Job search is gone
Typing keywords to search for jobs no longer makes sense. Manually applying to numerous roles, especially when you clearly lack critical skills, only wastes your valuable time. With so much competition in the job market, you deserve job matches tailored specifically and intelligently to your profile.
The same applies to employers. Most Applicant Tracking Systems (ATS) still rely on basic Boolean searches, such as finding candidates who match simplistic criteria like "5 years' Python experience and fluent English." This method is inefficient, outdated, and often yields hundreds of irrelevant results. Screening these results manually is not only impractical but also ineffective in identifying genuinely qualified candidates.
Introducing AI-driven job matching
At Jobgether, we're reinventing job matching by leveraging cutting-edge artificial intelligence to ensure precision, fairness, and efficiency in connecting talent with employers.
Step 1: AI-based initial matching
Our advanced AI scans each candidate's CV and LinkedIn profile comprehensively (assuming these documents are detailed and well-crafted). This detailed analysis extracts crucial information, including:
- Relevant job experiences and roles held
- Seniority level and career progression
- Languages spoken and their proficiency
- Hard and soft skills explicitly mentioned or implied
- Industry-specific experience and contextual relevance
With these insights, the AI calculates an initial theoretical matching score, indicating how closely a candidate aligns with a particular job posting.
Step 2: Ontology-based skill matching (The core of precision)
The most sophisticated and critical component of our AI-driven approach is ontology-based skill matching. This system understands nuanced relationships between different skills, even if they're named differently, implicitly required, or contextually relevant. For example, "Growth Marketing" might imply knowledge of analytics tools, even if not explicitly stated. This nuanced understanding allows us to identify implicit skills, creating a more accurate profile match.
This skill-matching capability ensures that candidates and employers see highly relevant and tailored matches, significantly improving the chances of finding the perfect professional fit.
Replicating headhunter precision
When multiple top-tier matches appear for a single role, our AI goes further by replicating the detailed analytical approach of expert headhunters. The AI performs an in-depth evaluation of each candidate's professional experiences, highlighting those most closely aligned with the unique demands of the role, industry specifics, and organizational needs.
Unlike human recruiters, who typically spend only 6-8 seconds on initial CV screenings, our AI meticulously reviews each profile twice, a level of detail that would require approximately 20 minutes per CV if performed manually. This thorough process significantly enhances candidate relevance and hiring accuracy.
Transparent, fair, and efficient
Our methodology emphasizes:
- Efficiency: Delivering only genuinely relevant matches saves valuable time for both candidates and recruiters.
- Transparency: Candidates clearly see their exact matching percentage, enabling them to quickly evaluate if a role is worth pursuing, thus saving time and avoiding unnecessary disappointment.
- Fairness: Removing human bias from the initial screening process ensures every candidate is evaluated purely on merit, qualifications, and relevant experience.
Focusing on what matters
By automating precise skill and experience matching, we empower recruiters and talent acquisition specialists to focus on essential human-centric elements; such as cultural fit, personality alignment, team dynamics, and organizational values.
Ultimately, at Jobgether, our goal is to make hiring transparent, efficient, and deeply human-centric. We believe technology should facilitate connections, not complicate them.
Together, let's shape the future of hiring.