Layiq is built around a simple job-search workflow: understand what kind of work fits, compare job postings against that context, and show the roles that are worth closer review. The product is candidate-side only. It does not rank candidates for employers, sell access to candidate profiles, or send employer-facing hiring reports.
1. Layiq starts with your inputs
The main inputs are your resume, work preferences, search criteria, and saved feedback. Your resume gives Layiq evidence about titles, responsibilities, skills, dates, industries, and scope. Your criteria add practical boundaries such as role type, location, work mode, compensation range, and company preferences.
- Profile evidence
Resume and setup answers describe what you have actually done and what kind of role you want next.
- Search criteria
Target titles, locations, seniority, remote preferences, compensation, and exclusions narrow the search.
- Job details
Layiq reads available posting details such as responsibilities, requirements, location, work mode, compensation, and company context.
- Fit check
Rules and AI-assisted review compare the job to your profile and criteria, then produce a score, label, and explanation.
2. The output is a ranked shortlist, not an automatic application
A fit check is meant to help you decide where to spend time. It is not a promise that a company will interview you, and it is not a replacement for your judgment. The most useful output is usually the explanation: why the role appears strong, what is uncertain, and which tradeoffs could matter before applying.
3. Your feedback improves future matching
When you save, dismiss, apply to, or report a job, Layiq can use that signal to tune the search experience. In practice, that feedback helps improve matching rules, explanations, safeguards, and quality checks over time.