LinkedIn Recent Hires

Find recently hired employees at a company with hiring velocity signals

POST /v1/linkedin/hires

LinkedIn Recent Hires

cURL

curl --request POST \
  --url https://api.gtmapis.com/v1/linkedin/hires \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "domain": "<string>",
  "linkedin_url": "<string>",
  "days_back": 123,
  "limit": 123
}
'

200

{
  "domain": "<string>",
  "company_name": "<string>",
  "recent_hires": [
    {}
  ],
  "total": 123,
  "days_back": 123,
  "hiring_velocity": 123,
  "top_departments": [
    {}
  ],
  "department_breakdown": {}
}

LinkedIn Recent Hires

Discover who a company has recently hired. Use this to identify buying signals - companies that are growing often have budget to spend.

Endpoint

POST /v1/linkedin/hires

Request

domain · string · required

Company domain (e.g., “stripe.com”)

linkedin_url · string

LinkedIn company URL (alternative to domain)

days_back · integer · default: "90"

How many days back to look for hires (max 180)

limit · integer · default: "20"

Max number of hires to return (max 100)

Example Request

cURL

curl -X POST https://api.gtmapis.com/v1/linkedin/hires \
  -H "Content-Type: application/json" \
  -H "X-API-Key: gtm_test_your_key_here" \
  -d '{
    "domain": "stripe.com",
    "days_back": 90,
    "limit": 20
  }'

Response

domain · string

Company domain

company_name · string

Company name

recent_hires · array

List of recently hired employees

total · integer

Total number of hires found

days_back · integer

Number of days searched

hiring_velocity · number

Average hires per month

top_departments · array

Departments with most hires

department_breakdown · object

Hires count by department

Example Response

{
  "domain": "stripe.com",
  "company_name": "Stripe",
  "recent_hires": [
    {
      "first_name": "Emily",
      "last_name": "Rodriguez",
      "full_name": "Emily Rodriguez",
      "title": "Senior Product Manager",
      "seniority": "Senior",
      "department": "Product",
      "linkedin_url": "https://linkedin.com/in/emilyrodriguez",
      "location": "San Francisco, CA",
      "start_date": "2026-01-10"
    },
    {
      "first_name": "David",
      "last_name": "Kim",
      "full_name": "David Kim",
      "title": "Staff Engineer",
      "seniority": "Senior",
      "department": "Engineering",
      "linkedin_url": "https://linkedin.com/in/davidkim",
      "location": "Seattle, WA",
      "start_date": "2026-01-05"
    }
  ],
  "total": 45,
  "days_back": 90,
  "hiring_velocity": 15.0,
  "top_departments": ["Engineering", "Sales", "Product"],
  "department_breakdown": {
    "Engineering": 20,
    "Sales": 12,
    "Product": 8,
    "Marketing": 5
  },
  "source_provider": "proxycurl",
  "credits_charged": 2,
  "latency_ms": 1456,
  "cache_hit": false
}

Hiring Signals

The response includes valuable sales signals:

Signal	What It Means
High hiring_velocity	Company is growing fast, likely has budget
Engineering in top departments	Product investment, may need dev tools
Sales in top departments	Revenue focus, may need sales tools
Marketing in top departments	Growth focus, may need marketing tools
Senior-level hires	Building leadership, major initiatives

Credit Pricing

Scenario	Credits Charged
Fresh lookup	2 credits
Cache hit (within 24 hours)	0 credits
Error / company not found	0 credits

Recent hires data is cached for 24 hours since it changes frequently.

Use Cases

Find warm leads

New hires often have budget and mandate to buy tools. They’re great prospects in their first 90 days.

Identify growth companies

High hiring velocity indicates growth and budget availability.

Department-based targeting

If you sell to engineering teams, look for companies hiring lots of engineers.

Competitive intelligence

Track which departments your competitors are investing in.

Related Endpoints

Job Postings

See open positions (future hires)

Employee Count

Get total headcount with growth