We Analyzed 160,000+ Live Job Listings. Here's Who's Actually Hiring.

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.

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.

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.

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.

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

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.

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

The top 3 employers (Amazon, Apple, Kaiser) account for 10,385 listings — about 5.6% of the total corpus. The remaining 175,000+ 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 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%)

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.

1. 1

   Stop guessing which jobs fit you. Upload your resume and see which of these 160,000+ 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.