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하하이퍼커넥트
Seoul, South Korea4 months ago
Grade
Middle
Experience
from 3 years
Work format
Hybrid
Employment
Full-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
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.
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.
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.
Employment Type: Full-time
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).
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