a defense contractor, ~48k PhDs went straight into industry machine learning or data science, and ~86k reached staff or principal within six years of a bachelor's degree.
Path queries nobody else surfaces: ~74k engineers went from individual contributor to manager and back, ~44k former founders now hold engineering or product roles, ~43k returned to a former employer, and ~6.0k left a FAANG in the last twelve months. Counts are rounded and computed from self-described titles and employers. For sourcing and outreach, not employment decisions.
Cuts we run today
Staff or principal engineers with ten or more years and three or fewer employers
Needs: Full dated history
Engineers who moved from the large consultancies into product companies
Needs: Employer history
Engineers with two or more years at a defense contractor
Needs: Employer history with dates
PhDs who went straight into industry ML or data science within two years
Needs: Education end date joined to first role
Reached staff or principal within six years of a bachelor's degree
Needs: Education end date joined to title timeline
Went from individual contributor to manager and back to individual contributor
Needs: Ordered title path
Former founders now in engineering or product roles
Needs: Ended founder role, current employed role
Boomerangs: back at a former employer after time elsewhere
Needs: Employer sequence with gaps
Left a FAANG in the last twelve months and now work elsewhere
Needs: Employer end dates
General-graph counts are computed on a one-in-eight sample of the professional graph, US profiles only, scaled to the population and rounded, August 2026 release. License counts come from the monthly registers, September 2026 data. Career-changer counts come from a US real estate professional profile extract joined to the registers. Every cut is a query over self-described titles, employers and dates, so a match is a filter to sample, not a verdict about a person.
Sample rows
Illustrative and synthetic. Real samples for your geography are a reply away.
| profile_id | name | current_title | current_company | current_start | years_experience | employers_total | prior_employer | education | location | work_email_status |
|---|---|---|---|---|---|---|---|---|---|---|
| PR4••• | S••••• R•• | Staff Software Engineer | V••••• Robotics | 11/2022 | 12 | 3 | Lockheed Martin | BS Computer Science | Denver, CO | Verified |
| PR9••• | L•• C••• | Machine Learning Engineer | O••••• Labs | 02/2024 | 4 | 1 | Stanford (PhD) | PhD Electrical Engineering | Palo Alto, CA | Pattern inferred |
Schema
| Field | Type | Notes |
|---|---|---|
| profile_id | url | non-personal |
| name | text | personal data |
| current_title | currency | non-personal |
| current_company | currency | non-personal |
| current_start | currency | non-personal |
| years_experience | number | non-personal |
| employers_total | text | non-personal |
| prior_employer | text | non-personal |
| education | text | non-personal |
| location | text | non-personal |
| work_email_status | personal data |
Abridged. The full data dictionary ships with every sample and lists every field, its fill rate and its source.
Used for
- Tenure-timed outreach to vesting-cliff cohorts
- Staff and principal searches with loyalty history
- Cleared-adjacent and defense-alumni sourcing
- Research-to-industry ML hiring
- Boomerang and alumni programs
How it is built
Profiles are refreshed monthly. Every role carries normalized title, employer, industry and dates; education carries institution, degree and end date. Each cut is a query over the ordered history. Counts on this page are from a 12.5% sample of the file scaled to the population, August 2026 release.
Questions we get
Do you have skills data?
Thinly. The cuts here deliberately avoid skills and run on titles, employers and dates, which are filled on nearly every profile.
Can you attach company stage at the time of a move?
Current stage, yes. Stage at the time of a past move needs the funding timeline and is on the roadmap.
Is this suitable for hiring decisions?
It is a sourcing and outreach list. It is not a consumer report and is not for use in employment, credit, insurance or housing eligibility decisions.