Enable Integrations or automations with these events of Talenteria and Suno
Creates a new job.
Find the details of a specific job.
Update the details of a specific job
Fetch all candidate applications linked to a specific job opening by providing the job ID.
Create a new talent pool by providing a title, category, and optional details such as location and visibility settings.
List all the talent pools openings.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Talenteria and Suno accounts to viaSocket. Once connected, you can set up a workflow where an event in Talenteria triggers actions in Suno (or vice versa).
Absolutely. You can customize how Talenteria data is recorded in Suno. This includes choosing which data fields go into which fields of Suno, setting up custom formats, and filtering out unwanted information.
The data sync between Talenteria and Suno typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Talenteria and Suno. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Talenteria is a comprehensive platform designed to streamline talent acquisition and recruitment processes. It offers tools for creating career sites, managing job postings, and enhancing candidate engagement.
Learn MoreSuno is a cutting-edge platform that provides advanced AI tools and services through its API. It is designed to empower developers and businesses with powerful artificial intelligence capabilities, enabling them to integrate AI-driven features into their applications seamlessly. Suno offers a range of AI solutions, including natural language processing, machine learning, and data analysis, to enhance productivity and innovation.
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