What the reviews say
Technology consultants describe UIs and internal tools feeling like they are from the 1990s, being outdated, slow, and hindering software implementation.
What the reviews say
Technology consultants describe UIs and internal tools feeling like they are from the 1990s, being outdated, slow, and hindering software implementation.
What this signalsEmployee reviews often show internal change before it is announced.
Job titles in the reviews
glassdoor-companyglassdoorTechnicalDebtFrustrationGet every Glassdoor signal for Applied Materials 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 Applied Materials 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/d196b4b9-d43a-4eec-a6b0-195d05dbd837 returns this record as JSON. POST /v1/companies/enrich returns every signal for appliedmaterials.com.
{
"signal_id": "d196b4b9-d43a-4eec-a6b0-195d05dbd837",
"signal_type": "glassdoor-company",
"signal_subtype": "glassdoorTechnicalDebtFrustration",
"detected_at": "2026-09-14T07:11:27.587+00:00",
"company": {
"name": "Applied Materials",
"domain": "appliedmaterials.com"
},
"data": {
"detail": "Technology consultants describe UIs and internal tools feeling like they are from the 1990s, being outdated, slow, and hindering software implementation.",
"summary": "Employees cite outdated technology and slow systems impacting work",
"relevance": 0.6,
"sentiment": "negative",
"confidence": "low",
"job_titles": [
"Customer Service",
"Data Analyst",
"Anonymous",
"Manufacturing Engineer",
"Account Technologist",
"Costumer Engineer",
"Assembly Technician",
"Engineer"
],
"glassdoor_id": 1139,
"glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-Applied-Materials-EI_IE1139.11,28.htm",
"total_reviews": 10,
"review_date_newest": "2026-09-05T03:01:17.730Z",
"review_date_oldest": "2026-08-26T19:34:31.063Z",
"recent_reviews_count": 10,
"overallCompanyRatings": {
"ceo_approval": 0.83,
"culture_rating": 3.7,
"overall_rating": 3.9,
"business_outlook": 0.68,
"management_rating": 3.3,
"compensation_rating": 3.7,
"recommend_to_friend": 0.77,
"work_life_balance_rating": 3.5,
"career_opportunities_rating": 3.7
}
}
}
curl https://signals.autobound.ai/v1/signals/d196b4b9-d43a-4eec-a6b0-195d05dbd837 \
-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":"appliedmaterials.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.