How Recruiters Can Set Up & Customize CloudHire's AI Interviewer Settings
CloudHire’s AI interviewer settings give recruiters meaningful control over how the interview experience is configured, from the voice and name to the follow-up question style and how salary questions are handled.
Here’s what the settings section covers and what each option actually does.
CloudHire AI Interviewer Settings:
Identity: Voice, Name, and Pronouns
The identity section is where the AI interviewer’s basic characteristics are set. Recruiters can choose from six different AI voices, a mix of male and female options and preview each voice from the right-hand panel before committing. The interviewer’s name can also be customized, so the AI introduces itself with whatever name the recruiter prefers rather than a default system name. Pronouns can be edited as well.
These settings matter more than they might seem. A recruiter hiring for a technical role at a startup will probably want a different interviewer persona than one hiring for a corporate financial position. The voice and name set the first impression for every candidate who goes through the interview.
Company Section
Recruiters can add one or two lines about the company, which the AI uses when introducing itself at the start of an interview. This keeps the opening consistent across all candidate interviews for a given role and ensures the company context is communicated without relying on the recruiter to include it elsewhere.
Personality: Tone and Formality
The personality section controls the interviewer’s general demeanor. Tone can be set along a spectrum from direct to warm and encouraging and there’s a separate control for formality and helpfulness. These aren’t cosmetic adjustments; they affect how the AI phrases questions, responds to candidate answers, and handles pauses or hesitation during the interview.
A recruiter filling a customer success role might want a warmer, more conversational tone. One hiring for a data engineering position might prefer something more direct and efficient. The settings make it possible to calibrate for the role rather than applying the same interviewer style across every hire.
Interview Settings: Follow-Up Question Behavior
One of the more substantive settings is how the AI handles follow-up questions. Recruiters can configure the interviewer to ask follow-ups based on the candidate’s previous answer, so if a candidate gives a vague response, the AI probes further. Alternatively, they can set the interviewer to keep things quicker and lighter, moving through questions without deep follow-ups.
This is the difference between an interview that functions more like a structured screening and one that goes deeper into each answer. The right choice depends on and how much depth the recruiter wants at this stage of the process.
Guardrails: Handling Sensitive Questions
The guardrails section addresses a specific challenge in automated interviews: what happens when a candidate asks about salary, equity, or other sensitive topics that the AI might not be equipped to answer accurately. Recruiters can configure the AI to either respond to these questions or redirect them, for example, by telling the candidate that a human will follow up on that topic.
The toggle is simple: on or off. But the effect is significant, especially for roles where compensation questions are likely to come up early. Having the AI handle these gracefully rather than giving an incorrect or out-of-date answer protects both the candidate experience and the recruiter’s credibility.
Sign-Off Line
The final setting is the sign-off line, the statement the AI delivers at the end of every interview, whether the candidate completes it or exits early. Recruiters can write this themselves, so the interview closes on a consistent and appropriate note regardless of how the session ended.
Once all settings are configured, clicking ‘Save Interview’ locks in the AI interviewer’s profile for that account. From that point, every candidate who goes through an AI interview with that configuration gets the same experience.
How This Connects to the Rest of the Platform
The AI interviewer settings configure the experience that candidates encounter once they’ve been invited to complete an interview through CloudHire. That invitation flows from the hiring pipeline recruiters move candidates to the Cloud ID invited stage, which triggers the interview link automatically. The pipeline, email templates, and sourcing features are covered in the related posts below.