Responsibilities Lead the definition of Azar's card recommendation and matching algorithm strategy, and collaborate with various teams including Engineering, ML, Design, and Data to build and launch products. Directly analyze diverse 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 develop 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 Engineering, Data, and Design teams. Experience enhancing algorithm-based products with high complexity, such as recommendation, search, or ranking systems. Experience designing and executing A/B tests for a large user base, and interpreting results based on statistical methodologies to drive decision-making. Experience in data exploration using SQL and data processing/visualization using tools like Python.
Preferred Qualifications Ability to communicate fluently in English for cross-functional collaboration (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 work experience in free format (PDF) in Korean or English.
If any false information is found in the submitted documents or if there are grounds for disqualification under relevant laws, the offer may be rescinded. Additional screening or document verification may be conducted beyond the pre-announced process if necessary. National veterans are given preference in accordance with relevant laws; please notify us upon application if applicable and submit supporting documents upon hiring. When applying for a position at Hyperconnect, this Privacy Policy applies to the processing of personal information: https://career.hyperconnect.com/privacy
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