“experiences”
Appeared in 65% of designer job listings the week of 2026-11-02 (56 of 86 postings).
First tracked 2026-04-13 · 21 weeks of collected data · peak prevalence 70% · no data collected Jul 27 – Sep 27
“experiences” 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 70% · 38 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 | 3397 |
| Staff Product Designer | 1400 |
| Product Designer | 1180 |
| Design Lead | 521 |
| Principal Product Designer | 481 |
| UX Designer | 468 |
| AI Product Designer | 332 |
| Design Engineer | 279 |
| Content Designer | 204 |
| UX Researcher | 142 |
| Growth Designer | 141 |
| UX Writer | 139 |
| Design Systems Engineer | 68 |
| Product Design Manager | 51 |
| Associate Product Designer | 42 |
| Design Director | 25 |
| Brand Designer | 25 |
| Junior Product Designer | 23 |
| Head of Design | 22 |
| Design Generalist | 2 |
Roles where “experiences” 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.
- UX Writer86% · 56 of 65 listings · 145 mentions
- Principal Product Designer83% · 159 of 192 listings · 516 mentions
- Staff Product Designer82% · 564 of 687 listings · 1,591 mentions
- Content Designer80% · 86 of 107 listings · 256 mentions
- Growth Designer80% · 64 of 80 listings · 173 mentions
- Product Design Manager80% · 35 of 44 listings · 104 mentions
- Senior Product Designer78% · 1,298 of 1,657 listings · 3,580 mentions
- AI Product Designer76% · 93 of 123 listings · 337 mentions
- Design Lead74% · 189 of 256 listings · 545 mentions
- UX Researcher69% · 144 of 208 listings · 210 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.