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April 2026 Data Report

We Analyzed 168,000+ Job Listings (April 2026). Here's Who's Actually Hiring.

Seeker tracks job listings from 18 sources — company career portals (Apple, Amazon, Kaiser Permanente), ATS platforms (Greenhouse, Ashby, Workday, SmartRecruiters), and aggregators (Himalayas, Adzuna, USAJobs, Jooble, Reed, TheMuse, FindWork, Remotive, Jobicy, Careerjet, JSearch). Here's what 168,000+ active listings told us about the market in April 2026.

Updated April 28, 2026 · Data from Seeker's live corpus · Refreshed weekly

168,000+

Active listings in corpus, April 2026

18

Data sources

14.9%

Include salary

20

Domains classified

Jobs analyzed: 168,146Sources: 14 feeds across ATS platforms, career pages, and aggregatorsSnapshot: April 28, 2026

Where the jobs actually are

To show category distribution, we classify a stratified sample of 30,000 active listings by domain. Each job can belong to multiple domains (a "Revenue Operations Analyst" tags to both sales and operations), so the percentages below represent domain share — how much of the classified sample each domain claims.

Engineering
~59,700
Operations
~36,000
Sales
~29,900
HR & People
~25,900
Finance
~17,000
Data & Analytics
~16,300
Healthcare
~11,600
Marketing
~10,100
Design
~8,900
Other 11 domains
~11,400
How to read this: Percentages are from a classified 30,000-job sample, extrapolated to the full April 2026 corpus of 168,000+. Because jobs can belong to multiple domains, percentages sum to more than 100%. The "Other 11 domains" row includes career general (2.8%), hardware (1.9%), iOS/mobile (1.9%), legal (0.8%), customer service (0.8%), product (0.7%), manufacturing, retail, hospitality, real estate, and education.

The takeaway: Operations (21.4%) is nearly two-thirds the size of engineering (35.5%) but gets a fraction of job-seeker attention. HR (15.4%) and finance (10.1%) are similarly underlooked. If you have organizational, process, or analytical skills, those three domains represent over 78,000 estimated roles in the corpus.

Only 14.9% of listings include salary

Despite pay transparency laws expanding across states, 85% of job listings in the corpus still don't include compensation. Salary coverage varies dramatically by source:

  • Workday-sourced listings have the best salary coverage — roughly half include ranges
  • Himalayas (10,155 listings) has moderate salary coverage — about 37% include ranges
  • Apple (3,416 listings), Amazon (4,598 listings), Greenhouse (4,322 listings), and Ashby (872 listings) include almost no salary data
  • Findwork (1,410 listings) includes zero salary information

Tip: if a listing doesn't include salary, check if the company has other listings in pay-transparency states (California, Colorado, New York, Washington). Those ranges often apply company-wide.

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Remote is 4.3% of the market — not 40%

This is one of the most surprising numbers in the data. Only 4.3% of active listings are explicitly remote-only. The post-pandemic narrative about remote work dominating the market is not reflected in current job postings.

Geographic concentration is also extreme. The top 5 metro areas account for 16.8% of listings:

  • SF Bay Area: 2,655 jobs (8.8%)
  • Seattle: 1,042 jobs (3.5%)
  • NYC: 620 jobs (2.1%)
  • Austin: 392 jobs (1.3%)
  • LA: 329 jobs (1.1%)

That means 83% of jobs are outside the top 5 metro hubs. If you're filtering for remote-only, your addressable market drops to ~7,200 roles. If you're only looking in SF or NYC, you're seeing less than 11% of the market.

The most in-demand skills across 168,000+ listings (April 2026)

When we extract skills from job descriptions, these appear most frequently across the full corpus:

Cross-functional collaboration6,297
Cloud computing6,937
Machine learning8,800
Security5,636
Platform engineering8,299
Analytics3,892
Infrastructure5,959
Compliance4,531
Software architecture4,204
Dashboards4,762
AWS3,789
CRM (Salesforce/HubSpot)4,900+

The average job description is 3,294 characters — substantial enough to contain real skill requirements. Longer descriptions correlate with more extractable skills and higher match quality. Single-paragraph listings are usually lower quality.

Top employers in the corpus

These companies have the most active listings in Seeker's corpus right now:

Amazon
4,598
Apple
3,416
Kaiser Permanente
2,371
Stripe
470
Cloudflare
406
Datadog
362
MongoDB
350
Okta
300
Toast
285
Walmart
247

The top 3 employers (Amazon, Apple, Kaiser) account for 10,385 listings — about 5% of the total corpus. The remaining 190,000+ jobs are spread across hundreds of employers. If you only search household names, you're competing in the most crowded slice of the market.

Other notable employers: Airbnb (224), Pinterest (160), Figma (160), Elastic (156), Vanta (144), Robinhood (129), Ramp (128), Lyft (126), Reddit (121), Asana (120).

The market moves fast: ~8,000 new jobs every week

The corpus adds roughly 8,000 new listings per week. Here's the age distribution:

  • ~8,200 added in the last 24 hours (4.9% of the corpus)
  • ~36,500 added in the last 7 days (21.7%)
  • ~103,000 added in the last 30 days (61.3%)
  • ~20,300 are older than 30 days (12.1%)
Percentages from a classified 30,000-job sample, extrapolated to the full corpus. Actual weekly inflow measured directly: 7,982 new listings in the last 7 days.

What this means: if you searched last week, thousands of new roles exist that you haven't seen. The job market is not static. Searching once a week on a single board leaves thousands of opportunities unseen.

What to do with this data

  1. 1

    Stop guessing which jobs fit you. Upload your resume and see which of today's 200,000+ live listings actually match your skills, experience level, and target market.

  2. 2

    Look beyond engineering. Operations, HR, and finance represent over 78,000 estimated roles. If you have transferable skills, your addressable market is larger than you think.

  3. 3

    Check your skill gaps. Seeker shows you the specific skills blocking your match score — not generic advice, but gaps derived from the roles you're actually competitive for.

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Methodology

Data from Seeker's live job corpus as of April 28, 2026. The corpus contains 168,146 active listings sourced from 14 feeds: company career portals (Apple, Amazon, Kaiser Permanente), ATS platforms (Greenhouse, Ashby, Workday, SmartRecruiters), and aggregators (Himalayas, TheMuse, Findwork, Jooble, Jobicy, Remotive, Arbeitnow). Domain classification uses automated skill extraction and domain mapping across 20 categories. Domain percentages are based on a stratified 30,000-job sample and extrapolated to the full corpus. Estimated role counts (shown as ~N) are calculated by applying sample percentages to the total active corpus size. Jobs can belong to multiple domains, so domain percentages sum to more than 100%. Salary, location, and freshness statistics are computed across the full corpus, not samples. All data is from active, non-expired listings refreshed weekly.