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Workforce Intelligence

Hiring Trend Signals

29 department-level hiring subtypes across 21M+ companies, built from 80M+ open roles. See which teams a company is building, with sample job titles and top hiring locations, refreshed weekly.

21M+

Companies Covered

23

Departments Tracked

Weekly

Refresh Cadence

30/60/90 days

Velocity Windows

Workforce Intelligence23 departments subtypes · Weekly refresh

What Are Hiring Trend Signals?

Hiring trend signals identify which departments a company is actively building. Autobound classifies 80M+ open roles across 21M+ companies into department categories using job title normalization, and emits one of 29 subtypes, from hiringEngineeringRoles to hiringLegalRoles, when a company crosses a hiring threshold for that function. A company hiring aggressively across several departments produces multiple signals at once.

Each signal includes the open role count, open roles as a percentage of current headcount, a high/medium/low signal strength, up to 5 sample job titles, links to the actual postings, and the top hiring locations. Data refreshes weekly, so a spike in finance and legal hiring ahead of an IPO shows up within days.

Example Signal Subtypes

hiringEngineeringRoleshiringSalesRoleshiringMarketingRoleshiringCustomerServicesRoleshiringFinanceRoleshiringLegalRoleshiringOperationsRoleshiringHumanResourcesRoleshiringProductionOrManufacturingRoleshiringMachineLearningRoleshiringInformationTechnologyRoleshiringRecruitingRoles

Data Schema

Hiring Trend Signal Schema

Hiring signals include department-level breakdowns, sample job titles, posting locations, and velocity metrics across rolling time windows.

hiring_trends.schema.json
{
  "signal_id": "7f3c9a12-58be-4e02-9d41-c6a02f18e774",
  "signal_type": "hiring-trends",
  "signal_subtype": "hiringEngineeringRoles",
  "signal_name": "Stripe hiring 127 Engineering Roles",
  "detected_at": "2026-07-14T08: 00: 12Z",
  "association": "company",
  "company": {
    "name": "Stripe",
    "domain": "stripe.com",  // match on domain
    "linkedin_url": "linkedin.com/company/stripe",  // or match on LinkedIn URL
    "industries": ["Financial Services", "Payments"],
    "employee_count_low": 8000,
    "employee_count_high": 10000,
    "description": "Global payments infrastructure for the internet..."
  },
  "data": {
    "category": "Hiring Engineering Roles",
    "open_roles_count": 127,
    "pct_of_headcount": 1.4,
    "signal_strength": "high",
    "sample_titles": [
      "Senior ML Engineer, Payments Intelligence",
      "Staff Platform Engineer",
      "Engineering Manager, Billing",
      "Backend Engineer, Financial Infrastructure"
    ],
    "sample_urls": [
      "https://stripe.com/jobs/listing/senior-ml-engineer/6247193",
      "https://stripe.com/jobs/listing/staff-platform-engineer/6251082"
    ],
    "top_locations": [
      { "location": "San Francisco, California", "count": 48 },
      { "location": "New York, New York", "count": 31 },
      { "location": "Remote, United States", "count": 26 }
    ]
  }
}
GCS Bucket
gs://autobound-hiring-trends/
Formats
JSONL · Parquet
Refresh
Weekly

Applications

What teams build with Hiring Trend Signals

05 documented applications

  1. 01

    Account Prioritization by Growth Signal

    Companies actively hiring in departments relevant to your product are investing in those capabilities. Engineering hiring signals opportunity for dev tools; sales hiring signals growth mode.

  2. 02

    Persona Targeting by Department

    When a company hires 20 new sales reps, they need sales enablement tools, CRM licenses, and training platforms. Match your product's buyer persona to the hiring department.

  3. 03

    New Market Entry Detection

    Hiring in new geographic locations often indicates market expansion. Companies posting roles in APAC for the first time signal international growth initiatives.

  4. 04

    Talent Acquisition Vendors

    Recruiting platforms and staffing agencies can identify companies with the highest hiring volume and velocity, targeting those with the most urgent talent needs.

  5. 05

    IPO and Compliance Readiness

    Spikes in finance, legal, and compliance hiring often precede IPO preparations, regulatory responses, or audit requirements. These signals are valuable for professional services firms.

Measured, Not Estimated

What's actually inside Hiring Trend Signals

Volumes, subtypes, geography, and join-key fill rates audited directly from our production database, so you can verify coverage before you buy.

Measured coverageaudited from production · minimums, not ceilings
205,821
companies with fresh data / month
basis: 30-day window
536,020
records created / month
basis: 90-day window /3

Top subtypes

29 total
Engineering712K · 17%
Sales587K · 14%
Operations278K · 6.8%
Administration275K · 6.7%
Marketing268K · 6.6%
Accounting258K · 6.3%
Customer Services208K · 5.1%
Production Or Manufacturing174K · 4.3%
🇺🇸United States103K · 17%
🇮🇳India32K · 5.3%
🇬🇧United Kingdom32K · 5.2%
🇩🇪Germany22K · 3.7%
🇨🇦Canada19K · 3.1%
🇦🇺Australia12K · 2.0%
🇳🇱Netherlands12K · 1.9%
CA 34KNY 19KTX 18KFL 14KIL 9.8KPA 8.3K

Top industries

all industries
IT Services and IT Consulting13K · 2.2%
Hospitals and Health Care12K · 1.9%
Software Development11K · 1.8%
Building Construction11K · 1.8%
Financial Services9.2K · 1.5%
Retail8.9K · 1.4%
Leasing Real Estate8.1K · 1.3%

Join keys

fill rate
Domain100%
LinkedIn URL79%
Company name100%
Records measured 4,083,426+Companies reached 613,244+Full schema & examples →

See the real records for yourself.

Real records from production, delivered to your inbox.

See full coverage & segmentation across all 35 signal types →

Worked Example

One signal, traced to outcome

One Hiring Trend Signals record followed from detection, through the action a rep took on it, to the measured result. Illustrative composite of observed customer workflows.

01 signal → 02 action → 03 outcome

01

Signal detected

Stripe posts 127 engineering roles in a single week, up 45% from 30 days ago, with a focus on ML infrastructure and payments platform positions.

02

Action taken

A developer tools vendor targets Stripe's engineering leadership:

Your team is scaling fast, with 127 open engineering roles. Here's how we help fast-growing platform teams maintain velocity without sacrificing code quality.
03

Outcome

Meeting booked in 3 days

Because the outreach was grounded in a specific, verifiable hiring surge that signaled active investment.

FAQ

Frequently Asked Questions

How many departments does hiring trends data cover?
We track hiring across 23 distinct departments including engineering, sales, marketing, customer success, finance, legal, operations, HR, product, design, data science, and DevOps. Each department's open roles are broken down by seniority level and location.
What's the difference between hiring trends and hiring velocity?
Hiring trends show the current snapshot of open roles by department and seniority. Hiring velocity measures the rate of change, specifically how fast a company is accelerating or decelerating its hiring over 30, 60, and 90-day windows. Use both together for the full picture.
How are hiring trends useful for sales teams?
Hiring signals reveal where companies are investing. A surge in engineering hiring indicates technology investment. Sales hiring means revenue growth mode. A new data science team suggests analytics or AI initiatives. These patterns create timely, relevant outreach opportunities.
How many companies are covered by hiring trend signals?
Hiring trends cover 50M+ companies globally, making it one of our broadest signal types. Coverage spans from startups to enterprise organizations across all industries.
Do hiring signals include sample job titles?
Yes. Each hiring trend signal includes sample job titles, locations, and the total count of open positions per department. This context helps sales reps craft more specific and relevant outreach.

How It Works

From Raw Data to Your Stack

Autobound ingests from Job boards, LinkedIn profiles, company filings, extracts structured signals with AI, and delivers them however your infrastructure needs.

01

Autobound Ingests

Raw data from Job boards, LinkedIn profiles, company filings is continuously collected and normalized across millions of sources.

02

AI Extracts & Scores

ML models extract 23 departments signal subtypes with relevance scoring, confidence levels, and entity resolution.

03

You Receive

Structured JSONL delivered via your preferred method, updated on a weekly cadence.

REST API

Real-time access with subtype filtering

300 req/min

GCS Push

Automated delivery to your bucket

JSONL + Parquet

Enrich API

On-demand LLM-ranked insights

AI relevance scoring

Flat File

Bulk exports for data warehouses

CSV, JSON, Parquet
Hiring signals let us identify companies that are actively investing before they even publish an RFP. We reach decision-makers while the budget is still being allocated.

Platform Partner

Head of Data, Enterprise Sales Platform

Ready to License Hiring Trend Signals?

Custom pricing based on signal types, delivery frequency, and volume. Full schema documentation and integration guides included.