Responsibilities Lead the definition of the card recommendation and matching algorithm direction for Azar, and build and launch products together with various teams including Engineering, ML, Design, and Data. Directly analyze diverse data to derive hypotheses for improving recommendation quality, and lead the entire process of designing, running, analyzing, and reporting A/B tests. Define KPIs for the recommendation system, track and monitor them with an ownership mindset, and when issues arise, quickly identify root causes, devise solutions, and execute them.
Requirements 3+ years of experience as a data- or technology-focused Product Manager, or equivalent experience Experience collaborating cross-functionally with teams such as Engineering, Data, and Design to launch new features Experience enhancing highly complex algorithm-based products such as recommendation, search, and ranking Experience directly designing and running A/B tests at a large user base, and interpreting results based on statistical methodology to inform decision-making Experience with data exploration using SQL and other tools, and data processing and visualization using Python and other tools
Preferred Qualifications Ability to communicate smoothly in English in cross-functional settings (writing documents and participating in meetings) Understanding of the ML model development cycle and experience collaborating with ML engineers and data scientists Active user of AI tools in your work
Hiring Process Employment type: Full-time Hiring process: Document screening > Pre-recorded video interview > Recruiter call > 1st interview > 2nd interview > Final offer (* The process may be added to or changed as needed.) Required documents: Free-format detailed career-based resume in Korean or English (PDF)
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