Greenhouse
End-to-end applicant tracking system and structured-hiring platform, now layered with 'Greenhouse AI' features such as resume parsing, Talent Matching, and interview summarisation.
HireAIScore rates Greenhouse 67 out of 100 (grade D, Concerning) under rubric v1.0, last reviewed June 7, 2026. Greenhouse ranks 1 of 47 vendors rated in ATS-integrated AI, against a category average of 49. That score is drawn from 17 evidence items across 7 rubric criteria for Greenhouse — 16 with a cited source, 1 recording that nothing was located.
§ 01 - Company facts
- Legal name
- Greenhouse Software, Inc.
- Founded
- 2012
- Headquarters
- United States · US
- Pricing tier
- Enterprise
- Market side
- Employer-side (AEDT)
- Categories
- ATS-integratedSourcingScreening
- Website
- greenhouse.com
These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%78
+15.6 · category avg 53
- 02
Bias Audit Transparency
Weight 18%86
+15.5 · category avg 45
- 03
FRIA Support
Weight 15%42
+6.3 · category avg 33
- 04
Data Governance Disclosure
Weight 15%64
+9.6 · category avg 56
- 05
Human Oversight Design
Weight 12%66
+7.9 · category avg 57
- 06
Post-Market Monitoring
Weight 12%58
+7.0 · category avg 42
- 07
Customer Documentation
Weight 8%64
+5.1 · category avg 59
Category avg is the mean raw score on that criterion across the 47 ATS-integrated AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Bias Audit Transparency
Raw score 86 · contributes 15.5 to total.
86 against a 45 category average
Weakest category
FRIA Support
Raw score 42 · contributes 6.3 to total.
42 against a 33 category average
§ 04 - Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
Evidence ledger
- Items
- 17
- Documentation
- 11
- Audit report
- 2
- Public statement
- 3
- Absence
- 1
- With a source URL
- 16 of 17
- Source hostnames
- 4
- Fewest items
- 2
- Bias Audit Transparency
These figures measure how thoroughly Greenhouse was reviewed, not how Greenhouse performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items78
- DocumentationCaptured Jun 7, 2026
Five-pillar AI Principles Framework (April 2026) with explainability as Pillar 5: 'All AI outputs must be transparent and interpretable.'
- Public statementCaptured Jun 7, 2026
ISO/IEC 42001:2023 AI Management System certification independently audited by Schellman, announced Feb 2026.
- DocumentationCaptured Jun 7, 2026
Compliance-oriented processing FAQ documenting input data categories, match-strength outputs, and controller responsibilities (instructions-for-use).
https://support.greenhouse.io/hc/en-us/articles/41131616864283-Talent-Matching-Data-Processing-FAQ
Bias Audit Transparency
2 items86
- Audit reportCaptured Jun 7, 2026
Public Warden AI assurance dashboard for Talent Matching; monthly audits, latest May 2026, 61,716 profiles across 11 protected categories, downloadable report, '82 Clear / 0 Consider / 0 Concern.'
- Public statementCaptured Jun 7, 2026
States 'Greenhouse undergoes monthly third-party bias audits by Warden AI.'
FRIA Support
2 items42
- DocumentationCaptured Jun 7, 2026
Explicit deployer-obligation guidance: customers must establish deletion/access processes per applicable law; candidate opt-out triggers 'Needs manual review.'
https://support.greenhouse.io/hc/en-us/articles/41131616864283-Talent-Matching-Data-Processing-FAQ
- AbsenceCaptured Jun 7, 2026
No public material located as of 2026-06-07.
Where we lookedNo Article 27 FRIA template or questionnaire located on greenhouse.com, /security, support.greenhouse.io, or trust.greenhouse.com.
Data Governance Disclosure
2 items64
- DocumentationCaptured Jun 7, 2026
States Greenhouse does not use customer personal data to train its internal or third-party models; anonymized-only training data, 30-day OpenAI retention, 15-day AI log retention, tokenized third-party sharing.
https://support.greenhouse.io/hc/en-us/articles/24315491395227-AI-ML-Security-Privacy
- DocumentationCaptured Jun 7, 2026
Lists ISO 27001:2022, ISO 27701:2019, ISO 42001:2023, annual SOC 1/SOC 2 Type 2 audits, EU-US/UK/Swiss DPF, GDPR, and CCPA/CPRA.
Human Oversight Design
2 items66
- DocumentationCaptured Jun 7, 2026
'Humans are required to make the decision for each candidate... no mechanism that automatically advances or rejects'; candidate opt-out triggers manual review; exportable packets show AI rating and reasoning.
https://support.greenhouse.io/hc/en-us/articles/41131616864283-Talent-Matching-Data-Processing-FAQ
- Public statementCaptured Jun 7, 2026
Pillar 4 'Explicit Decision Ownership'- AI informs but never decides; no composite scores; org-level feature toggles.
Post-Market Monitoring
3 items58
- DocumentationCaptured Jun 7, 2026
Live status page with 90-day per-component uptime, incident history, and email/SMS/Slack/webhook/RSS incident subscriptions.
- Audit reportCaptured Jun 7, 2026
Continuously updated monthly bias-monitoring dashboard tracking results over time.
- DocumentationCaptured Jun 7, 2026
HackerOne bug-bounty program, 24/7/365 security operations center, and annual third-party penetration testing (including AI-focused).
Customer Documentation
3 items64
- DocumentationCaptured Jun 7, 2026
Per-feature AI documentation index (15 features) listing data used and whether each uses OpenAI or Greenhouse AI internally.
https://support.greenhouse.io/hc/en-us/articles/33043749845403-Greenhouse-AI-features
- DocumentationCaptured Jun 7, 2026
Public AI recruiting product page covering Talent Matching, resume anonymization, offer forecasting, and responsible-AI framing.
- DocumentationCaptured Jun 7, 2026
Compliance-oriented deployer FAQ covering data processing, candidate rights, manual review, and controller obligations.
https://support.greenhouse.io/hc/en-us/articles/41131616864283-Talent-Matching-Data-Processing-FAQ
§ 05 - Editorial notes
Company overview
Greenhouse Software, founded in 2012 and headquartered in New York City, is one of the most established applicant tracking and structured-hiring platforms. Historically it positioned itself around "structured hiring" and human judgment rather than algorithmic decision-making, and that posture is now codified in a public AI Principles Framework whose fifth pillar states bluntly that "if AI can't explain itself, it doesn't belong in hiring." Its AI feature set - Talent Matching, resume anonymisation, scorecard and email generation, interview "Key takeaways" and offer forecasting - is delivered as decision-support that, per its own documentation, "never automatically advances or rejects candidates."
Regulatory exposure
As an ATS deployed by employers hiring in New York City, Illinois, Colorado, and the EU, Greenhouse's AI features (chiefly Talent Matching) fall within the scope of NYC Local Law 144, the EU AI Act's high-risk Annex III employment use case, and Colorado SB 205. Greenhouse has met this exposure unusually well: it holds ISO/IEC 42001 certification (Schellman, February 2026), publishes monthly independent bias audits by Warden AI mapped to LL 144, EU AI Act, Colorado SB 205, and California FEHA, and documents that it does not use customer personal data to train models and assigns no composite ranking score. The principal residual gap is the absence of an EU AI Act Article 27 FRIA template - a near-universal deployer gap rather than a Greenhouse-specific one.
Path to a higher score
Greenhouse already sits near the top of the field. Incremental gains would come from publishing an explicit Article 27 FRIA template or deployer-obligation checklist; surfacing a downloadable model/system card or technical pack alongside its principles page; continuing the consecutive public Warden audit cadence to cross the multi-year bar; and consolidating its scattered support-article governance docs into a single deployer/compliance hub.
§ Regulatory frame
What applies to ats-integrated ai.
Ranking features are inside EU AI Act Annex III §4 (high-risk) and inside NYC Local Law 144 when they affect NYC-based candidates. Customers should treat the AI surface as a distinct deployer-FRIA scope from the rest of the ATS.
§ Compare
Build any comparison→Greenhouse against its nearest-scoring peers.
In ATS-integrated AI.
§ Others rated in ATS-integrated AI
All ats-integrated vendors→Ranked 1 of 47 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.
- 01GreenhouseThis profile67D
- 02Eightfold AI64D
- 03SmartRecruiters62D
Conflicts of interest
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Casework has no commercial relationship with this vendor.