What the reviews say
A Machine Learning employee describes the company as fast-paced with a startup culture, which can be overwhelming for those who do not like working quickly, though they view it as a positive.
What this signalsEmployee reviews often show internal change before it is announced.
Roles mentioned
glassdoor-companyglassdoorRapidGrowthPainsGet every Glassdoor signal for AppLovin and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at AppLovin this week?”
The Signal API returns Glassdoor signals for any list of companies as JSON, for your CRM, warehouse or app.
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This page shows a preview. The full glassdoor-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/0727a4f0-de43-4a1f-b6bd-0b13aa58b78b returns this record as JSON. POST /v1/companies/enrich returns every signal for applovin.com.
{
"signal_id": "0727a4f0-de43-4a1f-b6bd-0b13aa58b78b",
"signal_type": "glassdoor-company",
"signal_subtype": "glassdoorRapidGrowthPains",
"detected_at": "2026-09-14T07:11:18.729+00:00",
"company": {
"name": "AppLovin",
"domain": "applovin.com"
},
"data": {
"detail": "A Machine Learning employee describes the company as fast-paced with a startup culture, which can be overwhelming for those who do not like working quickly, though they view it as a positive.",
"summary": "Machine Learning role mentions fast-paced startup culture within a big tech company",
"relevance": 0.6,
"sentiment": "mixed",
"confidence": "low",
"job_titles": [
"Software Engineer",
"Machine Learning",
"Director"
],
"glassdoor_id": 576360,
"glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-AppLovin-EI_IE576360.11,19.htm",
"total_reviews": 10,
"review_date_newest": "2026-09-02T22:20:32.047Z",
"review_date_oldest": "2026-08-17T14:22:54.953Z",
"recent_reviews_count": 3,
"overallCompanyRatings": {
"ceo_approval": 0.66,
"culture_rating": 3.4,
"overall_rating": 3.8,
"business_outlook": 0.64,
"management_rating": 3.3,
"compensation_rating": 4.3,
"recommend_to_friend": 0.66,
"work_life_balance_rating": 2.9,
"career_opportunities_rating": 3.6
}
}
}
curl https://signals.autobound.ai/v1/signals/0727a4f0-de43-4a1f-b6bd-0b13aa58b78b \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"applovin.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.