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    Job Attribute search overview

    Written by Lindsey Stanifer

    Updated at August 20th, 2026

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    Table of Contents

    Use cases Best practices for implementation Search logic Configuration Relevant documentation Permissions

    Job Attribute search custom conversations allow your AI Assistant to better match candidates to jobs that they are qualified for either before applying to a job or after they have been dispositioned from a job. 


    Use cases

    • Teams who need to reduce the rate of unqualified candidates applying to jobs.
    • Teams who want to add validation layers to get the most qualified candidates applying to their jobs.
    • Teams who want to re-engage candidates post-disposition to find roles the candidate might be more qualified for.

    Best practices for implementation

    • Use when wanting to minimize disqualified candidates/dispositions.
    • Keep questions to a minimum (2-5 questions for pre-apply) to prevent candidate drop-off.
    • Validate that the job parameter data exists on the search terms that they are trying to search.

    Search logic

    As a candidate answers the questions within the engagement source’s Attribute Job Search conversation, their responses will be stored as query parameters that will then be aggregated for Job Search Service. Once all questions are answered, Job Search Service will return the results that best match the candidate’s experience.


    Configuration

    Follow the steps outlined here to configure this feature for your account.


    Relevant documentation

    Learn more about Job Attribute search, its functionality, and its capabilities here.


    Permissions

    By default, Paradox Admins, Company/Account Admins, and Franchise Owners will have full access to Conversation Builder, Jobs, Group Management, and Workflows. Adjust permissions to these or additional users, as needed.

    conversational ats engaging dispositioned candidates

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