Responsibilities Lead the definition of Azar's card recommendation and matching algorithm direction, and build and launch products in collaboration with various teams including Engineering, ML, Design, and Data. Directly analyze various data to derive hypotheses for improving recommendation quality, and lead the entire process of designing, executing, analyzing, and reporting A/B tests. Define recommendation system KPIs and track them with a sense of ownership; identify root causes quickly when issues arise, and derive and execute solutions.
Requirements 3+ years of experience as a data or technology-focused Product Manager, or equivalent experience. Experience launching new features by collaborating cross-functionally with teams such as Engineering, Data, and Design. Experience enhancing algorithm-based products with high complexity, such as recommendations, search, or ranking. Experience directly designing and executing A/B tests in a large-scale user base, and interpreting results based on statistical methodology to drive decision-making. Experience in data exploration using SQL and data processing/visualization using tools like Python.
Preferred Qualifications Ability to communicate cross-functionally in English (document writing and meeting participation). Understanding of the ML model development cycle and experience collaborating with ML Engineers and Data Scientists. Proactive use of AI tools in daily work.
Hiring Process Employment Type: Full-time Recruitment Process: Document Screening > Preliminary Video Interview > Recruiter Call > 1st Interview > 2nd Interview > Final Offer (* The process may be added/changed if necessary.) Application Documents: Detailed resume based on experience in free format (PDF) in Korean or English.
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