Semantic, not keyword
Roles are matched on meaning, so different vocabulary for the same skill still connects.
Receive personalized job recommendations based on skills, experience, education, certifications, location and career goals — ranked by genuine fit, not keyword overlap.

AI job matching compares the meaning of your profile against the meaning of every open role instead of matching keywords. Your uploaded resume is parsed into structured signals — skills, job titles, seniority, industries, education, certifications and location preferences — and each job is represented the same way. The engine scores the overlap and ranks roles by fit, so a "Golang engineer" surfaces for a "Backend Engineer (Go)" posting, and the ranking sharpens as you save, apply to or dismiss roles.
Parsing extracts your skills, titles, dates, education and certifications into structured fields — no forms to fill in.
Review what the parser read, then add what a resume does not say: target titles, salary expectation, locations, and whether you want remote work.
Every open role is scored against your profile and ordered by fit, with the specific overlap shown so you can see why a role was surfaced.
Easy Apply submits your stored resume instantly. Each save, application and dismissal feeds back into the ranking, so recommendations get more accurate over time.
Six things the matching engine does that a keyword search cannot.
Roles are matched on meaning, so different vocabulary for the same skill still connects.
Skills, seniority, industry, education, certifications and location are all weighted together.
Each recommendation shows the overlap that produced it, so you can judge the match yourself.
Saves, applications and dismissals continuously retune what you are shown.
Remote, hybrid and onsite preferences are treated as real constraints, not tags.
Get notified the moment a role clears your fit threshold, before it hits the wider market.
Upload your resume once and let AI matching surface the roles that actually fit — free, forever.