Hiring volume by itself is not enough. If you are targeting multiple countries, the better question is: which markets are actually posting now, which employers are driving that volume, and how concentrated is the demand?
This report uses ATSRadar data to compare 30-day, 60-day, and 90-day hiring activity across the United States, Canada, Germany, Spain, the United Kingdom, France, and Italy. The focus is practical: where volume is strongest, where company breadth is wider, and which industries are creating the most opportunity.
Biggest 90-day market: United States with 133,095 postings and 5,501 distinct hiring companies.
Strongest 30-day volume right now: United States at 83,950 postings in the latest 30-day window.
Fastest recent acceleration: United States (+47,512 postings vs the prior 30 days).
Cooling most vs the previous 30 days: France (+395 postings).
Broadest company base: United States with 5,501 distinct companies across the 90-day view.
Highest concentration: Italy where the top 10 companies account for 68.96% of 90-day postings.
Data coverage
90-day jobs analyzed: 274,959 total postings, with 147,118 (53.51%) inside the seven-country scope.
Coverage quality: country parsed 82.46%, company identity 100.00%, known industry 80.93%, postedAt present 95.82%.
Executive summary
The charts below are built from the same normalized dataset and the same date logic across all seven countries. That makes the 30 / 60 / 90-day comparisons useful for job seekers who want to understand both current volume and recent momentum, instead of relying on a single static ranking.
Cross-country overview
Use the grouped country comparison first to see where total volume sits today, then use the weekly trend and country sections to understand whether that volume is broad-based or concentrated in a smaller group of employers.
Country-by-country breakdown
Each country section includes:
the top hiring companies
the industries driving the most postings
30 / 60 / 90-day exact-value tables
a short read on whether the latest 30-day window is accelerating or cooling
Executive summary
This snapshot compares seven markets using the same ATSRadar dataset and the same date logic across 30, 60, and 90 days. The goal is not raw board-size parity with LinkedIn or Glassdoor, but a cleaner read on where hiring is concentrated, which employers are posting the most roles, and which industries are driving that demand.
Cross-country overview
By 90-day volume, the strongest markets in this snapshot are United States, United Kingdom, and Canada. Recent momentum is strongest in United States, Canada, and United Kingdom.
Chart 1: Total postings by country (30 / 60 / 90 days)
Last 30 daysLast 60 daysLast 90 days
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Country
30-day postings
60-day postings
90-day postings
Distinct companies (90d)
Recent 30 vs prior 30
Top 10 concentration (90d)
United States
83950
120388
133095
5501
+47,512
13.75%
United Kingdom
3233
5484
5744
656
+982
29.70%
Canada
1984
2730
2897
434
+1,238
20.12%
Germany
1458
2101
2208
277
+815
40.94%
Spain
895
1255
1295
166
+535
44.71%
France
773
1151
1254
169
+395
43.54%
Italy
489
580
625
80
+398
68.96%
Country
30-day postings
60-day postings
90-day postings
Distinct companies (90d)
Recent 30 vs prior 30
Top 10 concentration (90d)
United States
83950
120388
133095
5501
+47,512
13.75%
United Kingdom
3233
5484
5744
656
+982
29.70%
Canada
1984
2730
2897
434
+1,238
20.12%
Germany
1458
2101
2208
277
+815
40.94%
Spain
895
1255
1295
166
+535
44.71%
France
773
1151
1254
169
+395
43.54%
Italy
489
580
625
80
+398
68.96%
Chart 2: Weekly posting volume by country (last 90 days)
United StatesCanadaGermanySpainUnited KingdomFranceItaly
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Week start (UTC)
United States
Canada
Germany
Spain
United Kingdom
France
Italy
2025-12-15
326
3
4
0
18
0
0
2025-12-22
1111
11
13
3
12
12
2
2025-12-29
1585
20
7
5
23
17
5
2026-01-05
4087
63
40
22
79
34
21
2026-01-12
5616
70
44
10
128
40
17
2026-01-19
5281
129
71
24
167
49
15
2026-01-26
7228
145
179
64
205
63
9
2026-02-02
9634
224
137
32
246
115
10
2026-02-09
12401
216
220
128
1556
114
43
2026-02-16
14874
313
262
232
539
190
52
2026-02-23
18970
491
328
201
871
194
48
2026-03-02
24083
555
373
297
941
178
352
2026-03-09
18551
459
268
182
720
158
27
2026-03-16
9348
198
262
95
239
90
24
Week start (UTC)
United States
Canada
Germany
Spain
United Kingdom
France
Italy
2025-12-15
326
3
4
0
18
0
0
2025-12-22
1111
11
13
3
12
12
2
2025-12-29
1585
20
7
5
23
17
5
2026-01-05
4087
63
40
22
79
34
21
2026-01-12
5616
70
44
10
128
40
17
Showing first 5 of 14 rows.
Chart 3: How concentrated hiring is by country
Higher values mean a smaller set of employers is driving more of the observed volume.
Top 10 company share (90d)
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Country
Top 10 company share (90d)
Distinct companies (90d)
United States
13.75%
5501
United Kingdom
29.70%
656
Canada
20.12%
434
Germany
40.94%
277
Spain
44.71%
166
France
43.54%
169
Italy
68.96%
80
Country
Top 10 company share (90d)
Distinct companies (90d)
United States
13.75%
5501
United Kingdom
29.70%
656
Canada
20.12%
434
Germany
40.94%
277
Spain
44.71%
166
France
43.54%
169
Italy
68.96%
80
Country-by-country breakdown
United States
United States logged 83,950 postings in the last 30 days, 120,388 in 60 days, and 133,095 in 90 days. The latest 30-day window is accelerating (+47,512 vs the prior 30 days), and the market spans 5,501 distinct companies over 90 days.
Top-10 company concentration: 30d 17.19%, 60d 14.74%, 90d 13.75%.
Top hiring companies in United States (last 90 days)
90-day postings
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Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Carvana
1976
2.35%
2689
2.23%
2934
2.20%
Centriaautism
2286
2.72%
2660
2.21%
2714
2.04%
Lifestance
1256
1.50%
2271
1.89%
2485
1.87%
Andurilindustries
2027
2.41%
2028
1.68%
2028
1.52%
Equipmentsharecom
1708
2.03%
1708
1.42%
1708
1.28%
Spacex
344
0.41%
1558
1.29%
1558
1.17%
Speechify
1525
1.82%
1540
1.28%
1540
1.16%
Cgsfederal
1173
1.40%
1246
1.03%
1261
0.95%
Renuity
841
1.00%
1202
1.00%
1232
0.93%
Veterinaryemergencygroupst
840
1.00%
840
0.70%
840
0.63%
Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Carvana
1976
2.35%
2689
2.23%
2934
2.20%
Centriaautism
2286
2.72%
2660
2.21%
2714
2.04%
Lifestance
1256
1.50%
2271
1.89%
2485
1.87%
Andurilindustries
2027
2.41%
2028
1.68%
2028
1.52%
Equipmentsharecom
1708
2.03%
1708
1.42%
1708
1.28%
Showing first 5 of 10 rows.
Top industries in United States (last 90 days)
90-day postings
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Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
21307
25.38%
31152
25.88%
34951
26.26%
Other/Unknown
12754
15.19%
18039
14.98%
20111
15.11%
AI/ML
10245
12.20%
16763
13.92%
19098
14.35%
Marketplace/Logistics
13597
16.20%
17062
14.17%
18050
13.56%
Healthcare
10577
12.60%
15174
12.60%
16381
12.31%
Cybersecurity
4682
5.58%
7542
6.26%
8560
6.43%
Fintech
4301
5.12%
5474
4.55%
5825
4.38%
Education
2314
2.76%
3413
2.84%
3772
2.83%
Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
21307
25.38%
31152
25.88%
34951
26.26%
Other/Unknown
12754
15.19%
18039
14.98%
20111
15.11%
AI/ML
10245
12.20%
16763
13.92%
19098
14.35%
Marketplace/Logistics
13597
16.20%
17062
14.17%
18050
13.56%
Healthcare
10577
12.60%
15174
12.60%
16381
12.31%
Showing first 5 of 8 rows.
Canada
Canada logged 1,984 postings in the last 30 days, 2,730 in 60 days, and 2,897 in 90 days. The latest 30-day window is accelerating (+1,238 vs the prior 30 days), and the market spans 434 distinct companies over 90 days.
Top-10 company concentration: 30d 26.61%, 60d 21.17%, 90d 20.12%.
Top hiring companies in Canada (last 90 days)
90-day postings
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Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Clutch
91
4.59%
119
4.36%
122
4.21%
Lightspeedhq
84
4.23%
85
3.11%
85
2.93%
2k
50
2.52%
54
1.98%
54
1.86%
Monks
52
2.62%
52
1.90%
52
1.79%
Appdirect
40
2.02%
49
1.79%
49
1.69%
Industrialelectricmanufacturing
48
2.42%
48
1.76%
48
1.66%
Mthreerecruitingportal
48
2.42%
48
1.76%
48
1.66%
Lightspeedhqfr
41
2.07%
42
1.54%
42
1.45%
Airbnb
28
1.41%
40
1.47%
42
1.45%
Sonypicturesimageworks
9
0.45%
41
1.50%
41
1.42%
Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Clutch
91
4.59%
119
4.36%
122
4.21%
Lightspeedhq
84
4.23%
85
3.11%
85
2.93%
2k
50
2.52%
54
1.98%
54
1.86%
Monks
52
2.62%
52
1.90%
52
1.79%
Appdirect
40
2.02%
49
1.79%
49
1.69%
Showing first 5 of 10 rows.
Top industries in Canada (last 90 days)
90-day postings
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Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
907
45.72%
1233
45.16%
1322
45.63%
Other/Unknown
297
14.97%
410
15.02%
416
14.36%
AI/ML
192
9.68%
305
11.17%
327
11.29%
Marketplace/Logistics
150
7.56%
195
7.14%
202
6.97%
Fintech
134
6.75%
176
6.45%
183
6.32%
Cybersecurity
87
4.39%
119
4.36%
138
4.76%
Healthcare
66
3.33%
118
4.32%
121
4.18%
E-commerce/Consumer
80
4.03%
94
3.44%
107
3.69%
Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
907
45.72%
1233
45.16%
1322
45.63%
Other/Unknown
297
14.97%
410
15.02%
416
14.36%
AI/ML
192
9.68%
305
11.17%
327
11.29%
Marketplace/Logistics
150
7.56%
195
7.14%
202
6.97%
Fintech
134
6.75%
176
6.45%
183
6.32%
Showing first 5 of 8 rows.
Germany
Germany logged 1,458 postings in the last 30 days, 2,101 in 60 days, and 2,208 in 90 days. The latest 30-day window is accelerating (+815 vs the prior 30 days), and the market spans 277 distinct companies over 90 days.
Top-10 company concentration: 30d 52.13%, 60d 42.22%, 90d 40.94%.
Top hiring companies in Germany (last 90 days)
90-day postings
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Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Teampicnic
209
14.33%
254
12.09%
254
11.50%
Wppmedia
138
9.47%
138
6.57%
138
6.25%
Doctolib
76
5.21%
76
3.62%
76
3.44%
Wolt
37
2.54%
72
3.43%
72
3.26%
Isaraerospace
67
4.60%
69
3.28%
69
3.13%
The Exploration Company
29
1.99%
53
2.52%
69
3.13%
Boltv2
58
3.98%
60
2.86%
60
2.72%
Celonis
55
3.77%
57
2.71%
58
2.63%
Black Semiconductor GmbH
10
0.69%
55
2.62%
55
2.49%
Databricks
53
3.64%
53
2.52%
53
2.40%
Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Teampicnic
209
14.33%
254
12.09%
254
11.50%
Wppmedia
138
9.47%
138
6.57%
138
6.25%
Doctolib
76
5.21%
76
3.62%
76
3.44%
Wolt
37
2.54%
72
3.43%
72
3.26%
Isaraerospace
67
4.60%
69
3.28%
69
3.13%
Showing first 5 of 10 rows.
Top industries in Germany (last 90 days)
90-day postings
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Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
519
35.60%
691
32.89%
727
32.93%
Marketplace/Logistics
361
24.76%
458
21.80%
467
21.15%
AI/ML
164
11.25%
304
14.47%
338
15.31%
Other/Unknown
129
8.85%
220
10.47%
229
10.37%
Cybersecurity
98
6.72%
133
6.33%
141
6.39%
Media/Entertainment
61
4.18%
79
3.76%
79
3.58%
Fintech
40
2.74%
59
2.81%
61
2.76%
Healthcare
24
1.65%
53
2.52%
55
2.49%
Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
519
35.60%
691
32.89%
727
32.93%
Marketplace/Logistics
361
24.76%
458
21.80%
467
21.15%
AI/ML
164
11.25%
304
14.47%
338
15.31%
Other/Unknown
129
8.85%
220
10.47%
229
10.37%
Cybersecurity
98
6.72%
133
6.33%
141
6.39%
Showing first 5 of 8 rows.
Spain
Spain logged 895 postings in the last 30 days, 1,255 in 60 days, and 1,295 in 90 days. The latest 30-day window is accelerating (+535 vs the prior 30 days), and the market spans 166 distinct companies over 90 days.
Top-10 company concentration: 30d 48.94%, 60d 45.66%, 90d 44.71%.
Top hiring companies in Spain (last 90 days)
90-day postings
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Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Brainrocketltd
44
4.92%
120
9.56%
120
9.27%
Celonis
75
8.38%
81
6.45%
81
6.25%
Superbet
70
7.82%
70
5.58%
70
5.41%
Scopely
63
7.04%
63
5.02%
63
4.86%
Neoris
43
4.80%
53
4.22%
55
4.25%
Alan
19
2.12%
46
3.67%
46
3.55%
Bitpanda
41
4.58%
43
3.43%
43
3.32%
Appodeal
11
1.23%
37
2.95%
37
2.86%
Diamondfoundry
15
1.68%
17
1.35%
33
2.55%
Speechify
29
3.24%
31
2.47%
31
2.39%
Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Brainrocketltd
44
4.92%
120
9.56%
120
9.27%
Celonis
75
8.38%
81
6.45%
81
6.25%
Superbet
70
7.82%
70
5.58%
70
5.41%
Scopely
63
7.04%
63
5.02%
63
4.86%
Neoris
43
4.80%
53
4.22%
55
4.25%
Showing first 5 of 10 rows.
Top industries in Spain (last 90 days)
90-day postings
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Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
481
53.74%
673
53.63%
696
53.75%
AI/ML
97
10.84%
156
12.43%
163
12.59%
Other/Unknown
107
11.96%
141
11.24%
142
10.97%
Fintech
67
7.49%
79
6.29%
81
6.25%
Cybersecurity
35
3.91%
61
4.86%
62
4.79%
Marketplace/Logistics
37
4.13%
49
3.90%
49
3.78%
Healthcare
27
3.02%
31
2.47%
31
2.39%
E-commerce/Consumer
18
2.01%
28
2.23%
31
2.39%
Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
481
53.74%
673
53.63%
696
53.75%
AI/ML
97
10.84%
156
12.43%
163
12.59%
Other/Unknown
107
11.96%
141
11.24%
142
10.97%
Fintech
67
7.49%
79
6.29%
81
6.25%
Cybersecurity
35
3.91%
61
4.86%
62
4.79%
Showing first 5 of 8 rows.
United Kingdom
United Kingdom logged 3,233 postings in the last 30 days, 5,484 in 60 days, and 5,744 in 90 days. The latest 30-day window is accelerating (+982 vs the prior 30 days), and the market spans 656 distinct companies over 90 days.
Top-10 company concentration: 30d 23.91%, 60d 31.09%, 90d 29.70%.
Top hiring companies in United Kingdom (last 90 days)
90-day postings
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Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Privateequityinsights
0
0.00%
570
10.39%
570
9.92%
Unitedmedia
0
0.00%
181
3.30%
181
3.15%
Cfoinsights
0
0.00%
177
3.23%
177
3.08%
Hrtechx
0
0.00%
173
3.15%
173
3.01%
Wppmedia
159
4.92%
159
2.90%
159
2.77%
Sohohouseco
92
2.85%
123
2.24%
123
2.14%
Bjak
110
3.40%
114
2.08%
115
2.00%
Anaplan
59
1.82%
71
1.29%
71
1.24%
Graphcore
70
2.17%
70
1.28%
70
1.22%
Janestreet
65
2.01%
67
1.22%
67
1.17%
Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Privateequityinsights
0
0.00%
570
10.39%
570
9.92%
Unitedmedia
0
0.00%
181
3.30%
181
3.15%
Cfoinsights
0
0.00%
177
3.23%
177
3.08%
Hrtechx
0
0.00%
173
3.15%
173
3.01%
Wppmedia
159
4.92%
159
2.90%
159
2.77%
Showing first 5 of 10 rows.
Top industries in United Kingdom (last 90 days)
90-day postings
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Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
1154
35.69%
1620
29.54%
1738
30.26%
AI/ML
515
15.93%
1100
20.06%
1147
19.97%
Other/Unknown
470
14.54%
907
16.54%
934
16.26%
Marketplace/Logistics
246
7.61%
657
11.98%
675
11.75%
Cybersecurity
261
8.07%
361
6.58%
387
6.74%
Fintech
137
4.24%
231
4.21%
242
4.21%
E-commerce/Consumer
159
4.92%
198
3.61%
202
3.52%
Healthcare
142
4.39%
187
3.41%
193
3.36%
Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
1154
35.69%
1620
29.54%
1738
30.26%
AI/ML
515
15.93%
1100
20.06%
1147
19.97%
Other/Unknown
470
14.54%
907
16.54%
934
16.26%
Marketplace/Logistics
246
7.61%
657
11.98%
675
11.75%
Cybersecurity
261
8.07%
361
6.58%
387
6.74%
Showing first 5 of 8 rows.
France
France logged 773 postings in the last 30 days, 1,151 in 60 days, and 1,254 in 90 days. The latest 30-day window is accelerating (+395 vs the prior 30 days), and the market spans 169 distinct companies over 90 days.
Top-10 company concentration: 30d 53.43%, 60d 44.48%, 90d 43.54%.
Top hiring companies in France (last 90 days)
90-day postings
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Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Doctolib
135
17.46%
137
11.90%
137
10.93%
Alan
48
6.21%
68
5.91%
87
6.94%
Wppmedia
51
6.60%
51
4.43%
51
4.07%
Artefactlinkedin
23
2.98%
45
3.91%
45
3.59%
Artefact
23
2.98%
40
3.48%
40
3.19%
Teampicnic
31
4.01%
39
3.39%
39
3.11%
Artefactjobs
21
2.72%
39
3.39%
39
3.11%
The Exploration Company
15
1.94%
32
2.78%
38
3.03%
Ledger
4
0.52%
28
2.43%
37
2.95%
Alma31
21
2.72%
30
2.61%
33
2.63%
Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Doctolib
135
17.46%
137
11.90%
137
10.93%
Alan
48
6.21%
68
5.91%
87
6.94%
Wppmedia
51
6.60%
51
4.43%
51
4.07%
Artefactlinkedin
23
2.98%
45
3.91%
45
3.59%
Artefact
23
2.98%
40
3.48%
40
3.19%
Showing first 5 of 10 rows.
Top industries in France (last 90 days)
90-day postings
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Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
358
46.31%
498
43.27%
533
42.50%
AI/ML
122
15.78%
206
17.90%
231
18.42%
Other/Unknown
94
12.16%
126
10.95%
142
11.32%
Marketplace/Logistics
93
12.03%
120
10.43%
124
9.89%
Cybersecurity
53
6.86%
95
8.25%
107
8.53%
E-commerce/Consumer
13
1.68%
28
2.43%
28
2.23%
Media/Entertainment
18
2.33%
22
1.91%
24
1.91%
Healthcare
7
0.91%
21
1.82%
21
1.67%
Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Software/SaaS
358
46.31%
498
43.27%
533
42.50%
AI/ML
122
15.78%
206
17.90%
231
18.42%
Other/Unknown
94
12.16%
126
10.95%
142
11.32%
Marketplace/Logistics
93
12.03%
120
10.43%
124
9.89%
Cybersecurity
53
6.86%
95
8.25%
107
8.53%
Showing first 5 of 8 rows.
Italy
Italy logged 489 postings in the last 30 days, 580 in 60 days, and 625 in 90 days. The latest 30-day window is accelerating (+398 vs the prior 30 days), and the market spans 80 distinct companies over 90 days.
Top-10 company concentration: 30d 74.85%, 60d 70.17%, 90d 68.96%.
Top hiring companies in Italy (last 90 days)
90-day postings
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Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Jdsports
280
57.26%
280
48.28%
280
44.80%
Satispay
8
1.64%
27
4.66%
44
7.04%
Deel
8
1.64%
23
3.97%
27
4.32%
Wppmedia
15
3.07%
15
2.59%
15
2.40%
The Exploration Company
6
1.23%
7
1.21%
13
2.08%
Speechify
9
1.84%
12
2.07%
12
1.92%
Cfoinsights
10
2.04%
10
1.72%
10
1.60%
Jensenhughes
10
2.04%
10
1.72%
10
1.60%
Privateequityinsights
10
2.04%
10
1.72%
10
1.60%
Unitedmedia
10
2.04%
10
1.72%
10
1.60%
Company
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
Jdsports
280
57.26%
280
48.28%
280
44.80%
Satispay
8
1.64%
27
4.66%
44
7.04%
Deel
8
1.64%
23
3.97%
27
4.32%
Wppmedia
15
3.07%
15
2.59%
15
2.40%
The Exploration Company
6
1.23%
7
1.21%
13
2.08%
Showing first 5 of 10 rows.
Top industries in Italy (last 90 days)
90-day postings
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Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
E-commerce/Consumer
281
57.46%
289
49.83%
289
46.24%
Software/SaaS
67
13.70%
102
17.59%
122
19.52%
AI/ML
22
4.50%
41
7.07%
54
8.64%
Cybersecurity
23
4.70%
43
7.41%
49
7.84%
Marketplace/Logistics
31
6.34%
33
5.69%
33
5.28%
Other/Unknown
29
5.93%
30
5.17%
33
5.28%
Media/Entertainment
18
3.68%
18
3.10%
18
2.88%
Fintech
8
1.64%
9
1.55%
11
1.76%
Industry
30-day postings
30-day share
60-day postings
60-day share
90-day postings
90-day share
E-commerce/Consumer
281
57.46%
289
49.83%
289
46.24%
Software/SaaS
67
13.70%
102
17.59%
122
19.52%
AI/ML
22
4.50%
41
7.07%
54
8.64%
Cybersecurity
23
4.70%
43
7.41%
49
7.84%
Marketplace/Logistics
31
6.34%
33
5.69%
33
5.28%
Showing first 5 of 8 rows.
What job seekers should do with this
If you are open to relocation or international scope, start with United States, United Kingdom, and Canada for sheer volume and layer in United States, Canada, and United Kingdom for momentum. For industry targeting, the strongest recurring buckets across these seven markets are Software/SaaS, AI/ML, Marketplace/Logistics, Healthcare, and Cybersecurity.
Use one alert per target country so you can tune titles, exclusions, and cadence to each market instead of merging everything into one feed.
Prioritize countries where both 30-day volume and 90-day company breadth are strong; that usually means more room to pivot if one employer slows down.
If a country is highly concentrated, shortlist the top employers directly and monitor them closely because a small number of companies are driving most of the opportunity.
If you are flexible on industry, start with Software/SaaS, AI/ML, Marketplace/Logistics before widening into lower-volume niches.
Methodology and limitations
Methodology
Windows: rolling 30, 60, and 90 days ending 2026-03-19 (UTC).
Date field: Job date uses postedAt when available; scannedAt is used only when postedAt is missing.
Company grouping: Company grouping uses normalized jobs.company text (lowercased, punctuation stripped, whitespace collapsed).
Industry mapping: Industry uses company metadata first, then category/department hints, then deterministic keyword inference. This post rolls industries into a stable cross-country taxonomy.
Country normalization: Country uses normalized location parsing with aliases such as US/USA/United States -> United States and UK/Great Britain/United Kingdom -> United Kingdom.
Active-job policy: Rankings use unique postings observed inside each rolling window rather than filtering to current isActive=true, because current active state can undercount historical hiring activity inside 60/90-day windows.
Coverage: country parsed 82.46%, company identity 100.00%, known industry 80.93%, postedAt present 95.82%, scannedAt fallback 4.18%.
Limitations
The article is scoped to United States, Canada, Germany, Spain, United Kingdom, France, and Italy only, so it is not a full view of all ATSRadar coverage.
Country parsing depends on ATS free-text location fields; some rows stay unknown/unparsed and are excluded from these rankings.
Company identity is grouped from normalized company-name text, so rare edge-case spelling variants can still split one employer into multiple groups.
Industry can come from company metadata, structured hints, or deterministic inference; anything ambiguous rolls into Other/Unknown and is kept out of top-industry rankings when possible.
The current active flag is reported for transparency (68.42% of 90-day rows are still active), but the ranking itself measures posting activity observed inside each window rather than only jobs still open today.
Track this automatically with ATSRadar
If you want this broken down for your own titles, exclusions, countries, and update cadence, create alerts directly inside ATSRadar instead of checking country rankings manually each week.
AI proficiency is no longer a niche signal in hiring, especially for knowledge workers.
Using ATS Radar job data (all geographies), we analyzed how often postings mention AI-tool proficiency and whether employers frame it as required, preferred, or general context.
This report focuses on knowledge-worker roles first, then compares that with the broader workforce.
Charts and Data Breakdown
Snapshot refreshed: Mar 11, 2026 02:54 UTC.
Chart 1: Share of job postings mentioning AI tools (30/60/90 days)
Any AI mentionRequired or preferred
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Window
Total jobs
AI mention jobs
AI mention %
Required+Preferred %
30d
110705
27963
25.26%
5.95%
60d
136590
32906
24.09%
5.81%
90d
144462
34169
23.65%
5.71%
Window
Total jobs
AI mention jobs
AI mention %
Required+Preferred %
30d
110705
27963
25.26%
5.95%
60d
136590
32906
24.09%
5.81%
90d
144462
34169
23.65%
5.71%
Chart 2: Top role families by AI-mention rate
AI mention %Required+Preferred %
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Role family
Total jobs
AI mention %
Required+Preferred %
Data
4902
45.90%
18.32%
Product
2417
43.03%
15.64%
Engineering
27478
39.29%
9.56%
Customer Success
1324
38.75%
10.73%
Security
6280
36.27%
6.02%
Design
4595
31.19%
10.82%
Finance
5259
22.78%
7.00%
Marketing
8453
21.21%
4.02%
Operations/RevOps
11753
19.65%
3.03%
Sales
15363
17.26%
2.43%
Role family
Total jobs
AI mention %
Required+Preferred %
Data
4902
45.90%
18.32%
Product
2417
43.03%
15.64%
Engineering
27478
39.29%
9.56%
Customer Success
1324
38.75%
10.73%
Security
6280
36.27%
6.02%
Showing first 5 of 10 rows.
Chart 3: Top industries by AI-mention rate
AI mention %Required+Preferred %
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Industry
Total jobs
AI mention %
Required+Preferred %
Software/SaaS
44821
34.21%
8.04%
AI/ML
21947
29.58%
10.45%
Marketplace/Logistics
17686
24.25%
3.56%
Fintech
8817
21.15%
4.58%
Cybersecurity
8107
20.11%
4.05%
Education
3165
16.05%
0.95%
Energy/Climate
1711
15.55%
2.28%
Other/Unknown
20051
11.64%
2.34%
Healthcare
12169
9.59%
3.20%
Government/Nonprofit
1891
5.55%
1.22%
Industry
Total jobs
AI mention %
Required+Preferred %
Software/SaaS
44821
34.21%
8.04%
AI/ML
21947
29.58%
10.45%
Marketplace/Logistics
17686
24.25%
3.56%
Fintech
8817
21.15%
4.58%
Cybersecurity
8107
20.11%
4.05%
Showing first 5 of 10 rows.
Chart 4: Required vs preferred vs general AI mention split
% of AI mentions% of all jobs
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Class
Jobs
% of AI mentions
% of all jobs
Required / expected
7160
20.95%
4.96%
Preferred / bonus
1096
3.21%
0.76%
General mention
24320
71.18%
16.83%
Company / product context
1593
4.66%
1.10%
Class
Jobs
% of AI mentions
% of all jobs
Required / expected
7160
20.95%
4.96%
Preferred / bonus
1096
3.21%
0.76%
General mention
24320
71.18%
16.83%
Company / product context
1593
4.66%
1.10%
Chart 5: Entry-level vs mid-level vs leadership AI mention rates
AI mention %Required+Preferred %
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Seniority
Total jobs
AI mention %
Required+Preferred %
Mid-level
91985
23.47%
5.85%
Leadership
44105
24.82%
5.24%
Entry-level
8372
19.58%
6.75%
Seniority
Total jobs
AI mention %
Required+Preferred %
Mid-level
91985
23.47%
5.85%
Leadership
44105
24.82%
5.24%
Entry-level
8372
19.58%
6.75%
Chart 6: Most commonly named AI tools
Mentioning jobs% of AI mentions
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Tool
Mentioning jobs
% of AI-mention jobs
Claude
1286
3.76%
ChatGPT
956
2.80%
GitHub Copilot
798
2.34%
OpenAI
782
2.29%
Cursor
712
2.08%
Anthropic
708
2.07%
Gemini
707
2.07%
Midjourney
102
0.30%
Perplexity
57
0.17%
Llama
54
0.16%
Tool
Mentioning jobs
% of AI-mention jobs
Claude
1286
3.76%
ChatGPT
956
2.80%
GitHub Copilot
798
2.34%
OpenAI
782
2.29%
Cursor
712
2.08%
Showing first 5 of 10 rows.
Chart 7: Knowledge workers vs broader workforce
AI mention %Required+Preferred %
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Segment
Total jobs
AI mention %
Required+Preferred %
All jobs
144462
23.65%
5.71%
Knowledge workers
92154
29.25%
7.06%
Non-knowledge workforce
52308
13.80%
3.34%
Segment
Total jobs
AI mention %
Required+Preferred %
All jobs
144462
23.65%
5.71%
Knowledge workers
92154
29.25%
7.06%
Non-knowledge workforce
52308
13.80%
3.34%
Key findings (last 90 days)
23.65% of analyzable postings mention AI tools or AI proficiency in some form.
In knowledge-worker roles, that rises to 29.25%.
Explicitly required or preferred AI proficiency appears in 5.71% of all postings and 7.06% of knowledge-worker postings.
AI mention rates have increased from 23.65% (90d) to 25.26% (30d).
Remote roles show higher AI-mention rates (35.94%) than hybrid (26.94%) or onsite (18.02%).
30 / 60 / 90-day trend
Window
Total jobs
Jobs mentioning AI
AI mention rate
Required rate
Preferred rate
90 days
144,462
34,169
23.65%
4.96%
0.76%
60 days
136,590
32,906
24.09%
5.07%
0.74%
30 days
110,705
27,963
25.26%
5.26%
0.69%
Takeaway: AI mentions are rising in recent postings, but the biggest growth is still in general expectation language, not explicit preferred/bonus language.
Knowledge workers vs broader workforce
Segment
Total jobs
AI mention rate
Required + preferred
Knowledge-worker roles
92,154
29.25%
7.06%
Non-knowledge roles
52,308
13.80%
3.34%
All analyzable roles
144,462
23.65%
5.71%
This gap is material: knowledge-worker postings are about 2.1x as likely to mention AI.
Which knowledge-work role families mention AI the most?
Role family
Total jobs
AI mention rate
Required + preferred
Data
4,902
45.90%
18.32%
Product
2,417
43.03%
15.64%
Engineering
27,478
39.29%
9.56%
Customer Success
1,324
38.75%
10.73%
Security
6,280
36.27%
6.02%
Design
4,595
31.19%
10.82%
Finance
5,259
22.78%
7.00%
Marketing
8,453
21.21%
4.02%
Operations / RevOps
11,753
19.65%
3.03%
Sales
15,363
17.26%
2.43%
AI expectations are strongest in technical and analytical families, but non-technical corporate functions are clearly involved.
Which industries mention AI proficiency most?
Industry
Total jobs
AI mention rate
Required + preferred
Software/SaaS
44,821
34.21%
8.04%
AI/ML
21,947
29.58%
10.45%
Marketplace/Logistics
17,686
24.25%
3.56%
Fintech
8,817
21.15%
4.58%
Cybersecurity
8,107
20.11%
4.05%
Education
3,165
16.05%
0.95%
Energy/Climate
1,711
15.55%
2.28%
Healthcare
12,169
9.59%
3.20%
Interpretation: AI language is broadest in software-heavy sectors, but it is not limited to AI-native companies.
Required vs preferred vs general mention
Across all AI-mention postings (90d):
Class
Jobs
Share of AI mentions
Share of all jobs
Required / expected
7,160
20.95%
4.96%
Preferred / bonus
1,096
3.21%
0.76%
General mention
24,320
71.18%
16.83%
Company/product context only
1,593
4.66%
1.10%
The big signal right now: AI is often treated as baseline context in job language, while explicit “must-have” phrasing is growing but not yet dominant.
Entry-level vs leadership: who gets AI expectations?
Seniority group
Total jobs
AI mention rate
Required + preferred
Entry-level
8,372
19.58%
6.75%
Mid-level IC
91,985
23.47%
5.85%
Leadership (Manager+)
44,105
24.82%
5.24%
Leadership postings mention AI more often overall, but explicit required/preferred phrasing is not dramatically higher than IC roles.
Which AI tools are named directly?
Named-tool mentions are still a minority vs generic AI language.
Tool
Mentioning jobs
% of AI-mention jobs
Claude
1,286
3.76%
ChatGPT
956
2.80%
GitHub Copilot
798
2.34%
OpenAI
782
2.29%
Cursor
712
2.08%
Anthropic
708
2.07%
Gemini
707
2.07%
For job seekers: optimize for AI workflows and outcomes, not just one branded tool.
Practical read for job seekers
If you are applying into knowledge-work roles in 2026, assume AI literacy is now an expected part of your toolkit, even when postings are not explicit.
A practical approach:
Add concrete AI workflow examples to resume bullets (analysis, drafting, automation, QA).
Show business outcomes, not just tool names.
Prepare interview stories for responsible AI use and quality control.
For data/product/engineering roles, expect materially higher AI expectations.
For non-technical roles, focus on productivity, documentation, and process automation use cases.
Methodology (short)
Analysis run date: March 10, 2026 (America/Los_Angeles).
Windows: rolling last 30 / 60 / 90 days.
Geography: all available geographies in ATS Radar source data.
Population: active jobs with coalesce(posted_at, scanned_at) in window.
Analyzable text filter: description_text length >= 150 and non-harvester parser rows.
Analyzed 90-day base: 144,462 postings.
AI detection: rule-based mention detection across AI terms and named tools, then classification into:
required/expected,
preferred/bonus,
general mention,
company/product context.
Job family and seniority: ATS Radar’s existing rule-based role classification heuristics.
Knowledge-worker definition: all ATS Radar job families except Other.
Limitations and confidence
This is a text-signal analysis, not a verification of how strictly hiring teams enforce each requirement.
Some ATS sources provide shallow descriptions; those were excluded from proficiency classification.
Multi-language posting text and non-standard formatting can cause under-detection or misclassification.
Classification is designed to be conservative for explicit required/preferred labels.
Confidence level: moderate-high for directional trend and segment comparisons, moderate for exact required/preferred split.
Chart-ready data files are available in content/blog/data/ai-tool-proficiency.
Track your own AI-skill market shifts
Use ATS Radar to watch how AI expectations move in your target role family, location, and seniority band.
Across 361,047 postings in the last 90 days, the market mix is 75.06% IC, 19.07% Manager, 3.51% Director, and 2.36% VP/Head.
Senior leadership share (Director + VP/Head + C-level) is 5.87% (+0.37 pp vs the latest 30-day window).
For junior/IC searches right now, the strongest industry mix is in Education, AI/ML, and Marketplace/Logistics.
For manager+ searches, the highest Director/VP concentration is in Fintech, Cybersecurity, and Energy/Climate.
Geographically, senior-heavy demand clusters in United Kingdom, Singapore, and United States, while IC-heavy U.S. states include Ohio, Maryland, and Pennsylvania.
How level is defined in this report
We normalize each role into a level bucket using deterministic rules on title + seniority text (and trimmed description for context):
C-level
VP / Head
Director
Manager
Junior IC
IC (default)
If a title contains multiple labels (for example, Director/Manager), the higher bucket wins.
Data breakdown
What we measured
Window: last 90 days in UTC. Date uses postedAt, with scannedAt fallback when missing.
Level buckets use a deterministic rule order: C-level > VP/Head > Director > Manager > Junior IC > IC default.
Chart A: Overall seniority distribution
ICManagerDirectorVP/Head
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The 30-day bar is included for context so you can spot recent mix shifts.
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Level
Jobs (last 90d)
Share
Junior IC
18,782
5.20%
IC
252,217
69.86%
Manager
68,864
19.07%
Director
12,676
3.51%
VP / Head
6,401
1.77%
C-level
2,107
0.58%
Level
Jobs (last 90d)
Share
Junior IC
18,782
5.20%
IC
252,217
69.86%
Manager
68,864
19.07%
Director
12,676
3.51%
VP / Head
6,401
1.77%
Showing first 5 of 6 rows.
Chart B: Weekly trend of level mix
ICManagerDirectorVP/Head
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Week start (UTC)
Total jobs
IC
Manager
Director
VP/Head
2025-12-22
13
30.77%
61.54%
7.69%
0.00%
2025-12-29
1,599
68.17%
24.70%
2.88%
4.25%
2026-01-05
6,605
67.46%
24.88%
4.22%
3.44%
2026-01-12
7,109
67.51%
25.02%
3.49%
3.98%
2026-01-19
7,610
66.69%
25.62%
4.14%
3.55%
2026-01-26
10,056
66.73%
26.52%
3.65%
3.10%
2026-02-02
12,333
65.37%
27.04%
4.24%
3.35%
2026-02-09
13,978
68.34%
24.30%
4.20%
3.16%
2026-02-16
17,213
71.05%
22.71%
3.47%
2.77%
2026-02-23
23,332
75.06%
19.42%
3.25%
2.26%
2026-03-02
27,808
78.60%
16.68%
2.76%
1.96%
2026-03-09
20,127
79.50%
16.17%
2.49%
1.84%
2026-03-16
21,008
79.02%
16.16%
2.68%
2.15%
2026-03-23
192,256
76.49%
17.66%
3.70%
2.14%
Week start (UTC)
Total jobs
IC
Manager
Director
VP/Head
2025-12-22
13
30.77%
61.54%
7.69%
0.00%
2025-12-29
1,599
68.17%
24.70%
2.88%
4.25%
2026-01-05
6,605
67.46%
24.88%
4.22%
3.44%
2026-01-12
7,109
67.51%
25.02%
3.49%
3.98%
2026-01-19
7,610
66.69%
25.62%
4.14%
3.55%
Showing first 5 of 14 rows.
Chart C: Industries with highest junior/IC share
Junior/IC share
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Only industries above 200 jobs are included to reduce noise.
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Industry
Total jobs
Junior/IC share
Manager
Director
VP/Head
Education
7,530
84.85%
10.53%
3.16%
1.46%
AI/ML
57,802
81.54%
13.83%
2.21%
2.42%
Marketplace/Logistics
78,069
79.53%
15.27%
2.91%
2.29%
Healthcare
31,739
75.04%
18.62%
5.20%
1.14%
Government/Nonprofit
5,965
74.23%
18.93%
4.56%
2.28%
Energy/Climate
2,579
72.31%
20.78%
4.38%
2.52%
Cybersecurity
20,005
71.41%
21.63%
4.54%
2.41%
Software/SaaS
98,887
68.94%
24.38%
4.15%
2.52%
E-commerce/Consumer
7,535
68.81%
26.10%
2.46%
2.63%
Fintech
23,445
68.58%
23.47%
5.04%
2.91%
Industry
Total jobs
Junior/IC share
Manager
Director
VP/Head
Education
7,530
84.85%
10.53%
3.16%
1.46%
AI/ML
57,802
81.54%
13.83%
2.21%
2.42%
Marketplace/Logistics
78,069
79.53%
15.27%
2.91%
2.29%
Healthcare
31,739
75.04%
18.62%
5.20%
1.14%
Government/Nonprofit
5,965
74.23%
18.93%
4.56%
2.28%
Showing first 5 of 10 rows.
Chart D: Industries with highest Director/VP share
Director+VP share
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Industry
Total jobs
Director+VP share
IC
Manager
Director
VP/Head
Fintech
23,445
7.95%
68.58%
23.47%
5.04%
2.91%
Cybersecurity
20,005
6.96%
71.41%
21.63%
4.54%
2.41%
Energy/Climate
2,579
6.90%
72.31%
20.78%
4.38%
2.52%
Government/Nonprofit
5,965
6.84%
74.23%
18.93%
4.56%
2.28%
Software/SaaS
98,887
6.68%
68.94%
24.38%
4.15%
2.52%
Healthcare
31,739
6.34%
75.04%
18.62%
5.20%
1.14%
Marketplace/Logistics
78,069
5.20%
79.53%
15.27%
2.91%
2.29%
E-commerce/Consumer
7,535
5.08%
68.81%
26.10%
2.46%
2.63%
AI/ML
57,802
4.63%
81.54%
13.83%
2.21%
2.42%
Education
7,530
4.62%
84.85%
10.53%
3.16%
1.46%
Industry
Total jobs
Director+VP share
IC
Manager
Director
VP/Head
Fintech
23,445
7.95%
68.58%
23.47%
5.04%
2.91%
Cybersecurity
20,005
6.96%
71.41%
21.63%
4.54%
2.41%
Energy/Climate
2,579
6.90%
72.31%
20.78%
4.38%
2.52%
Government/Nonprofit
5,965
6.84%
74.23%
18.93%
4.56%
2.28%
Software/SaaS
98,887
6.68%
68.94%
24.38%
4.15%
2.52%
Showing first 5 of 10 rows.
Chart E: Countries ranked by Director/VP share
Director+VP share
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Unknown country rows are excluded from rankings and tracked in data coverage below.
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Country
Total jobs
Director+VP share
IC
Manager
Director
VP/Head
United Kingdom
7,236
12.92%
62.34%
24.74%
6.34%
6.58%
Singapore
2,290
10.31%
64.50%
25.20%
6.99%
3.32%
United States
167,805
7.21%
71.09%
21.69%
4.53%
2.68%
Canada
3,725
6.55%
72.27%
21.18%
4.72%
1.83%
Germany
3,161
5.73%
67.13%
27.14%
3.51%
2.21%
Spain
1,945
4.94%
69.67%
25.40%
2.98%
1.95%
Netherlands
1,657
4.22%
73.57%
22.21%
2.05%
2.17%
India
5,549
3.71%
73.22%
23.07%
3.08%
0.63%
France
3,264
2.94%
83.21%
13.85%
1.78%
1.16%
Nederland
6,046
2.18%
93.55%
4.27%
0.15%
2.03%
Country
Total jobs
Director+VP share
IC
Manager
Director
VP/Head
United Kingdom
7,236
12.92%
62.34%
24.74%
6.34%
6.58%
Singapore
2,290
10.31%
64.50%
25.20%
6.99%
3.32%
United States
167,805
7.21%
71.09%
21.69%
4.53%
2.68%
Canada
3,725
6.55%
72.27%
21.18%
4.72%
1.83%
Germany
3,161
5.73%
67.13%
27.14%
3.51%
2.21%
Showing first 5 of 10 rows.
Chart F: U.S. states ranked by IC share
IC share
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State ranking uses U.S.-parsed rows only and applies the same minimum-volume threshold.
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State
Total jobs
IC share
Manager
Director
VP/Head
Ohio
2,972
83.55%
13.39%
2.25%
0.81%
Maryland
3,508
82.18%
14.62%
2.08%
1.11%
Pennsylvania
3,215
80.68%
14.65%
2.89%
1.77%
Virginia
4,323
80.15%
16.38%
2.04%
1.43%
Texas
8,958
79.24%
16.69%
2.68%
1.40%
Arizona
2,753
79.11%
17.44%
2.69%
0.76%
Georgia
2,521
78.86%
16.22%
3.13%
1.79%
Florida
4,799
77.97%
18.21%
2.33%
1.48%
North Carolina
2,830
77.88%
16.82%
3.43%
1.87%
Colorado
2,617
74.02%
20.48%
3.71%
1.80%
State
Total jobs
IC share
Manager
Director
VP/Head
Ohio
2,972
83.55%
13.39%
2.25%
0.81%
Maryland
3,508
82.18%
14.62%
2.08%
1.11%
Pennsylvania
3,215
80.68%
14.65%
2.89%
1.77%
Virginia
4,323
80.15%
16.38%
2.04%
1.43%
Texas
8,958
79.24%
16.69%
2.68%
1.40%
Showing first 5 of 10 rows.
If you're entry-level / junior / IC
Focus first on Education, AI/ML, Marketplace/Logistics, and Healthcare and geo targets like Ohio, Maryland, United States, and United Kingdom.
Alert titles: software engineer, data analyst, product analyst, associate, junior.
Include keywords: entry level, new grad, associate, 0-2 years.
Exclude noise: principal, director, vp, head of.
Use one broad country alert plus one narrow state/city alert to balance volume and precision.
If you're manager+
Prioritize Fintech, Cybersecurity, Energy/Climate, and Government/Nonprofit and geos like United Kingdom, Singapore, United States, and Canada.
Alert titles: engineering manager, director, head of, vp.
Include keywords: people leadership, org design, cross-functional leadership.
Set location filters to top countries/states from this snapshot and refresh those filters weekly.
Methodology and limitations
Methodology
Window: 90 days ending 2026-03-28T00:28:04.917Z (UTC).
Date coverage: postedAt present 43.19%; scannedAt fallback 56.81%.
Level inference: Level buckets are deterministic and ordered: C-level > VP/Head > Director > Manager > Junior IC > IC default. Matching uses normalized title, seniority text, and trimmed description.
Industry inference: Industry uses company metadata first, then category/department mapping, then deterministic keyword inference from company/title/description.
Geography extraction: Country and U.S. state are parsed from normalized location text. Unknown geography is excluded from Top N rankings and reported in data coverage.
Thresholds: industry charts use at least 200 jobs; geo charts use at least 100 jobs.
Limitations
Titles can include mixed labels (for example, Director/Manager), so rule-based bucketing is directional.
Location parsing depends on ATS free-text fields; some rows remain unknown/unparsed.
Industry can be inferred when structured metadata is missing.
This is a rolling snapshot, so rankings can move week to week.
Coverage: parsed country 83.11%, parsed U.S. state 70.71%, known industry 92.39%, explicit level signal 30.14%.
If you're open to relocation or hybrid, prioritize Los Angeles, Los Angeles (CA (on-site)), San Carlos, California (United States), Manila, Manila (Philippines (hybrid)), Hayward, California (United States), and Bangalore, Bangalore (India) first.
For remote searches, set country-specific alerts for United States, United Kingdom, and Deutschland.
When applying in the hottest metros, submit within 24-48 hours because net-new volume is moving quickly.
Keep one alert for your primary target metro and one backup alert for a rising adjacent market.
Re-check this ranking weekly and move effort away from cooling markets.
Key takeaways
Total net-new postings (last 30 days): 270,399 vs 65,088 in the prior window (+205,311).
Top country by net-new postings: United States (+782 vs prior 30 days).
Top normalized metro: Hybrid - San Francisco, California (United States) at 102,000.0 postings per 10k active companies.
Top metro by absolute postings: Hybrid - San Francisco, California (United States) (51 postings).
Biggest riser: Hybrid - San Francisco, California (United States) (+49 vs prior 30 days).
Largest cooling market: Foster City, W (F) (-36 vs prior 30 days).
Data coverage
Parsed country coverage: 79.63% (215,321 of 270,399 postings).
Parsed city coverage: 70.78% (191,400 of 270,399 postings).
Unknown/unparsed values are excluded from Top N rankings and tracked separately here.
Hiring demand is not moving evenly across markets. Some metros are accelerating on both volume and density, while others are cooling after a stronger prior month.
Where the hiring is shifting
What we measured
Net-new postings: postings in the last 30 days minus postings in the prior 30-day window.
Job density (normalized rate): postings_last30 / active_companies_180d * 10,000. This controls for company presence in each metro rather than total population size.
Chart A: Top countries by net-new postings
Net-new postings
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Country
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
United States
1405
623
+782
+125.5%
CA (hybrid)
153
21
+132
+628.6%
India
120
29
+91
+313.8%
FL (hybrid)
75
20
+55
+275.0%
United Kingdom
76
22
+54
+245.4%
CA (on-site)
46
5
+41
+820.0%
Hamburg (hybrid)
43
9
+34
+377.8%
VA (hybrid)
37
4
+33
+825.0%
Philippines (hybrid)
34
5
+29
+580.0%
New York (hybrid)
41
15
+26
+173.3%
Country
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
United States
1405
623
+782
+125.5%
CA (hybrid)
153
21
+132
+628.6%
India
120
29
+91
+313.8%
FL (hybrid)
75
20
+55
+275.0%
United Kingdom
76
22
+54
+245.4%
Showing first 5 of 10 rows.
Chart B: Top metros by net-new postings per 10k companies
Postings per 10k companies
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Metro
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Active companies (180d)
Postings per 10k companies
Hybrid - San Francisco, California (United States)
51
2
+49
+2450.0%
5
102,000.0
Metro
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Active companies (180d)
Postings per 10k companies
Hybrid - San Francisco, California (United States)
51
2
+49
+2450.0%
5
102,000.0
Chart C: Top metros by absolute net-new postings
Postings (last 30d)
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Metro
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Hybrid - San Francisco, California (United States)
51
2
+49
+2450.0%
Metro
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Hybrid - San Francisco, California (United States)
51
2
+49
+2450.0%
Chart D: Hotspots vs cooling markets (delta vs prior 30d)
Delta postings
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Metro
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Hybrid - San Francisco, California (United States)
51
2
+49
+2450.0%
Los Angeles, Los Angeles (CA (on-site))
44
5
+39
+780.0%
San Carlos, California (United States)
35
0
+35
+3500.0%
Hamburg, Hamburg (hybrid)
43
9
+34
+377.8%
Hayward, California (United States)
33
1
+32
+3200.0%
Foster City, W (F)
16
52
-36
-69.2%
Paris, Main Office (Main Office)
8
31
-23
-74.2%
Dubai, Main Office (Main Office)
10
26
-16
-61.5%
Metro
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Hybrid - San Francisco, California (United States)
51
2
+49
+2450.0%
Los Angeles, Los Angeles (CA (on-site))
44
5
+39
+780.0%
San Carlos, California (United States)
35
0
+35
+3500.0%
Hamburg, Hamburg (hybrid)
43
9
+34
+377.8%
Hayward, California (United States)
33
1
+32
+3200.0%
Showing first 5 of 8 rows.
Chart E: Total postings trend (last 60 days)
Total postings
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Day (UTC)
Postings
2026-01-27
939
2026-01-28
1977
2026-01-29
2196
2026-01-30
1848
2026-01-31
317
2026-02-01
155
2026-02-02
2154
2026-02-03
2311
2026-02-04
2234
2026-02-05
2463
2026-02-06
2754
2026-02-07
265
2026-02-08
152
2026-02-09
2077
2026-02-10
2755
2026-02-11
2643
2026-02-12
3102
2026-02-13
2909
2026-02-14
357
2026-02-15
135
2026-02-16
1842
2026-02-17
2947
2026-02-18
3599
2026-02-19
4018
2026-02-20
3868
2026-02-21
677
2026-02-22
262
2026-02-23
4260
2026-02-24
4805
2026-02-25
3735
2026-02-26
3999
2026-02-27
3821
2026-02-28
1553
2026-03-01
1159
2026-03-02
6895
2026-03-03
3535
2026-03-04
4842
2026-03-05
4742
2026-03-06
6896
2026-03-07
387
2026-03-08
511
2026-03-09
6285
2026-03-10
2551
2026-03-11
2599
2026-03-12
2565
2026-03-13
3174
2026-03-14
180
2026-03-15
2773
2026-03-16
2278
2026-03-17
2189
2026-03-18
3633
2026-03-19
4436
2026-03-20
5042
2026-03-21
3290
2026-03-22
140
2026-03-23
8358
2026-03-24
3253
2026-03-25
1413
2026-03-26
164152
2026-03-27
15080
2026-03-28
0
Day (UTC)
Postings
2026-01-27
939
2026-01-28
1977
2026-01-29
2196
2026-01-30
1848
2026-01-31
317
Showing first 5 of 61 rows.
Chart F: Top U.S. regions by normalized rate
Postings per 10k companies
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Region
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Active companies (180d)
Postings per 10k companies
California (United States)
415
133
+282
+212.0%
111
37,387.4
Pennsylvania (United States)
59
18
+41
+227.8%
28
21,071.4
Massachusetts (United States)
85
32
+53
+165.6%
41
20,731.7
Texas (United States)
70
31
+39
+125.8%
54
12,963.0
New York (United States)
89
39
+50
+128.2%
73
12,191.8
Region
Postings (last 30d)
Postings (prior 30d)
Delta
Delta %
Active companies (180d)
Postings per 10k companies
California (United States)
415
133
+282
+212.0%
111
37,387.4
Pennsylvania (United States)
59
18
+41
+227.8%
28
21,071.4
Massachusetts (United States)
85
32
+53
+165.6%
41
20,731.7
Texas (United States)
70
31
+39
+125.8%
54
12,963.0
New York (United States)
89
39
+50
+128.2%
73
12,191.8
Remote-only roles snapshot
Remote-only postings are shown separately because they usually do not map cleanly to city-level metro buckets.
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Country
Remote-only postings (last 30d)
United States
13041
United Kingdom
643
Deutschland
565
Canada
524
India
382
Poland
338
Nederland
276
Germany
271
France
238
Philippines
222
Country
Remote-only postings (last 30d)
United States
13041
United Kingdom
643
Deutschland
565
Canada
524
India
382
Showing first 5 of 10 rows.
If you're open to relocation/hybrid, focus on these 5 areas
Los Angeles, Los Angeles (CA (on-site)): 44 postings in the last 30 days, +39 vs prior window, and 440,000.0 postings per 10k active companies.
San Carlos, California (United States): 35 postings in the last 30 days, +35 vs prior window, and 350,000.0 postings per 10k active companies.
Manila, Manila (Philippines (hybrid)): 33 postings in the last 30 days, +29 vs prior window, and 330,000.0 postings per 10k active companies.
Hayward, California (United States): 33 postings in the last 30 days, +32 vs prior window, and 165,000.0 postings per 10k active companies.
Bangalore, Bangalore (India): 33 postings in the last 30 days, +26 vs prior window, and 165,000.0 postings per 10k active companies.
Practical tips:
Create one alert per focus area with titles + local location terms (city, state, metro aliases).
Run a second broader alert for remote/hybrid to avoid missing adjacent opportunities.
Prioritize companies that posted repeatedly in the same area over the last month.
Rebalance your area list weekly using the risers/cooling table, not static assumptions.
Methodology and limitations
Methodology
Current window: 2026-02-26 to 2026-03-28 (UTC).
Prior window: 2026-01-27 to 2026-02-26 (UTC).
Net-new definition: Net-new postings by area = unique job postings in the current window minus unique job postings in the prior equal-length window.
Date fallback: 203,308 jobs (75.19%) used scannedAt fallback when postedAt was missing.
Coverage: parsed country 79.63%; parsed city 70.78%.
Normalization: Normalized postings per 10k = postings_last30 / distinct companies active in that area over the last 180 days * 10,000.
Geography logic: Country, region, and city are normalized before ranking. Country charts use country labels only; metro charts use City + Region + Country labels; region charts are U.S. states only to avoid mixed geography levels.
Remote handling: Metro and region rankings include only onsite/hybrid rows with concrete geography. Remote roles are reported separately by country.
Ranking thresholds: metros require at least 50 postings in the last 30 days; risers/cooling require at least 25 postings in either window.
Limitations
Location strings in ATS feeds are inconsistent, so some records remain unknown/unparsed.
Metro normalization controls for active-company presence in our dataset, not local labor force size.
Remote roles are split out because many rows use broad location labels (for example, Remote - United States).
This is a rolling 30-day snapshot and should be treated as directional, not permanent.
Unknown/unparsed non-remote rows this cycle: 230,820 (85.36%).
Remote hiring did not disappear, but it is no longer evenly distributed.
In this reality check, we analyze the last 30 days of ATSRadar job data to show where remote roles are concentrated by:
Industry
Seniority level
Country and U.S. state
Job family
When this report says job density, it means remote share (remote jobs / total jobs) in a category. We also show absolute remote-job volume so you can distinguish “high % but small sample” from “high volume and strong share.”
Key takeaways
Remote job density = remote share (remote jobs divided by total jobs). We also show remote-job counts so you can separate high share from low volume.
Overall remote share over the last 30 days: 13.42% (36293 remote jobs out of 270399).
Change vs prior 30-day window: -9.53 pp.
Highest-density industry above the volume threshold (50 jobs): Education at 21.64%.
Most remote-heavy job family this month: Customer Success at 31.06%.
Largest geography bucket by total jobs: United States with 118303 jobs.
Data breakdown
How remote changed this month
Daily remote share ranged from 0.00% (2026-03-28) to 47.86% (2026-03-22). This helps separate temporary daily dips from sustained shifts.
Chart A: Daily remote share (%)
Remote share
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Day (UTC)
Total jobs
Remote jobs
Remote share
2026-02-26
2667
314
11.77%
2026-02-27
3821
645
16.88%
2026-02-28
1553
97
6.25%
2026-03-01
1159
60
5.18%
2026-03-02
6895
600
8.70%
2026-03-03
3535
788
22.29%
2026-03-04
4842
618
12.76%
2026-03-05
4742
690
14.55%
2026-03-06
6896
718
10.41%
2026-03-07
387
70
18.09%
2026-03-08
511
20
3.91%
2026-03-09
6285
519
8.26%
2026-03-10
2551
448
17.56%
2026-03-11
2599
496
19.08%
2026-03-12
2565
517
20.16%
2026-03-13
3174
521
16.41%
2026-03-14
180
39
21.67%
2026-03-15
2773
48
1.73%
2026-03-16
2278
395
17.34%
2026-03-17
2189
462
21.11%
2026-03-18
3633
686
18.88%
2026-03-19
4436
398
8.97%
2026-03-20
5042
648
12.85%
2026-03-21
3290
451
13.71%
2026-03-22
140
67
47.86%
2026-03-23
8358
1320
15.79%
2026-03-24
3253
514
15.80%
2026-03-25
1413
406
28.73%
2026-03-26
164152
23561
14.35%
2026-03-27
15080
177
1.17%
2026-03-28
0
0
0.00%
Day (UTC)
Total jobs
Remote jobs
Remote share
2026-02-26
2667
314
11.77%
2026-02-27
3821
645
16.88%
2026-02-28
1553
97
6.25%
2026-03-01
1159
60
5.18%
2026-03-02
6895
600
8.70%
Showing first 5 of 31 rows.
Chart B: Daily mode mix (remote vs hybrid vs onsite)
RemoteHybridOnsite
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Day (UTC)
Remote
Hybrid
Onsite
Unknown mode
2026-02-26
314
22
8
2323
2026-02-27
645
63
16
3097
2026-02-28
97
49
4
1403
2026-03-01
60
1
1
1097
2026-03-02
600
67
44
6184
2026-03-03
788
128
17
2602
2026-03-04
618
60
18
4146
2026-03-05
690
78
25
3949
2026-03-06
718
64
41
6073
2026-03-07
70
6
2
309
2026-03-08
20
1
1
489
2026-03-09
519
40
19
5707
2026-03-10
448
44
28
2031
2026-03-11
496
27
26
2050
2026-03-12
517
37
12
1999
2026-03-13
521
25
23
2605
2026-03-14
39
4
4
133
2026-03-15
48
10
12
2703
2026-03-16
395
19
17
1847
2026-03-17
462
32
17
1678
2026-03-18
686
61
14
2872
2026-03-19
398
28
27
3983
2026-03-20
648
45
31
4318
2026-03-21
451
104
19
2716
2026-03-22
67
2
0
71
2026-03-23
1320
118
61
6859
2026-03-24
514
49
25
2665
2026-03-25
406
17
12
978
2026-03-26
23561
2512
715
137364
2026-03-27
177
24
37
14842
2026-03-28
0
0
0
0
Day (UTC)
Remote
Hybrid
Onsite
Unknown mode
2026-02-26
314
22
8
2323
2026-02-27
645
63
16
3097
2026-02-28
97
49
4
1403
2026-03-01
60
1
1
1097
2026-03-02
600
67
44
6184
Showing first 5 of 31 rows.
Chart C: Top countries by remote share
Remote share
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Country
Total jobs
Remote jobs
Remote share
Change vs prior 30d
United States
118303
13008
11.00%
-7.08 pp
Nederland
6046
276
4.57%
+4.57 pp
United Kingdom
5763
643
11.16%
-13.52 pp
Deutschland
4565
565
12.38%
+12.38 pp
India
4407
382
8.67%
-9.60 pp
Canada
2824
524
18.56%
-18.45 pp
France
2579
238
9.23%
-0.23 pp
Germany
2514
271
10.78%
-2.23 pp
Singapore
1649
85
5.15%
-1.93 pp
Brazil
1603
218
13.60%
-14.10 pp
Spain
1552
201
12.95%
-17.61 pp
Netherlands
1495
116
7.76%
-5.88 pp
Country
Total jobs
Remote jobs
Remote share
Change vs prior 30d
United States
118303
13008
11.00%
-7.08 pp
Nederland
6046
276
4.57%
+4.57 pp
United Kingdom
5763
643
11.16%
-13.52 pp
Deutschland
4565
565
12.38%
+12.38 pp
India
4407
382
8.67%
-9.60 pp
Showing first 5 of 12 rows.
Chart D: U.S. states by remote share (minimum 50 jobs)
Remote share
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US state
Total jobs
Remote jobs
Remote share
Change vs prior 30d
California
17869
280
1.57%
-3.39 pp
New York
9250
175
1.89%
-4.97 pp
Texas
6795
166
2.44%
-5.81 pp
Massachusetts
4367
99
2.27%
-3.53 pp
Florida
3690
117
3.17%
-6.90 pp
Virginia
3244
69
2.13%
-1.49 pp
Illinois
2973
87
2.93%
-6.98 pp
Washington
2963
68
2.29%
-11.12 pp
Maryland
2758
96
3.48%
-8.15 pp
Pennsylvania
2443
27
1.11%
+0.14 pp
Ohio
2240
38
1.70%
-2.37 pp
North Carolina
2159
53
2.45%
-3.58 pp
US state
Total jobs
Remote jobs
Remote share
Change vs prior 30d
California
17869
280
1.57%
-3.39 pp
New York
9250
175
1.89%
-4.97 pp
Texas
6795
166
2.44%
-5.81 pp
Massachusetts
4367
99
2.27%
-3.53 pp
Florida
3690
117
3.17%
-6.90 pp
Showing first 5 of 12 rows.
Chart E: Industry remote density (top 10 by volume threshold)
Remote share
Static chart rendered server-side for reliable loading.
Job density here means remote share (remote jobs divided by total jobs). Volume still matters, so each row also includes absolute remote-job counts.
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Industry
Total jobs
Remote jobs
Remote share
Change vs prior 30d
Education
4987
1079
21.64%
-13.98 pp
Fintech
18992
4027
21.20%
-1.82 pp
Software/SaaS
72768
15235
20.94%
-5.56 pp
Cybersecurity
11552
2004
17.35%
-10.96 pp
Other/Unknown
19887
2849
14.33%
-19.97 pp
Healthcare
21954
2809
12.79%
-1.98 pp
Government/Nonprofit
3674
385
10.48%
-13.92 pp
AI/ML
38958
3952
10.14%
-12.07 pp
E-commerce/Consumer
5883
391
6.65%
-0.35 pp
Energy/Climate
1676
86
5.13%
-2.67 pp
Marketplace/Logistics
70068
3476
4.96%
-6.60 pp
Industry
Total jobs
Remote jobs
Remote share
Change vs prior 30d
Education
4987
1079
21.64%
-13.98 pp
Fintech
18992
4027
21.20%
-1.82 pp
Software/SaaS
72768
15235
20.94%
-5.56 pp
Cybersecurity
11552
2004
17.35%
-10.96 pp
Other/Unknown
19887
2849
14.33%
-19.97 pp
Showing first 5 of 11 rows.
Chart F: Job family remote share
Remote share
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Job family
Total jobs
Remote jobs
Remote share
Change vs prior 30d
Customer Success
2247
698
31.06%
-19.52 pp
Legal
3860
1087
28.16%
+1.21 pp
Product
3726
1039
27.89%
-6.30 pp
Data
5123
1256
24.52%
-10.06 pp
Marketing
8469
1851
21.86%
-5.58 pp
Finance
6500
1362
20.95%
-0.41 pp
Design
5738
1149
20.02%
-4.48 pp
Operations/RevOps
11576
2196
18.97%
-4.01 pp
Engineering
38411
7179
18.69%
-9.61 pp
Sales
20217
3778
18.69%
-9.68 pp
Security
5588
1035
18.52%
-2.03 pp
HR/People
2826
428
15.15%
-12.02 pp
Other
156118
13235
8.48%
-6.59 pp
Job family
Total jobs
Remote jobs
Remote share
Change vs prior 30d
Customer Success
2247
698
31.06%
-19.52 pp
Legal
3860
1087
28.16%
+1.21 pp
Product
3726
1039
27.89%
-6.30 pp
Data
5123
1256
24.52%
-10.06 pp
Marketing
8469
1851
21.86%
-5.58 pp
Showing first 5 of 13 rows.
Unknown geography bucket: 55078 jobs (20.37%). Unknown/Unparsed U.S. state bucket: 28277 jobs (23.90% of U.S. jobs).
What this means if you want remote this month
If remote flexibility is your priority, optimize for job density + volume, not just total openings.
Use this shortlist process:
Prioritize industries with both high remote share and meaningful volume.
Prioritize countries/states with high remote share for your target families.
Target seniority bands that currently skew more remote.
Keep one broad alert for volume and one narrow alert for precision.
Refresh your alert filters weekly as remote concentration shifts.
Use location filters like Remote, United States, and top-performing states from this report.
Add family keywords to avoid irrelevant remote noise.
Track response rates by family and region, then rebalance.
What to do next: Pick one high-density, low-volume segment and one high-volume segment this week. Compare interview response rates after 7 days.
Example alert templates (copy/adapt)
Engineering (remote-first)
include titles: software engineer, backend, frontend, full stack, platform, sre
include keywords: remote, distributed, anywhere
exclude keywords: onsite only, in office
Data (remote)
include titles: data engineer, data scientist, analytics engineer, ml engineer
include keywords: remote, python, sql
Product (remote)
include titles: product manager, product owner, group product manager
include keywords: remote, distributed, b2b saas
Design (remote)
include titles: product designer, ux designer, ui designer
include keywords: remote, figma
Marketing / Growth (remote)
include titles: growth marketing, performance marketing, demand generation
include keywords: remote, seo, lifecycle
Methodology
Window: 30 days ending 2026-03-28T00:28:04.919Z (UTC).
Job date logic: Jobs are included when postedAt is in the window. If postedAt is missing, scannedAt is used as fallback.
Fallback impact: 203308 jobs (75.19%) used scannedAt fallback.
Remote classification: Work mode uses jobs.remoteFlag first, then text rules on title/location/description: remote keywords (remote/work from home/wfh/anywhere/distributed), hybrid keywords, then onsite keywords; otherwise Unknown.
Geography extraction: Country and U.S. state are parsed from normalized location text. Unknown buckets are tracked in data-coverage summary metrics, not top rankings.
Industry inference: Industry uses company metadata when available, then category/department mapping hints, then keyword inference from company/title/description.
Seniority inference: Seniority is inferred from title/seniority text with deterministic keyword mapping (Intern, Junior, Mid, Senior, Staff, Principal, Lead, Manager, Senior Manager, Director, VP, C-level).
Job family inference: Job family is inferred from title + category/department/function hints (Engineering, Data, Product, Design, Sales, Marketing, Customer Success, Finance, HR/People, Operations/RevOps, Security, Legal, Other).
State table threshold: U.S. states require at least 50 jobs in-window (Unknown/Unparsed always shown).
Limitations
ATS location strings are inconsistent, so country/state parsing can miss edge cases.
Remote, hybrid, and onsite classification is rule-based and may misclassify ambiguous wording.
Industry, family, and seniority can be inferred when source fields are missing, which introduces uncertainty.
This is a 30-day snapshot and should be treated as directional, not permanent.