Recently, our DACH Country Manager, Kateryna Cherniaeva, spoke at RecBuzz about how structured data is reshaping the way people discover job opportunities. Her key message? Job searching shouldn’t be a shot in the dark.
Imagine typing “marketing manager in New York” into a job board. But here’s the catch: the candidate will only see jobs with those exact words.
Roles like “growth strategist” or “brand lead” might be a great fit, but you’ll likely never see them. The result? Missed opportunities, just because of the way jobs are labeled.
A recent Jooble survey in the U.K. found that 3 in 10 job seekers have a hard time finding roles that match their skills, and employers aren’t having much luck either.
This disconnect hurts both sides: job seekers miss out on great opportunities, and companies lose access to qualified talent.
We knew the system was broken, so we redesigned it from the ground up. At Jooble, our new search engine is built on four core principles:
Here’s something surprising: In countries like Germany and France, around 20% of job listings don’t include a specific profession in the title or description.
That’s a big problem when you realize that 40–50% of people search by job title.
Why does this happen? It’s often because recruiters use vague titles like “We’re hiring!” or “Temporary role.” This is not out of laziness—it’s just how their internal systems are set up.
So we asked ourselves: how can we fix this without forcing recruiters to change the way they work?
Read also: Jooble Establishes a New Expansion Team to Strengthen Global Market Presence
That’s where Jooble’s solution comes in.
We built an AI-powered system that does the hard work for recruiters. It scans every job listing—even the vague ones—and automatically tags it with the three most relevant job titles from our database.
No extra effort needed from the recruiter’s side.
For example, a family once posted a childcare job without a clear title. Our system scanned the description and instantly tagged it as “babysitter,” “childcare worker,” and “nanny.” Just like that, the job became visible to the right candidates.
The results were precise:
We didn’t just improve search — we helped people connect faster and smarter.
Of course, AI isn’t perfect. Sometimes it suggests titles that are too broad or slightly off. That’s why we still have real people reviewing and tweaking results when needed, because context matters.
Read also: Why a Customer-Centric Approach Wins: Lessons from Jooble on Navigating the Job Market
We’re just getting started. Next up, we’re adding more structure to our system — things like job perks, tax info, and richer descriptions — everything job seekers need to make smarter choices.
Our mission? To help employers get noticed and help people find the jobs they want. This isn’t just about improving one platform. It’s about building a job market that’s clear, relevant, and efficient for everyone. Because job searching should feel exciting, not overwhelming.
