Openwake · evidence pack

Greenhouse

https://www.greenhouse.com · record 160 · read 2026-09-05 · rules/v1 · generated 2026-09-06 04:03 UTC

Facts

Trains on customer data
unclear
“As part of this processing, we may use your Personal Information to improve, develop, and provide products and services, develop and train artificial intelligence (AI) models, develop, provide and personalize our services, and gain insights with the help of AI, automated systems and inferences, so that our services can be more relevant and useful to you and others.”
privacy policy · https://www.greenhouse.com/privacy-policy · confidence 0.30
Opt-out mechanism
You may opt-out of our marketing communications as described in the Opt-out of marketing section below.
“You may opt-out of our marketing communications as described in the Opt-out of marketing section below.”
privacy policy · https://www.greenhouse.com/privacy-policy · confidence 0.50
AI features
present
“As part of this processing, we may use your Personal Information to improve, develop, and provide products and services, develop and train artificial intelligence (AI) models, develop, provide and personalize our services, and gain insights with the help of AI, automated systems and inferences, so that our services can be more relevant and useful to you and others.”
privacy policy · https://www.greenhouse.com/privacy-policy · confidence 0.55
Model providers named
Anthropic, OpenAI
“ANTHROPIC United States Service provider for hosting large language models. Uses include AI product features and internal operational support purposes”
subprocessors · https://trust.greenhouse.com/legal/subprocessors · confidence 0.60
Retention
not stated
No supporting text found in the documents read.
privacy policy · https://www.greenhouse.com/privacy-policy · confidence 0.20
Hosting regions
not stated
No supporting text found in the documents read.
privacy policy · https://www.greenhouse.com/privacy-policy · confidence 0.20
Subprocessor notice
not stated
No supporting text found in the documents read.
privacy policy · https://www.greenhouse.com/privacy-policy · confidence 0.20

Subprocessors (16)

NameCategoryLocationQuoted from
AmplitudeotherUnited States
“AMPLITUDE United States Product analytics for UX/UI analysis and in-app experiences”
Anthropicmodel providerUnited States
“ANTHROPIC United States Service provider for hosting large language models. Uses include AI product features and internal operational support purposes”
Amazon Web ServiceshyperscalerUnited States
“AWS United States, Germany, Australia Server infrastructure and data hosting”
CloudflareotherUnited States
“CLOUDFLARE United States Email tracking and firewall services for Greenhouse Sourcing Automation”
DatadogotherUnited States
“DATADOG United States Performance data; processing HTTP user request data”
DropboxotherUnited States
“DROPBOX United States E-signature platform for Greenhouse Onboarding”
FastlyotherUnited States
“FASTLY.COM United States Delivery of assets (images, documents, client-side source code) and firewall services”
FivetranotherUnited States
“FIVETRAN United States Delivery of data to data warehouse FORETHOUGHT”
GainsightotherUnited States
“GAINSIGHT United States Customer success platform GLEAN”
Google AnalyticsotherUnited States
“GOOGLE ANALYTICS United States Website Analytics GOOGLE WORKSPACE”
MailgunotherUnited States
“MAILGUN United States Email Services for Greenhouse Recruiting”
MongoDBotherUnited States
“MONGODB United States Datastore for Greenhouse Sourcing Automation”
OpenAImodel providerUnited States
“OPENAI United States Service provider for hosting large language models. Uses include AI product features and internal operational support purposes”
SnowflakeotherUnited States
“SNOWFLAKE United States Data warehouse for product analytics”
TwiliootherUnited States
“TWILIO United States Two-factor authentication and email delivery system”
ZendeskotherUnited States
“ZENDESK United States Customer support ticketing system Show All”

Sources read

DocumentURLReadContent hashLedger
privacy_policyhttps://www.greenhouse.com/privacy-policy2026-09-0508745aebb809f231…seq 92
subprocessorshttps://trust.greenhouse.com/legal/subprocessors2026-09-057e8ff3af08d58e5a…seq 160
Ledger proof for this record.
seq 367 · key 2f898a895f05b7a0 · 2026-09-06T01:39:47.360Z
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anchored 2026-09-06 at head seq 564 231a9dea0f93915bd7110e6786e00908325db3031635ace53c1023f850e0c49c
Fetch /v1/keys; for each ledger entry recompute sha256(prev_hash|kind|ref_id|payload_hash|created_at ISO) and verify the Ed25519 signature over that hash. Anchors are committed to git; compare the anchored head with the chain.