What the reviews say
Multiple reviews highlight a positive and supportive work environment with great interactions among colleagues and managers across various roles.
What the reviews say
Multiple reviews highlight a positive and supportive work environment with great interactions among colleagues and managers across various roles.
What this signalsEmployee reviews often show internal change before it is announced.
Job titles in the reviews
glassdoor-companyglassdoorHighCulturePraiseGet every Glassdoor signal for Red Bull 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 Red Bull this week?”
The Signal API returns Glassdoor signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
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/22b462c0-0d8c-4944-9840-ae0f09df5bd0 returns this record as JSON. POST /v1/companies/enrich returns every signal for redbull.com.
{
"signal_id": "22b462c0-0d8c-4944-9840-ae0f09df5bd0",
"signal_type": "glassdoor-company",
"signal_subtype": "glassdoorHighCulturePraise",
"detected_at": "2026-09-14T07:11:29.415+00:00",
"company": {
"name": "Red Bull",
"domain": "redbull.com"
},
"data": {
"detail": "Multiple reviews highlight a positive and supportive work environment with great interactions among colleagues and managers across various roles.",
"summary": "Employees consistently praise Red Bulls amazing company culture and friendly coworkers",
"relevance": 0.6,
"sentiment": "positive",
"confidence": "high",
"job_titles": [
"Accountant",
"Student Marketeer",
"Marketing Manager",
"Account Manager",
"Field Marketing Specialist",
"Social Media Specialist",
"Engineer",
"Data Scientist"
],
"glassdoor_id": 12190,
"glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-Red-Bull-EI_IE12190.11,19.htm",
"total_reviews": 10,
"review_date_newest": "2026-09-07T23:44:27.570Z",
"review_date_oldest": "2026-08-17T03:53:07.263Z",
"recent_reviews_count": 10,
"overallCompanyRatings": {
"ceo_approval": 0.92,
"culture_rating": 4.2,
"overall_rating": 4.2,
"business_outlook": 0.72,
"management_rating": 3.7,
"compensation_rating": 4,
"recommend_to_friend": 0.8,
"work_life_balance_rating": 3.7,
"career_opportunities_rating": 3.7
}
}
}
curl https://signals.autobound.ai/v1/signals/22b462c0-0d8c-4944-9840-ae0f09df5bd0 \
-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":"redbull.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.