Match score
Also called fit score, job match percentage.
A rating of how well one candidate profile fits one job posting, used to rank a long list of openings before a human reads any of them.
Match scoring compares the requirements a posting states — skills, seniority, education, location, language — against what a profile actually evidences, and produces a number. Its purpose is triage: with three hundred results, reading them all is not an option, and score-first ordering puts the ten worth reading at the top.
A score is only as good as the evidence beneath it, which is why the useful implementations show their reasoning rather than just a percentage. A thin profile will score optimistically against everything, because there's nothing in it to contradict a requirement. A detailed one produces spread — and spread is the whole point.
Treat it as a sort order, not a verdict. A 60% on a role you'd genuinely want is worth an application; a 90% on a role in the wrong city is not. The score tells you where to spend attention, and you make the decision.
Skills gap
The difference between what a posting asks for and what you can currently demonstrate — most of which is smaller than it looks.
Job search automation
Delegating the repetitive parts of a job hunt — searching, deduplicating, screening, drafting — to software, while keeping the judgment calls yourself.
Scheduled search
A saved set of search criteria that runs on a schedule and reports only what's new since the last run.
AI resume builder
A tool that drafts or rewrites resume content with a language model, ideally by reweighting facts you supplied rather than inventing new ones.