Description
Greenhouse Voice AI is a structured voice interviewing product built by Greenhouse, the recruiting software company; it was formerly a standalone product called Ezra before Greenhouse acquired and absorbed it into its own platform. The product responds to a specific problem: as candidates increasingly use AI to tailor resumes, resumes alone tell recruiters less about who a candidate actually is. Voice AI gives every candidate a real, structured conversation instead of a keyword scan, while giving recruiters a consistent signal to screen against.
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The process runs in five stages. First, recruiters and hiring managers define what "great" looks like for the role: the interview questions, a scoring rubric, and context Voice AI uses to calibrate its scoring. Second, candidates complete a two-way voice conversation on their own schedule, with dynamic follow-up questions and the ability to ask their own questions, answered only from what the hiring team approved. Third, the hiring team reviews the results: a recording, transcript, per-question score, and detailed explanation, with flags for any inconsistencies. Fourth, humans make the actual hiring decision, using Voice AI's output as evidence rather than a final answer; every score can be reviewed and overridden. Fifth, everything is documented for compliance, with monthly independent bias audits and a full audit trail on every interview.
Conversations run with roughly two-second response latency, faster than the four to five seconds Greenhouse cites for other voice products, so the exchange feels closer to a live call than a scripted bot. The system also includes fraud and cheat detection, flagging signs a candidate is getting outside help and checking resume authenticity against interview answers. Voice AI integrates with 60+ applicant tracking systems, including Ashby, iCIMS, Lever, Workday, and Teamtailor, and works with or without the Greenhouse ATS itself. It's available in 11 languages and runs around the clock, so candidates aren't limited to business-hours interview slots.
On the governance side, Greenhouse holds ISO/IEC 42001 certification for AI governance and publishes results of an independent monthly bias audit. Voice AI is sold as an annual subscription that scales with an organization's size and hiring needs; Greenhouse doesn't publish a fixed price list. It's built for recruiting and talent teams handling volume hiring who want a consistent first screen before candidates reach a human interviewer.
- CategoryAI Recruiting Tools
- Pricing ModelAnnual Subscription
- DeploymentCloud
- PlatformsWeb
Greenhouse Voice AI's Core Features
Two-way voice interviews with dynamic follow-up questions, not a one-way recording or scripted chatbot
Rubric-based scoring defined by the hiring team, with every score reviewable and overridable
Around two-second response latency for a conversational pace
Full recording, transcript, and audit trail generated for every interview
Monthly independent bias audits published for public review
Cheat and fraud detection, including flags for AI-assisted answers and a resume authenticity check
Integrates with 60+ ATS providers, including Ashby, iCIMS, Lever, Workday, and Teamtailor
Works with or without the Greenhouse applicant tracking system
Available in 11 languages with 24/7 candidate scheduling
How to use Greenhouse Voice AI?
Define the role: Recruiters and hiring managers set the interview questions, scoring rubric, and role context
Candidate interview: Candidates complete the two-way voice interview on their own schedule and can ask their own questions
Review results: The hiring team reviews the recording, transcript, score, and rationale for each candidate
Decide together: Recruiters and hiring managers make the final call, adjusting or overriding scores as needed
Audit and improve: Every interview is logged for compliance, supporting the monthly independent bias audits
Greenhouse Voice AI's Use Cases
- High-volume screening
- Recruiter time savings
- Compliance-ready hiring records
