“fast”
Appeared in 40% of designer job listings the week of 2026-11-02 (34 of 86 postings).
First tracked 2026-04-13 · 21 weeks of collected data · peak prevalence 45% · no data collected Jul 27 – Sep 27
“fast” prevalence in designer JDs, by week
2026-04-13 → 2026-11-02% of each week's designer postings that mention this term · 21 collected weeks · peak 45% · 37 earlier weeks from before collection began not shown · hatched rows: no data collected, not 0%
Where the conversation happens
View as table
| Role | Total mentions |
|---|---|
| Senior Product Designer | 1008 |
| Product Designer | 489 |
| Staff Product Designer | 443 |
| Design Engineer | 222 |
| UX Designer | 124 |
| Design Lead | 114 |
| Principal Product Designer | 92 |
| AI Product Designer | 75 |
| UX Researcher | 37 |
| Growth Designer | 36 |
| Design Systems Engineer | 31 |
| Content Designer | 25 |
| UX Writer | 21 |
| Junior Product Designer | 15 |
| Design Director | 14 |
| Brand Designer | 13 |
| Product Design Manager | 11 |
| Associate Product Designer | 6 |
| Head of Design | 5 |
| Design Generalist | 2 |
Roles where “fast” appears most
Ranked by share of the role's active listings that include this term. Roles with fewer than 20 active listings are left out.
- Growth Designer50% · 40 of 80 listings · 68 mentions
- Design Director49% · 28 of 57 listings · 36 mentions
- Product Designer47% · 330 of 704 listings · 523 mentions
- Junior Product Designer47% · 21 of 45 listings · 25 mentions
- Staff Product Designer44% · 301 of 687 listings · 490 mentions
- Senior Product Designer43% · 709 of 1,657 listings · 1,049 mentions
- Brand Designer41% · 34 of 83 listings · 54 mentions
- Associate Product Designer40% · 14 of 35 listings · 15 mentions
- Design Lead36% · 92 of 256 listings · 128 mentions
- AI Product Designer33% · 41 of 123 listings · 77 mentions
About this tracker
Every active designer listing in our corpus is tokenized: HTML stripped, stopwords (common English words + job-posting boilerplate) removed, pure numbers dropped. The remaining tokens are bucketed into Monday-anchored weeks based on when each listing was first seen. Counts are weekly totals across every listing for that week. A week only counts as collected if our LinkedIn scrape (about 80% of volume) ran that week; weeks when it didn't are shown hatched as gaps, never as zeros.