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.

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Key takeaways

  • Across 521,819 postings in the last 90 days, the market mix is 76.61% IC, 17.84% Manager, 3.43% Director, and 2.12% VP/Head.
  • Senior leadership share (Director + VP/Head + C-level) is 5.55% (-0.06 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 Healthcare.
  • Geographically, senior-heavy demand clusters in United Kingdom, Singapore, and United States, while IC-heavy U.S. states include Michigan, Ohio, and Maryland.

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

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

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LevelJobs (last 90d)Share
Junior IC26,2565.03%
IC373,51071.58%
Manager93,08217.84%
Director17,9243.43%
VP / Head8,3731.60%
C-level2,6740.51%
LevelJobs (last 90d)Share
Junior IC26,2565.03%
IC373,51071.58%
Manager93,08217.84%
Director17,9243.43%
VP / Head8,3731.60%

Showing first 5 of 6 rows.

Chart B: Weekly trend of level mix

ICManagerDirectorVP/Head
81.3% 61.0% 40.7% 20.3% 0.0% 02-0903-0203-1604-0604-2005-11

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

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Week start (UTC)Total jobsICManagerDirectorVP/Head
2026-02-0910,21968.72%23.83%4.34%3.11%
2026-02-1616,64270.85%22.83%3.52%2.80%
2026-02-2322,35974.73%19.71%3.29%2.27%
2026-03-0224,94277.12%17.79%2.96%2.13%
2026-03-0918,43178.49%16.97%2.66%1.88%
2026-03-1618,23077.43%17.44%2.87%2.26%
2026-03-2331,78073.68%20.48%3.51%2.33%
2026-03-3039,67977.48%17.42%2.94%2.16%
2026-04-0626,15075.35%18.80%3.67%2.17%
2026-04-1350,24981.33%14.86%2.08%1.73%
2026-04-2028,47774.72%19.48%3.68%2.12%
2026-04-2758,79378.53%16.29%3.43%1.76%
2026-05-04161,48177.18%16.88%3.83%2.12%
2026-05-1114,38766.89%24.45%6.08%2.59%
Week start (UTC)Total jobsICManagerDirectorVP/Head
2026-02-0910,21968.72%23.83%4.34%3.11%
2026-02-1616,64270.85%22.83%3.52%2.80%
2026-02-2322,35974.73%19.71%3.29%2.27%
2026-03-0224,94277.12%17.79%2.96%2.13%
2026-03-0918,43178.49%16.97%2.66%1.88%

Showing first 5 of 14 rows.

Chart C: Industries with highest junior/IC share

Junior/IC share
87.5% 65.7% 43.8% 21.9% 0.0% EducationAI/MLMarketplace...HealthcareCybersecurityEnergy/ClimateGovernment/...FintechE-commerce/...Software/SaaS

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Only industries above 200 jobs are included to reduce noise.

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IndustryTotal jobsJunior/IC shareManagerDirectorVP/Head
Education11,69987.54%8.57%2.75%1.14%
AI/ML72,91882.24%13.20%2.21%2.35%
Marketplace/Logistics119,91580.13%14.93%2.80%2.14%
Healthcare45,39076.23%17.40%5.34%1.04%
Cybersecurity25,73675.18%18.60%4.33%1.89%
Energy/Climate3,46974.43%19.95%3.52%2.10%
Government/Nonprofit6,72673.27%19.22%5.38%2.13%
Fintech33,85870.15%22.21%4.91%2.72%
Software/SaaS128,52570.08%23.56%4.03%2.33%
E-commerce/Consumer10,82970.08%25.24%2.36%2.32%
IndustryTotal jobsJunior/IC shareManagerDirectorVP/Head
Education11,69987.54%8.57%2.75%1.14%
AI/ML72,91882.24%13.20%2.21%2.35%
Marketplace/Logistics119,91580.13%14.93%2.80%2.14%
Healthcare45,39076.23%17.40%5.34%1.04%
Cybersecurity25,73675.18%18.60%4.33%1.89%

Showing first 5 of 10 rows.

Chart D: Industries with highest Director/VP share

Director+VP share
7.6% 5.7% 3.8% 1.9% 0.0% FintechGovernment/...HealthcareSoftware/SaaSCybersecurityEnergy/ClimateMarketplace...E-commerce/...AI/MLEducation

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

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IndustryTotal jobsDirector+VP shareICManagerDirectorVP/Head
Fintech33,8587.63%70.15%22.21%4.91%2.72%
Government/Nonprofit6,7267.51%73.27%19.22%5.38%2.13%
Healthcare45,3906.37%76.23%17.40%5.34%1.04%
Software/SaaS128,5256.36%70.08%23.56%4.03%2.33%
Cybersecurity25,7366.22%75.18%18.60%4.33%1.89%
Energy/Climate3,4695.62%74.43%19.95%3.52%2.10%
Marketplace/Logistics119,9154.94%80.13%14.93%2.80%2.14%
E-commerce/Consumer10,8294.68%70.08%25.24%2.36%2.32%
AI/ML72,9184.55%82.24%13.20%2.21%2.35%
Education11,6993.89%87.54%8.57%2.75%1.14%
IndustryTotal jobsDirector+VP shareICManagerDirectorVP/Head
Fintech33,8587.63%70.15%22.21%4.91%2.72%
Government/Nonprofit6,7267.51%73.27%19.22%5.38%2.13%
Healthcare45,3906.37%76.23%17.40%5.34%1.04%
Software/SaaS128,5256.36%70.08%23.56%4.03%2.33%
Cybersecurity25,7366.22%75.18%18.60%4.33%1.89%

Showing first 5 of 10 rows.

Chart E: Countries ranked by Director/VP share

Director+VP share
11.6% 8.7% 5.8% 2.9% 0.0% United KingdomSingaporeUnited StatesGermanyCanadaSpainNetherlandsIndiaIrelandFrance

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

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CountryTotal jobsDirector+VP shareICManagerDirectorVP/Head
United Kingdom10,50911.62%63.13%25.25%6.15%5.47%
Singapore2,68310.40%64.63%24.97%6.90%3.50%
United States253,0296.67%73.41%19.92%4.33%2.34%
Germany3,9015.97%67.26%26.76%3.59%2.38%
Canada6,5075.90%74.50%19.59%3.95%1.95%
Spain2,5664.83%70.46%24.71%2.92%1.91%
Netherlands2,2084.57%72.92%22.51%2.45%2.13%
India7,6633.69%73.61%22.69%3.07%0.63%
Ireland1,7792.87%72.01%25.13%1.97%0.90%
France4,3592.78%84.72%12.50%1.49%1.28%
CountryTotal jobsDirector+VP shareICManagerDirectorVP/Head
United Kingdom10,50911.62%63.13%25.25%6.15%5.47%
Singapore2,68310.40%64.63%24.97%6.90%3.50%
United States253,0296.67%73.41%19.92%4.33%2.34%
Germany3,9015.97%67.26%26.76%3.59%2.38%
Canada6,5075.90%74.50%19.59%3.95%1.95%

Showing first 5 of 10 rows.

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

IC share
89.7% 67.2% 44.8% 22.4% 0.0% MichiganOhioMarylandVirginiaArizonaPennsylvaniaTexasGeorgiaNorth CarolinaFlorida

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

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StateTotal jobsIC shareManagerDirectorVP/Head
Michigan4,67589.65%8.47%1.13%0.75%
Ohio5,21683.99%13.08%2.30%0.63%
Maryland5,04783.83%13.30%1.82%1.05%
Virginia7,26981.81%14.86%2.02%1.31%
Arizona4,48681.68%14.87%2.43%1.03%
Pennsylvania5,50981.63%14.58%2.50%1.29%
Texas15,10980.66%15.63%2.40%1.31%
Georgia4,35580.00%15.71%2.87%1.42%
North Carolina4,87479.42%15.63%3.30%1.64%
Florida8,21078.39%18.03%2.12%1.46%
StateTotal jobsIC shareManagerDirectorVP/Head
Michigan4,67589.65%8.47%1.13%0.75%
Ohio5,21683.99%13.08%2.30%0.63%
Maryland5,04783.83%13.30%1.82%1.05%
Virginia7,26981.81%14.86%2.02%1.31%
Arizona4,48681.68%14.87%2.43%1.03%

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 Michigan, Ohio, 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, Healthcare, and Software/SaaS and geos like United Kingdom, Singapore, United States, and Germany.

  • 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 2026-05-11T08:12:47.822Z (UTC).

Date coverage: postedAt present 27.75%; scannedAt fallback 72.25%.

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 81.27%, parsed U.S. state 75.09%, known industry 87.97%, explicit level signal 28.42%.

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