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Top Companies Hiring Across the US, Canada, Germany, Spain, the UK, France, and Italy

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A 30, 60, and 90-day view of which companies and industries are driving hiring across seven major markets.

Mar 18, 2026 · 2 min read · ATSRadar
#hiring trends #job market #companies #countries #data

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.

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Key takeaways

  • 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
133,095 99,821 66,548 33,274 0 United StatesUnited KingdomCanadaGermanySpainFranceItaly

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Country30-day postings60-day postings90-day postingsDistinct companies (90d)Recent 30 vs prior 30Top 10 concentration (90d)
United States839501203881330955501+47,51213.75%
United Kingdom323354845744656+98229.70%
Canada198427302897434+1,23820.12%
Germany145821012208277+81540.94%
Spain89512551295166+53544.71%
France77311511254169+39543.54%
Italy48958062580+39868.96%
Country30-day postings60-day postings90-day postingsDistinct companies (90d)Recent 30 vs prior 30Top 10 concentration (90d)
United States839501203881330955501+47,51213.75%
United Kingdom323354845744656+98229.70%
Canada198427302897434+1,23820.12%
Germany145821012208277+81540.94%
Spain89512551295166+53544.71%
France77311511254169+39543.54%
Italy48958062580+39868.96%

Chart 2: Weekly posting volume by country (last 90 days)

United StatesCanadaGermanySpainUnited KingdomFranceItaly
24,083 18,062 12,042 6,021 0 12-1501-0501-1902-0902-2303-16

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Week start (UTC)United StatesCanadaGermanySpainUnited KingdomFranceItaly
2025-12-153263401800
2025-12-2211111113312122
2025-12-291585207523175
2026-01-054087634022793421
2026-01-1256167044101284017
2026-01-19528112971241674915
2026-01-26722814517964205639
2026-02-0296342241373224611510
2026-02-0912401216220128155611443
2026-02-161487431326223253919052
2026-02-231897049132820187119448
2026-03-0224083555373297941178352
2026-03-091855145926818272015827
2026-03-169348198262952399024
Week start (UTC)United StatesCanadaGermanySpainUnited KingdomFranceItaly
2025-12-153263401800
2025-12-2211111113312122
2025-12-291585207523175
2026-01-054087634022793421
2026-01-1256167044101284017

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)
69.0% 51.7% 34.5% 17.2% 0.0% ItalySpainFranceGermanyUnited KingdomCanadaUnited States

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CountryTop 10 company share (90d)Distinct companies (90d)
United States13.75%5501
United Kingdom29.70%656
Canada20.12%434
Germany40.94%277
Spain44.71%166
France43.54%169
Italy68.96%80
CountryTop 10 company share (90d)Distinct companies (90d)
United States13.75%5501
United Kingdom29.70%656
Canada20.12%434
Germany40.94%277
Spain44.71%166
France43.54%169
Italy68.96%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
0 734 1,467 2,201 2,934 CarvanaCentriaautismLifestanceAndurilindustriesEquipmentsharecomSpacexSpeechifyCgsfederalRenuityVeterinaryemergencygr...

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Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Carvana19762.35%26892.23%29342.20%
Centriaautism22862.72%26602.21%27142.04%
Lifestance12561.50%22711.89%24851.87%
Andurilindustries20272.41%20281.68%20281.52%
Equipmentsharecom17082.03%17081.42%17081.28%
Spacex3440.41%15581.29%15581.17%
Speechify15251.82%15401.28%15401.16%
Cgsfederal11731.40%12461.03%12610.95%
Renuity8411.00%12021.00%12320.93%
Veterinaryemergencygroupst8401.00%8400.70%8400.63%
Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Carvana19762.35%26892.23%29342.20%
Centriaautism22862.72%26602.21%27142.04%
Lifestance12561.50%22711.89%24851.87%
Andurilindustries20272.41%20281.68%20281.52%
Equipmentsharecom17082.03%17081.42%17081.28%

Showing first 5 of 10 rows.

Top industries in United States (last 90 days)

90-day postings
0 8,738 17,476 26,213 34,951 Software/SaaSAI/MLMarketplace/LogisticsHealthcareCybersecurityFintechEducationE-commerce/Consumer

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Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS2130725.38%3115225.88%3495126.26%
Other/Unknown1275415.19%1803914.98%2011115.11%
AI/ML1024512.20%1676313.92%1909814.35%
Marketplace/Logistics1359716.20%1706214.17%1805013.56%
Healthcare1057712.60%1517412.60%1638112.31%
Cybersecurity46825.58%75426.26%85606.43%
Fintech43015.12%54744.55%58254.38%
Education23142.76%34132.84%37722.83%
Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS2130725.38%3115225.88%3495126.26%
Other/Unknown1275415.19%1803914.98%2011115.11%
AI/ML1024512.20%1676313.92%1909814.35%
Marketplace/Logistics1359716.20%1706214.17%1805013.56%
Healthcare1057712.60%1517412.60%1638112.31%

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
0 31 61 92 122 ClutchLightspeedhq2kMonksAppdirectIndustrialelectricman...MthreerecruitingportalAirbnbLightspeedhqfrSonypicturesimageworks

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Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Clutch914.59%1194.36%1224.21%
Lightspeedhq844.23%853.11%852.93%
2k502.52%541.98%541.86%
Monks522.62%521.90%521.79%
Appdirect402.02%491.79%491.69%
Industrialelectricmanufacturing482.42%481.76%481.66%
Mthreerecruitingportal482.42%481.76%481.66%
Lightspeedhqfr412.07%421.54%421.45%
Airbnb281.41%401.47%421.45%
Sonypicturesimageworks90.45%411.50%411.42%
Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Clutch914.59%1194.36%1224.21%
Lightspeedhq844.23%853.11%852.93%
2k502.52%541.98%541.86%
Monks522.62%521.90%521.79%
Appdirect402.02%491.79%491.69%

Showing first 5 of 10 rows.

Top industries in Canada (last 90 days)

90-day postings
0 331 661 992 1,322 Software/SaaSAI/MLMarketplace/LogisticsFintechCybersecurityHealthcareE-commerce/ConsumerMedia/Entertainment

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Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS90745.72%123345.16%132245.63%
Other/Unknown29714.97%41015.02%41614.36%
AI/ML1929.68%30511.17%32711.29%
Marketplace/Logistics1507.56%1957.14%2026.97%
Fintech1346.75%1766.45%1836.32%
Cybersecurity874.39%1194.36%1384.76%
Healthcare663.33%1184.32%1214.18%
E-commerce/Consumer804.03%943.44%1073.69%
Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS90745.72%123345.16%132245.63%
Other/Unknown29714.97%41015.02%41614.36%
AI/ML1929.68%30511.17%32711.29%
Marketplace/Logistics1507.56%1957.14%2026.97%
Fintech1346.75%1766.45%1836.32%

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
0 64 127 191 254 TeampicnicWppmediaDoctolibWoltIsaraerospaceThe Exploration CompanyBoltv2CelonisBlack Semiconductor GmbHDatabricks

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Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Teampicnic20914.33%25412.09%25411.50%
Wppmedia1389.47%1386.57%1386.25%
Doctolib765.21%763.62%763.44%
Wolt372.54%723.43%723.26%
Isaraerospace674.60%693.28%693.13%
The Exploration Company291.99%532.52%693.13%
Boltv2583.98%602.86%602.72%
Celonis553.77%572.71%582.63%
Black Semiconductor GmbH100.69%552.62%552.49%
Databricks533.64%532.52%532.40%
Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Teampicnic20914.33%25412.09%25411.50%
Wppmedia1389.47%1386.57%1386.25%
Doctolib765.21%763.62%763.44%
Wolt372.54%723.43%723.26%
Isaraerospace674.60%693.28%693.13%

Showing first 5 of 10 rows.

Top industries in Germany (last 90 days)

90-day postings
0 182 364 545 727 Software/SaaSMarketplace/LogisticsAI/MLCybersecurityMedia/EntertainmentFintechHealthcareEducation

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Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS51935.60%69132.89%72732.93%
Marketplace/Logistics36124.76%45821.80%46721.15%
AI/ML16411.25%30414.47%33815.31%
Other/Unknown1298.85%22010.47%22910.37%
Cybersecurity986.72%1336.33%1416.39%
Media/Entertainment614.18%793.76%793.58%
Fintech402.74%592.81%612.76%
Healthcare241.65%532.52%552.49%
Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS51935.60%69132.89%72732.93%
Marketplace/Logistics36124.76%45821.80%46721.15%
AI/ML16411.25%30414.47%33815.31%
Other/Unknown1298.85%22010.47%22910.37%
Cybersecurity986.72%1336.33%1416.39%

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
0 30 60 90 120 BrainrocketltdCelonisSuperbetScopelyNeorisAlanBitpandaAppodealDiamondfoundrySpeechify

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Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Brainrocketltd444.92%1209.56%1209.27%
Celonis758.38%816.45%816.25%
Superbet707.82%705.58%705.41%
Scopely637.04%635.02%634.86%
Neoris434.80%534.22%554.25%
Alan192.12%463.67%463.55%
Bitpanda414.58%433.43%433.32%
Appodeal111.23%372.95%372.86%
Diamondfoundry151.68%171.35%332.55%
Speechify293.24%312.47%312.39%
Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Brainrocketltd444.92%1209.56%1209.27%
Celonis758.38%816.45%816.25%
Superbet707.82%705.58%705.41%
Scopely637.04%635.02%634.86%
Neoris434.80%534.22%554.25%

Showing first 5 of 10 rows.

Top industries in Spain (last 90 days)

90-day postings
0 174 348 522 696 Software/SaaSAI/MLFintechCybersecurityMarketplace/LogisticsE-commerce/ConsumerHealthcareMedia/Entertainment

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Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS48153.74%67353.63%69653.75%
AI/ML9710.84%15612.43%16312.59%
Other/Unknown10711.96%14111.24%14210.97%
Fintech677.49%796.29%816.25%
Cybersecurity353.91%614.86%624.79%
Marketplace/Logistics374.13%493.90%493.78%
Healthcare273.02%312.47%312.39%
E-commerce/Consumer182.01%282.23%312.39%
Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS48153.74%67353.63%69653.75%
AI/ML9710.84%15612.43%16312.59%
Other/Unknown10711.96%14111.24%14210.97%
Fintech677.49%796.29%816.25%
Cybersecurity353.91%614.86%624.79%

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
0 143 285 428 570 PrivateequityinsightsUnitedmediaCfoinsightsHrtechxWppmediaSohohousecoBjakAnaplanGraphcoreJanestreet

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Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Privateequityinsights00.00%57010.39%5709.92%
Unitedmedia00.00%1813.30%1813.15%
Cfoinsights00.00%1773.23%1773.08%
Hrtechx00.00%1733.15%1733.01%
Wppmedia1594.92%1592.90%1592.77%
Sohohouseco922.85%1232.24%1232.14%
Bjak1103.40%1142.08%1152.00%
Anaplan591.82%711.29%711.24%
Graphcore702.17%701.28%701.22%
Janestreet652.01%671.22%671.17%
Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Privateequityinsights00.00%57010.39%5709.92%
Unitedmedia00.00%1813.30%1813.15%
Cfoinsights00.00%1773.23%1773.08%
Hrtechx00.00%1733.15%1733.01%
Wppmedia1594.92%1592.90%1592.77%

Showing first 5 of 10 rows.

Top industries in United Kingdom (last 90 days)

90-day postings
0 435 869 1,304 1,738 Software/SaaSAI/MLMarketplace/LogisticsCybersecurityFintechE-commerce/ConsumerHealthcareMedia/Entertainment

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Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS115435.69%162029.54%173830.26%
AI/ML51515.93%110020.06%114719.97%
Other/Unknown47014.54%90716.54%93416.26%
Marketplace/Logistics2467.61%65711.98%67511.75%
Cybersecurity2618.07%3616.58%3876.74%
Fintech1374.24%2314.21%2424.21%
E-commerce/Consumer1594.92%1983.61%2023.52%
Healthcare1424.39%1873.41%1933.36%
Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS115435.69%162029.54%173830.26%
AI/ML51515.93%110020.06%114719.97%
Other/Unknown47014.54%90716.54%93416.26%
Marketplace/Logistics2467.61%65711.98%67511.75%
Cybersecurity2618.07%3616.58%3876.74%

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
0 34 69 103 137 DoctolibAlanWppmediaArtefactlinkedinArtefactArtefactjobsTeampicnicThe Exploration CompanyLedgerAlma31

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Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Doctolib13517.46%13711.90%13710.93%
Alan486.21%685.91%876.94%
Wppmedia516.60%514.43%514.07%
Artefactlinkedin232.98%453.91%453.59%
Artefact232.98%403.48%403.19%
Teampicnic314.01%393.39%393.11%
Artefactjobs212.72%393.39%393.11%
The Exploration Company151.94%322.78%383.03%
Ledger40.52%282.43%372.95%
Alma31212.72%302.61%332.63%
Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Doctolib13517.46%13711.90%13710.93%
Alan486.21%685.91%876.94%
Wppmedia516.60%514.43%514.07%
Artefactlinkedin232.98%453.91%453.59%
Artefact232.98%403.48%403.19%

Showing first 5 of 10 rows.

Top industries in France (last 90 days)

90-day postings
0 133 267 400 533 Software/SaaSAI/MLMarketplace/LogisticsCybersecurityE-commerce/ConsumerMedia/EntertainmentHealthcareFintech

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Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS35846.31%49843.27%53342.50%
AI/ML12215.78%20617.90%23118.42%
Other/Unknown9412.16%12610.95%14211.32%
Marketplace/Logistics9312.03%12010.43%1249.89%
Cybersecurity536.86%958.25%1078.53%
E-commerce/Consumer131.68%282.43%282.23%
Media/Entertainment182.33%221.91%241.91%
Healthcare70.91%211.82%211.67%
Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
Software/SaaS35846.31%49843.27%53342.50%
AI/ML12215.78%20617.90%23118.42%
Other/Unknown9412.16%12610.95%14211.32%
Marketplace/Logistics9312.03%12010.43%1249.89%
Cybersecurity536.86%958.25%1078.53%

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
0 70 140 210 280 JdsportsSatispayDeelWppmediaThe Exploration CompanySpeechifyCfoinsightsIrcagroupJensenhughesPrivateequityinsights

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Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Jdsports28057.26%28048.28%28044.80%
Satispay81.64%274.66%447.04%
Deel81.64%233.97%274.32%
Wppmedia153.07%152.59%152.40%
The Exploration Company61.23%71.21%132.08%
Speechify91.84%122.07%121.92%
Cfoinsights102.04%101.72%101.60%
Jensenhughes102.04%101.72%101.60%
Privateequityinsights102.04%101.72%101.60%
Unitedmedia102.04%101.72%101.60%
Company30-day postings30-day share60-day postings60-day share90-day postings90-day share
Jdsports28057.26%28048.28%28044.80%
Satispay81.64%274.66%447.04%
Deel81.64%233.97%274.32%
Wppmedia153.07%152.59%152.40%
The Exploration Company61.23%71.21%132.08%

Showing first 5 of 10 rows.

Top industries in Italy (last 90 days)

90-day postings
0 72 145 217 289 E-commerce/ConsumerSoftware/SaaSAI/MLCybersecurityMarketplace/LogisticsMedia/EntertainmentFintechEducation

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Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
E-commerce/Consumer28157.46%28949.83%28946.24%
Software/SaaS6713.70%10217.59%12219.52%
AI/ML224.50%417.07%548.64%
Cybersecurity234.70%437.41%497.84%
Marketplace/Logistics316.34%335.69%335.28%
Other/Unknown295.93%305.17%335.28%
Media/Entertainment183.68%183.10%182.88%
Fintech81.64%91.55%111.76%
Industry30-day postings30-day share60-day postings60-day share90-day postings90-day share
E-commerce/Consumer28157.46%28949.83%28946.24%
Software/SaaS6713.70%10217.59%12219.52%
AI/ML224.50%417.07%548.64%
Cybersecurity234.70%437.41%497.84%
Marketplace/Logistics316.34%335.69%335.28%

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.

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Entry-Level vs Senior: Where the Market Actually Is (Last 90 Days)

#

A data-driven look at hiring levels by industry and geography—so you can target your job search.

Mar 6, 2026 · 1 min read · ATSRadar
#job market #seniority #hiring trends #data

Hiring volume alone does not tell you where to spend time. The better question is: what level mix is each market hiring for right now?

This report uses the latest ATSRadar snapshot to compare IC vs Manager vs Director vs VP/Head across industries and geographies.

Register Now, it's free

Key takeaways

  • 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):

  1. C-level
  2. VP / Head
  3. Director
  4. Manager
  5. Junior IC
  6. 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
77.1% 57.8% 38.5% 19.3% 0.0% Last 30dLast 90d

Static chart rendered server-side for reliable loading.

The 30-day bar is included for context so you can spot recent mix shifts.

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LevelJobs (last 90d)Share
Junior IC18,7825.20%
IC252,21769.86%
Manager68,86419.07%
Director12,6763.51%
VP / Head6,4011.77%
C-level2,1070.58%
LevelJobs (last 90d)Share
Junior IC18,7825.20%
IC252,21769.86%
Manager68,86419.07%
Director12,6763.51%
VP / Head6,4011.77%

Showing first 5 of 6 rows.

Chart B: Weekly trend of level mix

ICManagerDirectorVP/Head
79.5% 59.6% 39.8% 19.9% 0.0% 12-2201-1201-2602-1603-0203-23

Static chart rendered server-side for reliable loading.

Weekly points reduce day-to-day noise and make mix changes easier to read.

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Week start (UTC)Total jobsICManagerDirectorVP/Head
2025-12-221330.77%61.54%7.69%0.00%
2025-12-291,59968.17%24.70%2.88%4.25%
2026-01-056,60567.46%24.88%4.22%3.44%
2026-01-127,10967.51%25.02%3.49%3.98%
2026-01-197,61066.69%25.62%4.14%3.55%
2026-01-2610,05666.73%26.52%3.65%3.10%
2026-02-0212,33365.37%27.04%4.24%3.35%
2026-02-0913,97868.34%24.30%4.20%3.16%
2026-02-1617,21371.05%22.71%3.47%2.77%
2026-02-2323,33275.06%19.42%3.25%2.26%
2026-03-0227,80878.60%16.68%2.76%1.96%
2026-03-0920,12779.50%16.17%2.49%1.84%
2026-03-1621,00879.02%16.16%2.68%2.15%
2026-03-23192,25676.49%17.66%3.70%2.14%
Week start (UTC)Total jobsICManagerDirectorVP/Head
2025-12-221330.77%61.54%7.69%0.00%
2025-12-291,59968.17%24.70%2.88%4.25%
2026-01-056,60567.46%24.88%4.22%3.44%
2026-01-127,10967.51%25.02%3.49%3.98%
2026-01-197,61066.69%25.62%4.14%3.55%

Showing first 5 of 14 rows.

Chart C: Industries with highest junior/IC share

Junior/IC share
84.8% 63.6% 42.4% 21.2% 0.0% EducationAI/MLMarketplace...HealthcareGovernment/...Energy/ClimateCybersecuritySoftware/SaaSE-commerce/...Fintech

Static chart rendered server-side for reliable loading.

Only industries above 200 jobs are included to reduce noise.

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IndustryTotal jobsJunior/IC shareManagerDirectorVP/Head
Education7,53084.85%10.53%3.16%1.46%
AI/ML57,80281.54%13.83%2.21%2.42%
Marketplace/Logistics78,06979.53%15.27%2.91%2.29%
Healthcare31,73975.04%18.62%5.20%1.14%
Government/Nonprofit5,96574.23%18.93%4.56%2.28%
Energy/Climate2,57972.31%20.78%4.38%2.52%
Cybersecurity20,00571.41%21.63%4.54%2.41%
Software/SaaS98,88768.94%24.38%4.15%2.52%
E-commerce/Consumer7,53568.81%26.10%2.46%2.63%
Fintech23,44568.58%23.47%5.04%2.91%
IndustryTotal jobsJunior/IC shareManagerDirectorVP/Head
Education7,53084.85%10.53%3.16%1.46%
AI/ML57,80281.54%13.83%2.21%2.42%
Marketplace/Logistics78,06979.53%15.27%2.91%2.29%
Healthcare31,73975.04%18.62%5.20%1.14%
Government/Nonprofit5,96574.23%18.93%4.56%2.28%

Showing first 5 of 10 rows.

Chart D: Industries with highest Director/VP share

Director+VP share
8.0% 6.0% 4.0% 2.0% 0.0% FintechCybersecurityEnergy/ClimateGovernment/...Software/SaaSHealthcareMarketplace...E-commerce/...AI/MLEducation

Static chart rendered server-side for reliable loading.

This highlights where management and leadership roles are a larger part of hiring mix.

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IndustryTotal jobsDirector+VP shareICManagerDirectorVP/Head
Fintech23,4457.95%68.58%23.47%5.04%2.91%
Cybersecurity20,0056.96%71.41%21.63%4.54%2.41%
Energy/Climate2,5796.90%72.31%20.78%4.38%2.52%
Government/Nonprofit5,9656.84%74.23%18.93%4.56%2.28%
Software/SaaS98,8876.68%68.94%24.38%4.15%2.52%
Healthcare31,7396.34%75.04%18.62%5.20%1.14%
Marketplace/Logistics78,0695.20%79.53%15.27%2.91%2.29%
E-commerce/Consumer7,5355.08%68.81%26.10%2.46%2.63%
AI/ML57,8024.63%81.54%13.83%2.21%2.42%
Education7,5304.62%84.85%10.53%3.16%1.46%
IndustryTotal jobsDirector+VP shareICManagerDirectorVP/Head
Fintech23,4457.95%68.58%23.47%5.04%2.91%
Cybersecurity20,0056.96%71.41%21.63%4.54%2.41%
Energy/Climate2,5796.90%72.31%20.78%4.38%2.52%
Government/Nonprofit5,9656.84%74.23%18.93%4.56%2.28%
Software/SaaS98,8876.68%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
12.9% 9.7% 6.5% 3.2% 0.0% United KingdomSingaporeUnited StatesCanadaGermanySpainNetherlandsIndiaFranceNederland

Static chart rendered server-side for reliable loading.

Unknown country rows are excluded from rankings and tracked in data coverage below.

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CountryTotal jobsDirector+VP shareICManagerDirectorVP/Head
United Kingdom7,23612.92%62.34%24.74%6.34%6.58%
Singapore2,29010.31%64.50%25.20%6.99%3.32%
United States167,8057.21%71.09%21.69%4.53%2.68%
Canada3,7256.55%72.27%21.18%4.72%1.83%
Germany3,1615.73%67.13%27.14%3.51%2.21%
Spain1,9454.94%69.67%25.40%2.98%1.95%
Netherlands1,6574.22%73.57%22.21%2.05%2.17%
India5,5493.71%73.22%23.07%3.08%0.63%
France3,2642.94%83.21%13.85%1.78%1.16%
Nederland6,0462.18%93.55%4.27%0.15%2.03%
CountryTotal jobsDirector+VP shareICManagerDirectorVP/Head
United Kingdom7,23612.92%62.34%24.74%6.34%6.58%
Singapore2,29010.31%64.50%25.20%6.99%3.32%
United States167,8057.21%71.09%21.69%4.53%2.68%
Canada3,7256.55%72.27%21.18%4.72%1.83%
Germany3,1615.73%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
83.5% 62.7% 41.8% 20.9% 0.0% OhioMarylandPennsylvaniaVirginiaTexasArizonaGeorgiaFloridaNorth CarolinaColorado

Static chart rendered server-side for reliable loading.

State ranking uses U.S.-parsed rows only and applies the same minimum-volume threshold.

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StateTotal jobsIC shareManagerDirectorVP/Head
Ohio2,97283.55%13.39%2.25%0.81%
Maryland3,50882.18%14.62%2.08%1.11%
Pennsylvania3,21580.68%14.65%2.89%1.77%
Virginia4,32380.15%16.38%2.04%1.43%
Texas8,95879.24%16.69%2.68%1.40%
Arizona2,75379.11%17.44%2.69%0.76%
Georgia2,52178.86%16.22%3.13%1.79%
Florida4,79977.97%18.21%2.33%1.48%
North Carolina2,83077.88%16.82%3.43%1.87%
Colorado2,61774.02%20.48%3.71%1.80%
StateTotal jobsIC shareManagerDirectorVP/Head
Ohio2,97283.55%13.39%2.25%0.81%
Maryland3,50882.18%14.62%2.08%1.11%
Pennsylvania3,21580.68%14.65%2.89%1.77%
Virginia4,32380.15%16.38%2.04%1.43%
Texas8,95879.24%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.
  • Exclude noise: intern, junior, associate, individual contributor only.
  • 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%.

Track this automatically in your own alerts

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Where the Hiring Is: Top Cities & Regions by Net-New Roles (Last 30 Days)

#

Hiring hotspots vs cooling markets—ranked by net-new postings and normalized by company presence.

Mar 3, 2026 · 1 min read · ATSRadar
#hiring trends #job market #geography #data

What to do this month (remote/hybrid/relocation)

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
782 587 391 196 0 United StatesCA (hybrid)IndiaFL (hybrid)United KingdomCA (on-site)Hamburg (hy...VA (hybrid)Philippines...New York (h...

Static chart rendered server-side for reliable loading.

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CountryPostings (last 30d)Postings (prior 30d)DeltaDelta %
United States1405623+782+125.5%
CA (hybrid)15321+132+628.6%
India12029+91+313.8%
FL (hybrid)7520+55+275.0%
United Kingdom7622+54+245.4%
CA (on-site)465+41+820.0%
Hamburg (hybrid)439+34+377.8%
VA (hybrid)374+33+825.0%
Philippines (hybrid)345+29+580.0%
New York (hybrid)4115+26+173.3%
CountryPostings (last 30d)Postings (prior 30d)DeltaDelta %
United States1405623+782+125.5%
CA (hybrid)15321+132+628.6%
India12029+91+313.8%
FL (hybrid)7520+55+275.0%
United Kingdom7622+54+245.4%

Showing first 5 of 10 rows.

Chart B: Top metros by net-new postings per 10k companies

Postings per 10k companies
102,000 76,500 51,000 25,500 0 Hybrid - Sa...

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MetroPostings (last 30d)Postings (prior 30d)DeltaDelta %Active companies (180d)Postings per 10k companies
Hybrid - San Francisco, California (United States)512+49+2450.0%5102,000.0
MetroPostings (last 30d)Postings (prior 30d)DeltaDelta %Active companies (180d)Postings per 10k companies
Hybrid - San Francisco, California (United States)512+49+2450.0%5102,000.0

Chart C: Top metros by absolute net-new postings

Postings (last 30d)
51 38 26 13 0 Hybrid - Sa...

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MetroPostings (last 30d)Postings (prior 30d)DeltaDelta %
Hybrid - San Francisco, California (United States)512+49+2450.0%
MetroPostings (last 30d)Postings (prior 30d)DeltaDelta %
Hybrid - San Francisco, California (United States)512+49+2450.0%

Chart D: Hotspots vs cooling markets (delta vs prior 30d)

Delta postings
49 28 7 -15 -36 Hybrid - Sa...Los Angeles...San Carlos,...Hamburg, Ha...Hayward, Ca...Dubai, Main...Paris, Main...Foster City...

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MetroPostings (last 30d)Postings (prior 30d)DeltaDelta %
Hybrid - San Francisco, California (United States)512+49+2450.0%
Los Angeles, Los Angeles (CA (on-site))445+39+780.0%
San Carlos, California (United States)350+35+3500.0%
Hamburg, Hamburg (hybrid)439+34+377.8%
Hayward, California (United States)331+32+3200.0%
Foster City, W (F)1652-36-69.2%
Paris, Main Office (Main Office)831-23-74.2%
Dubai, Main Office (Main Office)1026-16-61.5%
MetroPostings (last 30d)Postings (prior 30d)DeltaDelta %
Hybrid - San Francisco, California (United States)512+49+2450.0%
Los Angeles, Los Angeles (CA (on-site))445+39+780.0%
San Carlos, California (United States)350+35+3500.0%
Hamburg, Hamburg (hybrid)439+34+377.8%
Hayward, California (United States)331+32+3200.0%

Showing first 5 of 8 rows.

Chart E: Total postings trend (last 60 days)

Total postings
164,152 123,114 82,076 41,038 0 01-2702-0802-2003-0403-1603-28

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Day (UTC)Postings
2026-01-27939
2026-01-281977
2026-01-292196
2026-01-301848
2026-01-31317
2026-02-01155
2026-02-022154
2026-02-032311
2026-02-042234
2026-02-052463
2026-02-062754
2026-02-07265
2026-02-08152
2026-02-092077
2026-02-102755
2026-02-112643
2026-02-123102
2026-02-132909
2026-02-14357
2026-02-15135
2026-02-161842
2026-02-172947
2026-02-183599
2026-02-194018
2026-02-203868
2026-02-21677
2026-02-22262
2026-02-234260
2026-02-244805
2026-02-253735
2026-02-263999
2026-02-273821
2026-02-281553
2026-03-011159
2026-03-026895
2026-03-033535
2026-03-044842
2026-03-054742
2026-03-066896
2026-03-07387
2026-03-08511
2026-03-096285
2026-03-102551
2026-03-112599
2026-03-122565
2026-03-133174
2026-03-14180
2026-03-152773
2026-03-162278
2026-03-172189
2026-03-183633
2026-03-194436
2026-03-205042
2026-03-213290
2026-03-22140
2026-03-238358
2026-03-243253
2026-03-251413
2026-03-26164152
2026-03-2715080
2026-03-280
Day (UTC)Postings
2026-01-27939
2026-01-281977
2026-01-292196
2026-01-301848
2026-01-31317

Showing first 5 of 61 rows.

Chart F: Top U.S. regions by normalized rate

Postings per 10k companies
37,387 28,041 18,694 9,347 0 California ...Pennsylvani...Massachuset...Texas (Unit...New York (U...

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RegionPostings (last 30d)Postings (prior 30d)DeltaDelta %Active companies (180d)Postings per 10k companies
California (United States)415133+282+212.0%11137,387.4
Pennsylvania (United States)5918+41+227.8%2821,071.4
Massachusetts (United States)8532+53+165.6%4120,731.7
Texas (United States)7031+39+125.8%5412,963.0
New York (United States)8939+50+128.2%7312,191.8
RegionPostings (last 30d)Postings (prior 30d)DeltaDelta %Active companies (180d)Postings per 10k companies
California (United States)415133+282+212.0%11137,387.4
Pennsylvania (United States)5918+41+227.8%2821,071.4
Massachusetts (United States)8532+53+165.6%4120,731.7
Texas (United States)7031+39+125.8%5412,963.0
New York (United States)8939+50+128.2%7312,191.8

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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CountryRemote-only postings (last 30d)
United States13041
United Kingdom643
Deutschland565
Canada524
India382
Poland338
Nederland276
Germany271
France238
Philippines222
CountryRemote-only postings (last 30d)
United States13041
United Kingdom643
Deutschland565
Canada524
India382

Showing first 5 of 10 rows.

If you're open to relocation/hybrid, focus on these 5 areas

  1. 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.
  2. 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.
  3. Manila, Manila (Philippines (hybrid)): 33 postings in the last 30 days, +29 vs prior window, and 330,000.0 postings per 10k active companies.
  4. Hayward, California (United States): 33 postings in the last 30 days, +32 vs prior window, and 165,000.0 postings per 10k active companies.
  5. 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%).

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Remote Jobs Reality Check (Last 30 Days)

#

Where remote work is actually showing up right now—by industry, seniority, and geography.

Feb 28, 2026 · 2 min read · ATSRadar
#remote #job market #data #hiring trends

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:

  1. Industry
  2. Seniority level
  3. Country and U.S. state
  4. 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
47.9% 35.9% 23.9% 12.0% 0.0% 02-2603-0403-1003-1603-2203-28

Static chart rendered server-side for reliable loading.

Show full table Hide table
Day (UTC)Total jobsRemote jobsRemote share
2026-02-26266731411.77%
2026-02-27382164516.88%
2026-02-281553976.25%
2026-03-011159605.18%
2026-03-0268956008.70%
2026-03-03353578822.29%
2026-03-04484261812.76%
2026-03-05474269014.55%
2026-03-06689671810.41%
2026-03-073877018.09%
2026-03-08511203.91%
2026-03-0962855198.26%
2026-03-10255144817.56%
2026-03-11259949619.08%
2026-03-12256551720.16%
2026-03-13317452116.41%
2026-03-141803921.67%
2026-03-152773481.73%
2026-03-16227839517.34%
2026-03-17218946221.11%
2026-03-18363368618.88%
2026-03-1944363988.97%
2026-03-20504264812.85%
2026-03-21329045113.71%
2026-03-221406747.86%
2026-03-238358132015.79%
2026-03-24325351415.80%
2026-03-25141340628.73%
2026-03-261641522356114.35%
2026-03-27150801771.17%
2026-03-28000.00%
Day (UTC)Total jobsRemote jobsRemote share
2026-02-26266731411.77%
2026-02-27382164516.88%
2026-02-281553976.25%
2026-03-011159605.18%
2026-03-0268956008.70%

Showing first 5 of 31 rows.

Chart B: Daily mode mix (remote vs hybrid vs onsite)

RemoteHybridOnsite
26,788 20,091 13,394 6,697 0 02-2603-0403-1003-1603-2203-28

Static chart rendered server-side for reliable loading.

Show full table Hide table
Day (UTC)RemoteHybridOnsiteUnknown mode
2026-02-263142282323
2026-02-2764563163097
2026-02-28974941403
2026-03-0160111097
2026-03-0260067446184
2026-03-03788128172602
2026-03-0461860184146
2026-03-0569078253949
2026-03-0671864416073
2026-03-077062309
2026-03-082011489
2026-03-0951940195707
2026-03-1044844282031
2026-03-1149627262050
2026-03-1251737121999
2026-03-1352125232605
2026-03-143944133
2026-03-154810122703
2026-03-1639519171847
2026-03-1746232171678
2026-03-1868661142872
2026-03-1939828273983
2026-03-2064845314318
2026-03-21451104192716
2026-03-22672071
2026-03-231320118616859
2026-03-2451449252665
2026-03-254061712978
2026-03-26235612512715137364
2026-03-27177243714842
2026-03-280000
Day (UTC)RemoteHybridOnsiteUnknown mode
2026-02-263142282323
2026-02-2764563163097
2026-02-28974941403
2026-03-0160111097
2026-03-0260067446184

Showing first 5 of 31 rows.

Chart C: Top countries by remote share

Remote share
18.6% 13.9% 9.3% 4.6% 0.0% CanadaBrazilDeutschlandUnited KingdomUnited StatesGermanyFranceIndiaSingaporeNederland

Static chart rendered server-side for reliable loading.

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CountryTotal jobsRemote jobsRemote shareChange vs prior 30d
United States1183031300811.00%-7.08 pp
Nederland60462764.57%+4.57 pp
United Kingdom576364311.16%-13.52 pp
Deutschland456556512.38%+12.38 pp
India44073828.67%-9.60 pp
Canada282452418.56%-18.45 pp
France25792389.23%-0.23 pp
Germany251427110.78%-2.23 pp
Singapore1649855.15%-1.93 pp
Brazil160321813.60%-14.10 pp
Spain155220112.95%-17.61 pp
Netherlands14951167.76%-5.88 pp
CountryTotal jobsRemote jobsRemote shareChange vs prior 30d
United States1183031300811.00%-7.08 pp
Nederland60462764.57%+4.57 pp
United Kingdom576364311.16%-13.52 pp
Deutschland456556512.38%+12.38 pp
India44073828.67%-9.60 pp

Showing first 5 of 12 rows.

Chart D: U.S. states by remote share (minimum 50 jobs)

Remote share
3.5% 2.6% 1.7% 0.9% 0.0% MarylandFloridaIllinoisTexasWashingtonMassachusettsVirginiaNew YorkCaliforniaPennsylvania

Static chart rendered server-side for reliable loading.

Show full table Hide table
US stateTotal jobsRemote jobsRemote shareChange vs prior 30d
California178692801.57%-3.39 pp
New York92501751.89%-4.97 pp
Texas67951662.44%-5.81 pp
Massachusetts4367992.27%-3.53 pp
Florida36901173.17%-6.90 pp
Virginia3244692.13%-1.49 pp
Illinois2973872.93%-6.98 pp
Washington2963682.29%-11.12 pp
Maryland2758963.48%-8.15 pp
Pennsylvania2443271.11%+0.14 pp
Ohio2240381.70%-2.37 pp
North Carolina2159532.45%-3.58 pp
US stateTotal jobsRemote jobsRemote shareChange vs prior 30d
California178692801.57%-3.39 pp
New York92501751.89%-4.97 pp
Texas67951662.44%-5.81 pp
Massachusetts4367992.27%-3.53 pp
Florida36901173.17%-6.90 pp

Showing first 5 of 12 rows.

Chart E: Industry remote density (top 10 by volume threshold)

Remote share
21.6% 16.2% 10.8% 5.4% 0.0% EducationFintechSoftware/SaaSCybersecurityOther/UnknownHealthcareGovernment/...AI/MLE-commerce/...Energy/Climate

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.

Show full table Hide table
IndustryTotal jobsRemote jobsRemote shareChange vs prior 30d
Education4987107921.64%-13.98 pp
Fintech18992402721.20%-1.82 pp
Software/SaaS727681523520.94%-5.56 pp
Cybersecurity11552200417.35%-10.96 pp
Other/Unknown19887284914.33%-19.97 pp
Healthcare21954280912.79%-1.98 pp
Government/Nonprofit367438510.48%-13.92 pp
AI/ML38958395210.14%-12.07 pp
E-commerce/Consumer58833916.65%-0.35 pp
Energy/Climate1676865.13%-2.67 pp
Marketplace/Logistics7006834764.96%-6.60 pp
IndustryTotal jobsRemote jobsRemote shareChange vs prior 30d
Education4987107921.64%-13.98 pp
Fintech18992402721.20%-1.82 pp
Software/SaaS727681523520.94%-5.56 pp
Cybersecurity11552200417.35%-10.96 pp
Other/Unknown19887284914.33%-19.97 pp

Showing first 5 of 11 rows.

Chart F: Job family remote share

Remote share
31.1% 23.3% 15.5% 7.8% 0.0% Customer Su...LegalProductDataMarketingFinanceDesignOperations/...EngineeringSales

Static chart rendered server-side for reliable loading.

Show full table Hide table
Job familyTotal jobsRemote jobsRemote shareChange vs prior 30d
Customer Success224769831.06%-19.52 pp
Legal3860108728.16%+1.21 pp
Product3726103927.89%-6.30 pp
Data5123125624.52%-10.06 pp
Marketing8469185121.86%-5.58 pp
Finance6500136220.95%-0.41 pp
Design5738114920.02%-4.48 pp
Operations/RevOps11576219618.97%-4.01 pp
Engineering38411717918.69%-9.61 pp
Sales20217377818.69%-9.68 pp
Security5588103518.52%-2.03 pp
HR/People282642815.15%-12.02 pp
Other156118132358.48%-6.59 pp
Job familyTotal jobsRemote jobsRemote shareChange vs prior 30d
Customer Success224769831.06%-19.52 pp
Legal3860108728.16%+1.21 pp
Product3726103927.89%-6.30 pp
Data5123125624.52%-10.06 pp
Marketing8469185121.86%-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:

  1. Prioritize industries with both high remote share and meaningful volume.
  2. Prioritize countries/states with high remote share for your target families.
  3. Target seniority bands that currently skew more remote.
  4. Keep one broad alert for volume and one narrow alert for precision.
  5. Refresh your alert filters weekly as remote concentration shifts.
  6. Use location filters like Remote, United States, and top-performing states from this report.
  7. Add family keywords to avoid irrelevant remote noise.
  8. 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.

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