Product Manager (Azar, Recommendation)

Responsibilities Proactively define the direction of recommendation and matching algorithms for Azar and create and launch products collaboratively with various teams such as Engineering, ML, Design, Data. Independently analyze various data to form hypotheses for improving recommendation quality, and manage the entire process of designing, conducting, analyzing, and reporting on A/B tests. Define the KPIs for the recommendation system, track them with full responsibility, and in case of problems, quickly identify the causes and develop and implement solutions. Requirements 3+ years of experience as a Product Manager with a focus on data or technology, or equivalent experience. Experience in cross-functional collaboration with various teams such as Engineering, Data, Design, to launch new features. Experience in improving algorithm-based products such as complex recommendations, search, ranking. Experience in independently designing and conducting A/B tests on a large user base, as well as interpreting results based on statistical methodologies and using them for decision-making. Experience in data exploration using SQL and similar tools, as well as data processing and visualization using Python and similar tools. Preferred Qualifications Ability to communicate fluently in English in a cross-functional environment (document creation and meeting participation). Understanding of the ML model development lifecycle and experience collaborating with ML Engineers/Data Scientists. Active use of AI tools in work. Hiring Process Employment Type: Full-time Recruitment Stages: Resume Screening > Preliminary Video Interview > Recruiter Call > 1st Interview > 2nd Interview > Final Offer (*stages may be added/changed as needed). Application Documents: Resume in Korean or English with detailed work experience in free form (PDF).

If any falsehoods or circumstances preventing employment according to current legislation are found in the provided information, the hiring may be canceled. Additional selection stages and document verification may be conducted as needed beyond those previously announced. Individuals with public insurance benefits will receive preferential treatment in accordance with current legislation. Please notify us of this when applying and provide supporting documents upon hiring. This Privacy Policy for the processing of personal data applies when applying for Hyperconnect vacancies.