Know your level, target roles that actually fit, tailor every application, prep every interview, and keep leveling up once you land — so each move is intentional.
Paste your resume and see exactly which level you map to. Every bullet is tagged by competency and scored against the framework.
Get bullet-by-bullet suggestions that strengthen your framing without inventing facts. Accept inline, see your level update live.
Structured Situation-Task-Action-Result stories with AI feedback on demonstrated level and suggested improvements.
Generate a one-page resume customized for each application, drawing from your full experience and STAR stories.
Discover roles matched to your level, extract what they actually require, see gaps against your resume, then prep each round with AI story playbooks.
AI-generated development roadmap that works before and after you land — with milestones that map to your next promotion, not just your next offer.
See every bullet scored against your target level with rewrite suggestions inline. Match the qualifications jobs are actually looking for.
See your competency radar overlaid on the role requirements, match percentage, inferred level, and skill coverage — all before you apply.
Get AI-generated tips specific to each posting, add context to steer emphasis, and regenerate a tailored resume in one click.
Follow an AI-generated development roadmap with milestones that map to your next promotion — not just your next offer.
Browse AI-ranked opportunities scored against your experience. See match percentage, seniority fit, and company ratings before you apply.
Explore a heatmap of demand by role and level. See where opportunities cluster and whether remote or onsite dominates.
Recruiters can’t tell who’s qualified. Candidates can’t tell which roles fit. Everyone hedges with volume — more applications, more screens, more noise. LevelCheck restores signal on both sides: candidates create high-signal applications that cut through, and hiring teams post structured, level-calibrated roles that match on substance, not keywords.
Your level mapped to a competency framework, not inferred from a job title.
A match score against what the job description actually asks for.
What’s missing — and what you already cover implicitly.
Surface the work from your background that actually maps to this role — pulled forward from your full history, not just the top of your resume.
Working through STAR stories forces the introspection that turns raw experience into clear evidence you can speak to.
Post the role once and get signal, not volume. Describe a role in plain language and LevelCheck turns it into a structured, level-calibrated posting — the competency bar, must-have skills, and scope on the same framework candidates measure themselves against.
Stop reverse-engineering fit from a stack of mismatched resumes — the structure does the first pass.
Candidates see the exact level and competency bar, and opt in only when they genuinely match.
Ground-truth requirements feed matching directly, instead of lossy guesses scraped from prose.