Stop choosing between applying fast and applying well.
Send the same application to fifty jobs and hope. Or spend your evenings finding the right three and tailoring each one. SwiftFit does the second at the speed of the first.
Selection readout
Illustrative: authored for this page.
- Source
- Company boards
- Screened
- 5,412
- Assayed
- 30
- Cut-off
- 65
Staff Data Engineer, Platform Verrill Grid | Assayed | 9191 out of 100, above the cut-off of 65, fire-assayed against your profile |
Senior Engineer, Data Infrastructure Halden Systems | Assayed | 8484 out of 100, above the cut-off of 65, fire-assayed against your profile |
Cut-off 65 | ||
Analytics Engineer Motte & Co. · Two levels below your seniority. | Assayed | 6464 out of 100, below the cut-off of 65, fire-assayed against your profile |
Backend Engineer, Ingestion Pelham Labs | Screened | 6363 out of 100, below the cut-off of 65, screened by similarity only |
You have been picking one or the other.
Both work. Each costs you the thing the other one gives.
| Generic, at scale | Tailored, by hand | SwiftFit | |
|---|---|---|---|
| Jobs that actually fit | Hit and miss | Yes | Yes |
| An application written for the job | No | Yes | Yes |
| Evenings it costs you | Few | Most of them | Few |
You see the jobs worth your time, read the resume already written for the one you pick, and apply.
Every grade shows its working.
Four elements, scored separately. The weakest one explains the verdict.
Staff Data Engineer, Platform · Verrill Grid
- Work
- 9/10
- Industry
- 8/10
- Level
- 9/10
- Day to day
- 7/10
Pipelines and warehouse modelling. Energy data, like your last two roles. Staff, with a scope statement. On-call you did not ask for.
91
Above the cut-off of 65.
Apply
Day to day, at 7.
Then it writes the one you send.
Rewritten for that posting, from your own resume. Never invented.
- Built and maintained ETL pipelines for the analytics team, moving data from production Postgres into the warehouse nightly.
- Worked with stakeholders across the business to define reporting requirements and deliver dashboards.
- Owned the nightly ingestion path from production Postgres into the warehouse, the ETL and the dimensional models on top of it.
- Set reporting scope directly with the teams that used it, then built and maintained the dashboards against those definitions.
Same jobs, same dates, same numbers, written to answer this particular posting.
Start with either.
Five steps to a ranked list. Or none at all to a better resume.
The resume you build in the editor comes with you if you sign up later.