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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 375,110 postings in the last 90 days, the market mix is 75.28% IC, 18.89% Manager, 3.49% Director, and 2.33% VP/Head.
  • Senior leadership share (Director + VP/Head + C-level) is 5.83% (+0.34 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, Government/Nonprofit, and Cybersecurity.
  • 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
77.3% 58.0% 38.7% 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 IC19,3615.16%
IC263,03870.12%
Manager70,86018.89%
Director13,1053.49%
VP / Head6,5921.76%
C-level2,1540.57%
LevelJobs (last 90d)Share
Junior IC19,3615.16%
IC263,03870.12%
Manager70,86018.89%
Director13,1053.49%
VP / Head6,5921.76%

Showing first 5 of 6 rows.

Chart B: Weekly trend of level mix

ICManagerDirectorVP/Head
90.0% 67.5% 45.0% 22.5% 0.0% 12-2901-1902-0202-2303-0903-30

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
2025-12-2990170.26%22.31%2.55%4.88%
2026-01-056,59467.46%24.84%4.23%3.47%
2026-01-127,10867.53%25.01%3.47%3.98%
2026-01-197,60666.68%25.64%4.13%3.55%
2026-01-2610,04366.74%26.50%3.65%3.11%
2026-02-0212,31465.38%27.03%4.23%3.35%
2026-02-0913,95768.37%24.29%4.18%3.17%
2026-02-1617,15170.99%22.76%3.48%2.78%
2026-02-2323,28375.06%19.43%3.25%2.25%
2026-03-0227,72278.61%16.66%2.77%1.96%
2026-03-0920,05979.54%16.14%2.48%1.84%
2026-03-1620,86579.04%16.12%2.69%2.15%
2026-03-23196,91176.03%18.02%3.77%2.18%
2026-03-3010,59690.03%7.44%1.64%0.89%
Week start (UTC)Total jobsICManagerDirectorVP/Head
2025-12-2990170.26%22.31%2.55%4.88%
2026-01-056,59467.46%24.84%4.23%3.47%
2026-01-127,10867.53%25.01%3.47%3.98%
2026-01-197,60666.68%25.64%4.13%3.55%
2026-01-2610,04366.74%26.50%3.65%3.11%

Showing first 5 of 14 rows.

Chart C: Industries with highest junior/IC share

Junior/IC share
85.0% 63.8% 42.5% 21.3% 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
Education7,84085.05%10.46%3.07%1.42%
AI/ML58,95581.59%13.80%2.22%2.40%
Marketplace/Logistics79,57279.46%15.32%2.92%2.30%
Healthcare33,23975.81%17.93%5.13%1.13%
Government/Nonprofit6,02074.00%18.92%4.73%2.34%
Energy/Climate2,61372.18%21.01%4.32%2.49%
Cybersecurity20,46671.61%21.49%4.51%2.39%
Software/SaaS101,49269.12%24.24%4.14%2.50%
E-commerce/Consumer7,72168.89%26.03%2.47%2.60%
Fintech24,18568.86%23.25%5.02%2.88%
IndustryTotal jobsJunior/IC shareManagerDirectorVP/Head
Education7,84085.05%10.46%3.07%1.42%
AI/ML58,95581.59%13.80%2.22%2.40%
Marketplace/Logistics79,57279.46%15.32%2.92%2.30%
Healthcare33,23975.81%17.93%5.13%1.13%
Government/Nonprofit6,02074.00%18.92%4.73%2.34%

Showing first 5 of 10 rows.

Chart D: Industries with highest Director/VP share

Director+VP share
7.9% 5.9% 4.0% 2.0% 0.0% FintechGovernment/...CybersecurityEnergy/ClimateSoftware/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
Fintech24,1857.90%68.86%23.25%5.02%2.88%
Government/Nonprofit6,0207.08%74.00%18.92%4.73%2.34%
Cybersecurity20,4666.90%71.61%21.49%4.51%2.39%
Energy/Climate2,6136.81%72.18%21.01%4.32%2.49%
Software/SaaS101,4926.64%69.12%24.24%4.14%2.50%
Healthcare33,2396.26%75.81%17.93%5.13%1.13%
Marketplace/Logistics79,5725.22%79.46%15.32%2.92%2.30%
E-commerce/Consumer7,7215.08%68.89%26.03%2.47%2.60%
AI/ML58,9554.62%81.59%13.80%2.22%2.40%
Education7,8404.49%85.05%10.46%3.07%1.42%
IndustryTotal jobsDirector+VP shareICManagerDirectorVP/Head
Fintech24,1857.90%68.86%23.25%5.02%2.88%
Government/Nonprofit6,0207.08%74.00%18.92%4.73%2.34%
Cybersecurity20,4666.90%71.61%21.49%4.51%2.39%
Energy/Climate2,6136.81%72.18%21.01%4.32%2.49%
Software/SaaS101,4926.64%69.12%24.24%4.14%2.50%

Showing first 5 of 10 rows.

Chart E: Countries ranked by Director/VP share

Director+VP share
12.8% 9.6% 6.4% 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 Kingdom7,39012.81%62.42%24.76%6.29%6.52%
Singapore2,30110.34%64.45%25.21%7.04%3.30%
United States176,5707.11%71.57%21.32%4.48%2.63%
Canada3,8736.69%72.24%21.07%4.78%1.91%
Germany3,2225.71%67.16%27.13%3.45%2.27%
Spain1,9734.82%69.89%25.29%2.89%1.93%
Netherlands1,6904.14%73.55%22.31%2.01%2.13%
India5,7343.68%73.21%23.11%3.07%0.61%
France3,2983.00%83.08%13.92%1.82%1.18%
Nederland6,0462.18%93.55%4.27%0.15%2.03%
CountryTotal jobsDirector+VP shareICManagerDirectorVP/Head
United Kingdom7,39012.81%62.42%24.76%6.29%6.52%
Singapore2,30110.34%64.45%25.21%7.04%3.30%
United States176,5707.11%71.57%21.32%4.48%2.63%
Canada3,8736.69%72.24%21.07%4.78%1.91%
Germany3,2225.71%67.16%27.13%3.45%2.27%

Showing first 5 of 10 rows.

Chart F: U.S. states ranked by IC share

IC share
83.8% 62.8% 41.9% 20.9% 0.0% OhioMarylandPennsylvaniaVirginiaTexasGeorgiaArizonaFloridaNorth 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
Ohio3,09083.75%13.20%2.27%0.78%
Maryland3,60982.41%14.35%2.16%1.08%
Pennsylvania3,38881.02%14.43%2.83%1.71%
Virginia4,58080.90%15.61%1.97%1.53%
Texas9,58079.61%16.41%2.63%1.35%
Georgia2,65679.44%15.81%3.05%1.69%
Arizona2,91879.30%17.37%2.60%0.72%
Florida5,02177.93%18.30%2.31%1.45%
North Carolina2,96077.87%16.86%3.41%1.86%
Colorado2,73874.43%19.98%3.76%1.83%
StateTotal jobsIC shareManagerDirectorVP/Head
Ohio3,09083.75%13.20%2.27%0.78%
Maryland3,60982.41%14.35%2.16%1.08%
Pennsylvania3,38881.02%14.43%2.83%1.71%
Virginia4,58080.90%15.61%1.97%1.53%
Texas9,58079.61%16.41%2.63%1.35%

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, Government/Nonprofit, Cybersecurity, and Energy/Climate 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 2026-03-30T09:56:31.449Z (UTC).

Date coverage: postedAt present 41.55%; scannedAt fallback 58.45%.

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 83.50%, parsed U.S. state 70.72%, known industry 91.20%, explicit level signal 29.88%.

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): 277,348 vs 68,922 in the prior window (+208,426).
  • Top country by net-new postings: United States (+784 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) (-32 vs prior 30 days).

Data coverage

Parsed country coverage: 80.12% (222,207 of 277,348 postings).

Parsed city coverage: 71.39% (198,011 of 277,348 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
784 588 392 196 0 United StatesCA (hybrid)IndiaFL (hybrid)United KingdomCA (on-site)Hamburg (hy...Philippines...San FranciscoNew York (h...

Static chart rendered server-side for reliable loading.

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CountryPostings (last 30d)Postings (prior 30d)DeltaDelta %
United States1395611+784+128.3%
CA (hybrid)15030+120+400.0%
India12029+91+313.8%
FL (hybrid)7520+55+275.0%
United Kingdom7323+50+217.4%
CA (on-site)465+41+820.0%
Hamburg (hybrid)439+34+377.8%
Philippines (hybrid)352+33+1650.0%
San Francisco314+27+675.0%
New York (hybrid)4216+26+162.5%
CountryPostings (last 30d)Postings (prior 30d)DeltaDelta %
United States1395611+784+128.3%
CA (hybrid)15030+120+400.0%
India12029+91+313.8%
FL (hybrid)7520+55+275.0%
United Kingdom7323+50+217.4%

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...

Static chart rendered server-side for reliable loading.

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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 29 9 -12 -32 Hybrid - Sa...Los Angeles...San Carlos,...Hamburg, Ha...San Francis...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%
San Francisco, San Francisco (CA (hybrid))4512+33+275.0%
Foster City, W (F)1547-32-68.1%
Paris, Main Office (Main Office)828-20-71.4%
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%
San Francisco, San Francisco (CA (hybrid))4512+33+275.0%

Showing first 5 of 8 rows.

Chart E: Total postings trend (last 60 days)

Total postings
88,711 66,533 44,356 22,178 0 01-2902-1002-2203-0603-1803-30

Static chart rendered server-side for reliable loading.

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Day (UTC)Postings
2026-01-291097
2026-01-301844
2026-01-31317
2026-02-01154
2026-02-022154
2026-02-032309
2026-02-042228
2026-02-052457
2026-02-062749
2026-02-07265
2026-02-08152
2026-02-092075
2026-02-102751
2026-02-112639
2026-02-123099
2026-02-132902
2026-02-14356
2026-02-15135
2026-02-161841
2026-02-172935
2026-02-183591
2026-02-193991
2026-02-203855
2026-02-21676
2026-02-22262
2026-02-234253
2026-02-244797
2026-02-253722
2026-02-263989
2026-02-273814
2026-02-281552
2026-03-011156
2026-03-026871
2026-03-033517
2026-03-044827
2026-03-054722
2026-03-066887
2026-03-07387
2026-03-08511
2026-03-096279
2026-03-102544
2026-03-112583
2026-03-122544
2026-03-133164
2026-03-14180
2026-03-152765
2026-03-162268
2026-03-172176
2026-03-183615
2026-03-194430
2026-03-205021
2026-03-213216
2026-03-22139
2026-03-238271
2026-03-243209
2026-03-251412
2026-03-2653861
2026-03-276848
2026-03-2888711
2026-03-2934599
2026-03-3010596
Day (UTC)Postings
2026-01-291097
2026-01-301844
2026-01-31317
2026-02-01154
2026-02-022154

Showing first 5 of 61 rows.

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

Postings per 10k companies
36,754 27,566 18,377 9,189 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)419145+274+189.0%11436,754.4
Pennsylvania (United States)5818+40+222.2%2820,714.3
Massachusetts (United States)8131+50+161.3%4119,756.1
Texas (United States)6825+43+172.0%5412,592.6
New York (United States)9137+54+145.9%7512,133.3
RegionPostings (last 30d)Postings (prior 30d)DeltaDelta %Active companies (180d)Postings per 10k companies
California (United States)419145+274+189.0%11436,754.4
Pennsylvania (United States)5818+40+222.2%2820,714.3
Massachusetts (United States)8131+50+161.3%4119,756.1
Texas (United States)6825+43+172.0%5412,592.6
New York (United States)9137+54+145.9%7512,133.3

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 States13159
United Kingdom648
Deutschland565
Canada538
India392
Poland340
Nederland276
Germany270
France238
Brazil223
CountryRemote-only postings (last 30d)
United States13159
United Kingdom648
Deutschland565
Canada538
India392

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)): 34 postings in the last 30 days, +32 vs prior window, and 340,000.0 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: 2026-02-28 to 2026-03-30 (UTC).

Prior window: 2026-01-29 to 2026-02-28 (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: 216,789 jobs (78.16%) used scannedAt fallback when postedAt was missing.

Coverage: parsed country 80.12%; parsed city 71.39%.

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: 237,358 (85.58%).

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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: 13.25% (36739 remote jobs out of 277348).
  • Change vs prior 30-day window: -8.54 pp.
  • Highest-density industry above the volume threshold (50 jobs): Fintech at 21.06%.
  • Most remote-heavy job family this month: Customer Success at 31.01%.
  • Largest geography bucket by total jobs: United States with 122941 jobs.

Data breakdown

How remote changed this month

Daily remote share ranged from 0.77% (2026-03-30) to 48.20% (2026-03-22). This helps separate temporary daily dips from sustained shifts.

Chart A: Daily remote share (%)

Remote share
48.2% 36.2% 24.1% 12.0% 0.0% 02-2803-0603-1203-1803-2403-30

Static chart rendered server-side for reliable loading.

Show full table Hide table
Day (UTC)Total jobsRemote jobsRemote share
2026-02-2839512.82%
2026-03-011156605.19%
2026-03-0268715888.56%
2026-03-03351778422.29%
2026-03-04482761612.76%
2026-03-05472268214.44%
2026-03-06688771810.43%
2026-03-073877018.09%
2026-03-08511203.91%
2026-03-0962795188.25%
2026-03-10254444517.49%
2026-03-11258349419.13%
2026-03-12254451120.09%
2026-03-13316451816.37%
2026-03-141803921.67%
2026-03-152765481.74%
2026-03-16226839417.37%
2026-03-17217646021.14%
2026-03-18361568218.87%
2026-03-1944303978.96%
2026-03-20502164212.79%
2026-03-21321644113.71%
2026-03-221396748.20%
2026-03-238271128515.54%
2026-03-24320950415.71%
2026-03-25141240028.33%
2026-03-2653861911516.92%
2026-03-2768482463.59%
2026-03-28887111243614.02%
2026-03-2934599347210.03%
2026-03-3010596820.77%
Day (UTC)Total jobsRemote jobsRemote share
2026-02-2839512.82%
2026-03-011156605.19%
2026-03-0268715888.56%
2026-03-03351778422.29%
2026-03-04482761612.76%

Showing first 5 of 31 rows.

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

RemoteHybridOnsite
14,371 10,778 7,186 3,593 0 02-2803-0603-1203-1803-2403-30

Static chart rendered server-side for reliable loading.

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Day (UTC)RemoteHybridOnsiteUnknown mode
2026-02-2850034
2026-03-0160111094
2026-03-0258866446173
2026-03-03784128172588
2026-03-0461660184133
2026-03-0568278253937
2026-03-0671864416064
2026-03-077062309
2026-03-082011489
2026-03-0951840195702
2026-03-1044544282027
2026-03-1149427262036
2026-03-1251137121984
2026-03-1351825232598
2026-03-143944133
2026-03-154810122695
2026-03-1639419171838
2026-03-1746032171667
2026-03-1868260142859
2026-03-1939728273978
2026-03-2064245314303
2026-03-21441104192652
2026-03-22672070
2026-03-231285118616807
2026-03-2450448242633
2026-03-254001812982
2026-03-26911559828943859
2026-03-2724623116568
2026-03-2812436167526074340
2026-03-29347233220630589
2026-03-3082122910473
Day (UTC)RemoteHybridOnsiteUnknown mode
2026-02-2850034
2026-03-0160111094
2026-03-0258866446173
2026-03-03784128172588
2026-03-0461660184133

Showing first 5 of 31 rows.

Chart C: Top countries by remote share

Remote share
18.6% 14.0% 9.3% 4.7% 0.0% CanadaBrazilDeutschlandUnited KingdomGermanyUnited StatesFranceIndiaSingaporeNederland

Static chart rendered server-side for reliable loading.

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CountryTotal jobsRemote jobsRemote shareChange vs prior 30d
United States1229411312610.68%-6.47 pp
Nederland60462764.57%+4.57 pp
United Kingdom575564811.26%-11.32 pp
Deutschland456556512.38%+12.38 pp
India44683928.77%-7.03 pp
Canada289153818.61%-16.31 pp
France25722389.25%-0.86 pp
Germany251827010.72%-2.03 pp
Singapore1624865.30%-1.88 pp
Brazil159222314.01%-9.48 pp
Spain152220313.34%-12.62 pp
Netherlands15151157.59%-5.74 pp
CountryTotal jobsRemote jobsRemote shareChange vs prior 30d
United States1229411312610.68%-6.47 pp
Nederland60462764.57%+4.57 pp
United Kingdom575564811.26%-11.32 pp
Deutschland456556512.38%+12.38 pp
India44683928.77%-7.03 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% MarylandFloridaIllinoisTexasWashingtonMassachusettsNew YorkVirginiaCaliforniaPennsylvania

Static chart rendered server-side for reliable loading.

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US stateTotal jobsRemote jobsRemote shareChange vs prior 30d
California184132631.43%-3.42 pp
New York98431891.92%-4.83 pp
Texas72311612.23%-5.48 pp
Massachusetts4483912.03%-4.01 pp
Florida38381102.87%-7.42 pp
Virginia3414651.90%-1.78 pp
Illinois3124812.59%-7.46 pp
Washington3064642.09%-8.86 pp
Maryland2784963.45%-7.65 pp
Pennsylvania2567271.05%+0.12 pp
Ohio2300371.61%-2.22 pp
North Carolina2217492.21%-3.61 pp
US stateTotal jobsRemote jobsRemote shareChange vs prior 30d
California184132631.43%-3.42 pp
New York98431891.92%-4.83 pp
Texas72311612.23%-5.48 pp
Massachusetts4483912.03%-4.01 pp
Florida38381102.87%-7.42 pp

Showing first 5 of 12 rows.

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

Remote share
21.1% 15.8% 10.5% 5.3% 0.0% FintechSoftware/SaaSEducationCybersecurityOther/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
Fintech19287406121.06%-0.40 pp
Software/SaaS728001532621.05%-3.54 pp
Education5145106320.66%-14.33 pp
Cybersecurity11683199017.03%-10.92 pp
Other/Unknown25223321212.73%-22.09 pp
Healthcare22409280012.49%-1.29 pp
Government/Nonprofit350837610.72%-11.49 pp
AI/ML3929439269.99%-11.77 pp
E-commerce/Consumer59993906.50%-1.06 pp
Energy/Climate1603905.61%-0.86 pp
Marketplace/Logistics7039735054.98%-5.83 pp
IndustryTotal jobsRemote jobsRemote shareChange vs prior 30d
Fintech19287406121.06%-0.40 pp
Software/SaaS728001532621.05%-3.54 pp
Education5145106320.66%-14.33 pp
Cybersecurity11683199017.03%-10.92 pp
Other/Unknown25223321212.73%-22.09 pp

Showing first 5 of 11 rows.

Chart F: Job family remote share

Remote share
31.0% 23.3% 15.5% 7.8% 0.0% Customer Su...LegalProductDataMarketingFinanceDesignEngineeringOperations/...Sales

Static chart rendered server-side for reliable loading.

Show full table Hide table
Job familyTotal jobsRemote jobsRemote shareChange vs prior 30d
Customer Success230971631.01%-19.67 pp
Legal3874107927.85%+0.24 pp
Product3778104127.55%-5.97 pp
Data5183127624.62%-9.82 pp
Marketing8291184922.30%-4.01 pp
Finance6510136921.03%-0.32 pp
Design5754115220.02%-3.97 pp
Engineering38254722818.89%-7.36 pp
Operations/RevOps11599218118.80%-3.89 pp
Sales20466381618.65%-8.92 pp
Security5380100018.59%-1.11 pp
HR/People284841014.40%-13.54 pp
Other163102136228.35%-5.58 pp
Job familyTotal jobsRemote jobsRemote shareChange vs prior 30d
Customer Success230971631.01%-19.67 pp
Legal3874107927.85%+0.24 pp
Product3778104127.55%-5.97 pp
Data5183127624.62%-9.82 pp
Marketing8291184922.30%-4.01 pp

Showing first 5 of 13 rows.

Unknown geography bucket: 55141 jobs (19.88%). Unknown/Unparsed U.S. state bucket: 30110 jobs (24.49% 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 2026-03-30T09:56:31.453Z (UTC).

Job date logic: Jobs are included when postedAt is in the window. If postedAt is missing, scannedAt is used as fallback.

Fallback impact: 216789 jobs (78.16%) 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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