An AI-driven SaaS hiring platform enabling companies to seamlessly hire global tech talent through job postings, applications, AI-based recommendations, and interview management.
Product Development & Roadmapping
AI & Data Strategy
Customer Experience
My Role
Product Owner
Project Duration
7 Months
Problem Statement
Korean enterprises struggled to reach international talent pools and relied on fragmented tools. Hiring was slow, costly, and inconsistent due to manual shortlisting, lack of AI-driven recommendations, and limited localization for recruiters.
Solution
Developed an AI-powered matching engine to recommend candidates based on job descriptions and skill profiles.
Built end-to-end workflows: job postings, candidate applications, shortlisting, and interview scheduling.
Designed scalable roadmap features: Talent Pool, In-app Messaging, and Open Platform Access for enterprise adaptability.
Localized recruiter experience for Korean enterprises to drive adoption.
Result
Reduced average hiring time by 35%
Increased recruiter efficiency with 50% faster candidate shortlisting
Improved candidate-job match quality by 40%, leading to higher retention in early hiring cycles
Expanded global reach for Korean enterprises hiring tech talent
Takeaway
AI-driven recommendations enhance recruiter efficiency in global hiring.
Localization is key to driving adoption in region-specific markets.
Scalable SaaS workflows enable enterprises to adapt as hiring needs grow.
Feel free to reach out if you have any comments or thoughts.
