The Job Openings Dataset from PredictLeads gives teams structured hiring data sourced from company career pages, job boards, and ATS systems. It helps sales, GTM, market intelligence, investment, recruiting, and data teams understand which companies are hiring, what roles they are prioritizing, where they are expanding, and how hiring changes over time.
Hiring activity often appears before public announcements. A new wave of engineering roles can reveal product investment. Sales hiring can show GTM expansion. Hiring in a new region can indicate market entry. That makes job openings data one of the clearest early signals of company growth.
Quick Answer: What Is a Job Openings Dataset?
A job openings dataset is a structured collection of current and historical job postings connected to company records. PredictLeads includes job title, description, URL, location, salary data when available, seniority, contract type, O*NET classification, job categories, first seen date, last seen date, active status, and company domain.
Related guides: best job data providers for labor market data, job openings data as a leading indicator of company growth, and how to use job openings data for sales prospecting.
Why Job Openings Data Matters
Job postings show what companies are doing right now. They reveal budget, operational priorities, team expansion, technology adoption, and market movement. Unlike static company profiles, job openings data changes as company priorities change.
- Sales teams use hiring signals to find companies that are investing and more likely to buy.
- Investors use job postings to track growth, expansion, and strategic shifts.
- Market intelligence teams use hiring data to monitor industry trends.
- Data products and AI agents use job data to enrich company records and trigger workflows.
What the PredictLeads Job Openings Dataset Includes
The dataset is designed to be used directly in APIs, data warehouses, CRM enrichment, lead scoring models, and analytics workflows. Fields can include:
- job title and full job description
- company domain and source URL
- location and remote status where available
- salary data when available
- seniority, contract type, and job category
- O*NET classification
- first seen, last seen, and active status
How the Job Openings Dataset Works
PredictLeads continuously scans company websites, career pages, ATS systems, and public job sources. The system extracts postings, normalizes fields, maps jobs to companies, classifies roles, and tracks when listings appear or disappear.
- Collect job postings from company and public sources.
- Normalize job records into consistent structured fields.
- Map postings to companies so job activity becomes company intelligence.
- Track changes over time to identify active jobs, removed jobs, and hiring trends.
Example Job Opening Record
{
"type": "job_opening",
"title": "AI Engineer",
"url": "https://example.com/jobs/ai-engineer",
"first_seen_at": "2026-05-01T10:15:00Z",
"last_seen_at": "2026-05-10T12:45:00Z",
"categories": ["engineering"],
"location": "London, United Kingdom",
"seniority": "non_manager",
"salary_data": {
"salary_low": 70000,
"salary_high": 120000,
"salary_currency": "USD"
},
"onet_data": {
"code": "15-1252.00",
"occupation_name": "Software Developers"
}
}Job Openings Dataset Use Cases
- Sales prospecting: find companies investing in teams that match your product.
- Predictive lead scoring: use hiring velocity as an intent and growth signal.
- Account-based marketing: personalize outreach around real hiring priorities.
- Market intelligence: track role demand, expansion, and sector movement.
- Investment research: monitor growth momentum across companies and sectors.
- AI agents and automation: trigger workflows when companies start hiring for relevant roles.
Why Job Data Quality Matters
Not all job postings data is equally useful. Job boards often contain duplicates, stale listings, and unclear company attribution. For company intelligence workflows, the most important factors are source quality, company matching, refresh frequency, historical tracking, and structured metadata.
PredictLeads focuses on making job openings data usable at the company level, so teams can connect hiring activity to growth, buying intent, technology adoption, and market movement.
Get Access to Job Openings Data
Explore the PredictLeads Job Openings Dataset in the documentation or request access through the PredictLeads website.
Job Openings Dataset documentation
PredictLeads Job Openings data