Hiring Trends

Hiring Trends break down which departments a company is actively building — Sales, Engineering, Marketing, IT, and 20+ other functions.

We ingest 80M+ open roles across 21M+ companies and classify each position into one of 23 department categories using job title normalization. When a company crosses hiring thresholds for a specific function, we emit a signal with sample job titles, normalized titles, translated titles, posting URLs, and top hiring locations. A single company can produce multiple signals if they're hiring aggressively across several departments.

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See real delivered data → Sample Files

Subtypes represent the specific department a company is hiring for — use them to filter signals by the team being built.

Unlike Hiring Velocity which measures overall hiring pace relative to company size, Hiring Trends breaks down where a company is investing headcount by department.

Categories group subtypes into higher-level themes — a common way to filter signals by department function or sales motion.

Example Signal

What a single entry looks like in a delivered signal file:

{
  "signal_id": "7b2e4f91-c8a3-4d6e-b5f2-9a1c3d7e8f04",
  "batch_id": "2026-04-28-00-00-00",
  "signal_type": "hiring-trends",
  "signal_subtype": "hiringSalesRoles",
  "detected_at": "2026-04-22T11:18:44Z",
  "association": "company",
  "company": {
    "name": "Rippling",
    "domain": "rippling.com",                   // match on domain
    "linkedin_url": "linkedin.com/company/rippling",  // or match on LinkedIn URL
    "industries": ["Software Development", "Human Resources"],
    "employee_count_low": 3001,
    "employee_count_high": 5000,
    "description": "Workforce management platform for HR..."
  },
  "contact": [],
  "data": {
    "category": "Hiring Sales Roles",
    "open_roles_count": 53,
    "pct_of_headcount": 1.8,
    "signal_strength": "high",
    "sample_titles": [
      "Enterprise Account Executive, Mid-Market",
      "Senior Sales Engineer, Platform",
      "Regional VP of Sales, East Coast",
      "Strategic Account Director, Financial Services",
      "SDR Team Lead, Outbound"
    ],
    "sample_normalized_titles": [
      "Enterprise Account Executive",
      "Senior Sales Engineer",
      "Regional VP of Sales",
      "Strategic Account Director",
      "SDR Team Lead"
    ],
    "sample_translated_titles": [
      "Directeur de comptes entreprise, Marché intermédiaire",
      "Ingénieur commercial senior, Plateforme",
      "VP régional des ventes, Côte Est"
    ],
    "sample_urls": [
      "https://www.rippling.com/careers/sales/enterprise-ae-mid-market-7291034",
      "https://www.rippling.com/careers/sales/senior-sales-engineer-platform-7284511"
    ],
    "top_locations": [
      { "location": "San Francisco, California", "count": 18 },
      { "location": "New York, New York", "count": 14 },
      { "location": "Austin, Texas", "count": 9 },
      { "location": "London, United Kingdom", "count": 7 },
      { "location": "Remote, United States", "count": 5 }
    ]
  }
}

Field Reference

Standard envelope and entity fields are shared across all signals — see Schema and Resolution. The fields below are specific to this signal:

Signal-Specific Fields

The data object contains everything unique to this signal type — the intelligence extracted from job posting analysis.

Timing & Delivery

• detected_at is when the hiring threshold was crossed. Job postings are aggregated weekly, so this reflects the scan date rather than individual posting dates.
• One signal per subtype per company per week. A company hiring across Sales, Engineering, and Marketing will produce three separate signals, but won't fire the same department twice in the same weekly scan.
• Each delivery arrives in a timestamped folder. Treat all signals in a new folder as recent — no need to diff against prior deliveries.

Coverage

• Refresh: Weekly
• Coverage: 21,000,000+ companies globally
• Best for: SDR/BDR targeting, ABM prioritization, competitive intelligence, identifying companies scaling specific functions

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