Hiring Velocity

Aggregate hiring metrics showing a company's overall hiring pace, headcount, open roles, and breakdowns by department, location, seniority, and contract type.

Understand a company's hiring pace at a glance. This insight calculates hiring velocity as a percentage of headcount and provides detailed breakdowns by department, location, seniority, and contract type—giving you actionable context for your outreach.

We analyze over 160,000,000 job openings across 1,500,000 companies, making this a very high coverage insight.

Why This Insight Matters

Identify companies in growth mode vs. hiring freezes
Understand which departments are scaling fastest
Spot geographic expansion patterns
Time outreach when companies are actively building teams
Tailor messaging to specific growth challenges

Subtype

Signal	Subtype Enum	Description
Hiring velocity	`hiringVelocity`	Overall hiring pace and departmental distribution

Response Fields

Company Information

Field	Type	Example	Description
`company.name`	string	`"dbt Labs, Inc."`	Company name
`company.domain`	string	`"getdbt.com"`	Company domain
`company.linkedin_url`	string	`"linkedin.com/company/dbtlabs"`	Company LinkedIn URL
`company.industries`	string	`"Software Development"`	Company industry
`company.employee_count_low`	integer	`501`	Employee count range (low)
`company.employee_count_high`	integer	`1000`	Employee count range (high)

Hiring Metrics

Field	Type	Example	Description
`data.hiringVelocityPct`	number	`5.81`	Open roles as % of headcount
`data.numberOfEmployees`	integer	`860`	Total employee count
`data.numberOfOpenRoles`	integer	`50`	Total open positions
`data.takeaway`	string	`"Hiring velocity: Steady growth..."`	Human-readable velocity context
`data.whatOpenPositionsSignal`	string	`"May face challenges scaling..."`	Strategic interpretation

Department Breakdown

Field	Type	Example	Description
`data.departments[].category`	string	`"Engineering"`	Department name
`data.departments[].count`	integer	`21`	Number of open roles
`data.departments[].pct`	number	`42.0`	Percentage of total open roles

Location Breakdown

Field	Type	Example	Description
`data.locations[].category`	string	`"Seattle, Washington, United States"`	Location
`data.locations[].count`	integer	`10`	Number of open roles
`data.locations[].pct`	number	`20.0`	Percentage of total open roles

Seniority Breakdown

Field	Type	Example	Description
`data.seniority[].category`	string	`"Non Manager"`	Seniority level
`data.seniority[].count`	integer	`35`	Number of open roles
`data.seniority[].pct`	number	`70.0`	Percentage of total open roles

Contract Type Breakdown

Field	Type	Example	Description
`data.contracts[].category`	string	`"Remote"`	Contract/work type
`data.contracts[].count`	integer	`35`	Number of open roles
`data.contracts[].pct`	number	`70.0`	Percentage of total open roles

Full JSON Response Example

{
  "signal_id": "1b4493d0-058b-4a1a-b95c-c562d33ce5bb",
  "signal_type": "hiring-velocity",
  "signal_subtype": "hiringVelocity",
  "detected_at": "2025-01-05T00:00:00.000Z",
  "association": "company",
  "company": {
    "name": "dbt Labs, Inc.",
    "domain": "getdbt.com",
    "linkedin_url": "linkedin.com/company/dbtlabs",
    "industries": "Software Development",
    "employee_count_low": 501,
    "employee_count_high": 1000
  },
  "data": {
    "takeaway": "Hiring velocity: Steady growth for a large company. When companies with 500–5000 employees have open roles between 3% and 7% of their workforce, that's considered consistent growth.",
    "whatOpenPositionsSignal": "dbt Labs, Inc. may face challenges scaling customer acquisition and education efforts as evidenced by significant hiring in Sales and Education roles alongside their AI-focused analytics positioning.",
    "hiringVelocityPct": 5.81,
    "numberOfEmployees": 860,
    "numberOfOpenRoles": 50,
    "contracts": [
      { "category": "Remote", "count": 35, "pct": 70.0 },
      { "category": "Fully Remote", "count": 13, "pct": 26.0 },
      { "category": "All Levels", "count": 11, "pct": 22.0 },
      { "category": "Practitioner", "count": 4, "pct": 8.0 },
      { "category": "Contract", "count": 3, "pct": 6.0 }
    ],
    "departments": [
      { "category": "Engineering", "count": 21, "pct": 42.0 },
      { "category": "Sales", "count": 15, "pct": 30.0 },
      { "category": "Software Development", "count": 10, "pct": 20.0 },
      { "category": "Design", "count": 8, "pct": 16.0 },
      { "category": "Education", "count": 8, "pct": 16.0 }
    ],
    "locations": [
      { "category": "Seattle, Washington, United States", "count": 10, "pct": 20.0 },
      { "category": "United States", "count": 8, "pct": 16.0 },
      { "category": "Austin, Texas, United States", "count": 6, "pct": 12.0 },
      { "category": "India", "count": 4, "pct": 8.0 },
      { "category": "Ireland", "count": 4, "pct": 8.0 }
    ],
    "seniority": [
      { "category": "Non Manager", "count": 35, "pct": 70.0 },
      { "category": "Director", "count": 8, "pct": 16.0 },
      { "category": "Manager", "count": 6, "pct": 12.0 },
      { "category": "Vice President", "count": 1, "pct": 2.0 }
    ]
  }
}

Velocity Benchmarks

The takeaway field provides context based on company size:

Company Size	Slow	Steady	Aggressive
< 100 employees	< 10%	10-20%	> 20%
100-500 employees	< 5%	5-10%	> 10%
500-5000 employees	< 3%	3-7%	> 7%

API Usage

Generate Content API

{
  "enabledInsights": ["hiringVelocity"],
  "disabledInsights": []
}

Generate Insights API

{
  "insightSubtype": "hiringVelocity"
}

Example Output

"Michelle - Noticed dbt Labs is in steady growth mode with 50 open roles (5.8% of headcount), heavily weighted toward Engineering (42%) and Sales (30%). With significant remote hiring across the US and India, would love to show you how we're helping distributed teams maintain consistent outreach quality."

Coverage

Refresh: Daily
Coverage: 75-99% of companies
Best for: Timing outreach, identifying growth companies, understanding hiring priorities

Updated 2 days ago