Build a careful profile
Add experience, skills, languages, location preferences, workload needs, and application goals.
Swiss opportunity discovery for clearer job search
Kareero.com
Find Swiss roles that fit your profile.
Kareero.com compares your profile with Swiss opportunities, explains relevance signals, and keeps the application step at the original source unless a job is posted inside Kareero.com.
0-100 relevance score
Profile context-first matching
Source apply where the job lives
The search problem
Swiss job search is hard when every board speaks a different language.
Kareero.com starts with job seekers who need less noise: expats, RAV users, graduates, and people comparing role fit across skills, languages, location, workload, and source quality.
Product preview
Profile context, ranked opportunities, clear reasons.
The first product loop is simple: describe the profile, search with intent, review a relevance score, read the reasons, then open the original source when a role is worth pursuing.
Choose a Swiss search
Each example keeps the score as a relevance signal, not as a prediction of interview or hiring outcome.
2 Token
Live preview
Analysis path
Ranked opportunities
Redirect to sourceBest-fit Swiss results
How it works
From profile to better-fit Swiss opportunities.
Search with intent
Look for roles, apprenticeships, internships, or RAV-relevant searches in practical language.
Compare relevance
Review scores and reasons that explain why an opportunity may or may not fit.
Apply at the source
Open the original listing unless the company has explicitly posted the job inside Kareero.com.
Token transparency
Premium AI actions should show their cost before you use them.
Free discovery should stay useful. Deeper analysis can use Tokens when the product needs more AI work, with the cost visible before the action runs.
0 Token Browse and inspect roles
Keep basic discovery useful before any premium action.
2 Token Run deeper relevance analysis
Compare profile context with role requirements and source signals.
4 Token Prepare focused application insight
Use more detailed analysis for roles the user chooses to pursue.
Trust and limits
The page explains what Kareero.com can help with and what it cannot promise.
Launch copy must stay practical: relevance scores are signals, users stay in control, external applications remain at the source, and source readiness is not provider endorsement.
Scores are not hiring predictions
A match score helps compare relevance. It does not promise interviews, offers, or employer decisions.
Applications stay clear
Most applications happen on the original source. Kareero.com should not imply automatic application submission.
Profile data is minimized
The landing asks for waitlist context only, not CV files or sensitive job-history data.
Source trust stays factual
Readiness notes can describe product checks without implying legal approval or provider certification.
Assisted discovery
Support from another person must be permissioned and visible.
Kareero.com can later support RAV advisers, coaches, or trusted helpers, but only as consent-based assistance for a specific person and search goal.
01 Consent first
A helper should not search, track, or act for someone without a clear grant.
02 Actions are visible
Represented search and reminders need audit-friendly status, not hidden control.
03 The candidate decides
Recommendations can guide decisions, but the user remains responsible for applications.
Future vision
Companies, schools, and academy layers come after the job seeker loop is clear.
The launch story stays B2C first. Later product layers can use the same relevance foundation without making them the primary promise today.
Company layer
Fit-aware candidate review after employer tools are ready.
86
Maya R. Product analyst - SQL, German B2, Zurich
81
Leo B. Operations profile - French, Lausanne, hybrid
School layer
Placement workflows for internships and graduate transitions.
- 01 Student profile
- 02 Opportunity fit
- 03 Advisor review
Academy layer
Training paths connected to real career intent.
Skill gap
Data analytics course Relevant to analyst searches and SQL gaps
Career fit
Swiss application workshop Useful for RAV and localized application expectations
What you can expect
Early access stays focused on transparent discovery, not big promises.
01
Preview profile-based discovery before the full MVP opens.
02
Help shape Swiss search filters, relevance explanations, and Token clarity.
03
Receive practical launch updates without hiring guarantees or inflated claims.
FAQ
Clear answers before you join.
The landing keeps the product boundary visible so job seekers understand the search layer, application flow, Tokens, and future roadmap.
01 What is Kareero.com?
Kareero.com is a profile-based Swiss job discovery layer. It helps compare opportunities against a user's context and explains why a role may be relevant.
02 Is this another job board?
The first loop is closer to a relevance layer over opportunity sources. The aim is to reduce noisy browsing, not to replace every original job source.
03 What does the 0 to 100 score mean?
The score is a relevance signal based on profile and role context. It is not a hiring prediction, interview promise, or employer decision.
04 Why use Tokens?
Tokens keep the cost of deeper AI analysis visible before premium actions run. Basic discovery should still remain useful.
05 Who is the first version for?
The launch priority is job seekers in Switzerland, including people navigating language, location, RAV, internship, or entry-level constraints.
06 Where do applications happen?
Most applications happen at the original source. Kareero.com redirects users there unless a company-posted job is explicitly handled inside Kareero.com.
Early access
Help shape clearer Swiss job search from the beginning.
Get launch updates as Kareero.com tests clearer profile-based discovery, relevance explanations, and transparent premium AI actions.