Otta Smart Matcher
Test AI job matching algorithm with your profile
Your Skills
Experience & Preferences
Seed
Series A
Series B
Growth
Public
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Match Score
Recommended Jobs
Frequently Asked Questions
How does Otta’s matching algorithm work?
Otta uses machine learning to analyze your skills, experience, and preferences against job requirements and company culture. It weighs factors like skill overlap, seniority fit, company stage alignment, and historical hiring patterns to generate match scores.
What’s considered a good match score?
80%+: Excellent match. 65-79%: Good match. 50-64%: Moderate fit. Below 50%: May require skill gaps to be filled or preference adjustments.
Can I adjust the matching criteria?
Yes! Update your profile preferences anytime. Otta learns from your application behavior—jobs you apply to, reject, or save are used to refine future recommendations. You can also set deal-breakers (e.g., no on-site roles).
Does Otta share my profile with companies automatically?
No. Otta only shares your profile when you explicitly apply. However, you can enable “Open to Offers” mode, where companies matching your criteria can reach out. You control visibility and can disable it anytime.
Related Articles
AI Matching vs Keyword Search: Study Results
Research comparing Otta’s AI algorithm with traditional keyword searches. AI matching showed 2.3x higher interview-to-application ratio and 40% faster time-to-offer.
Optimizing Your Otta Profile for Better Matches
Expert tips on skill tagging, preference prioritization, and profile completeness. Learn which fields have the highest impact on match score quality.
Otta’s Secret Sauce: Inside the Matching Engine
Technical breakdown of Otta’s matching algorithm. Topics include NLP for skill extraction, collaborative filtering, and how the model learns from user behavior.