Match Group

Product Manager (Azar, Recommendation)

Seoul, South KoreaPosted 3 months agofulltime
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What you'd do

  • Lead Azar card recommendation and matching algorithm direction with cross-functional teams.
  • Analyze data to form recommendation hypotheses and lead full A/B test cycles.
  • Own recommendation KPIs,monitor issues,and drive root-cause fixes quickly.

What they want

  • Three plus years as data or technology focused product manager or equivalent.
  • Shipped new features through cross functional work with engineering,data,and design.
  • Advanced algorithm products such as recommendation,search,or ranking systems.

Nice to have

  • Communicate fluently in English for cross functional documentation and meetings.
  • Understand ML development cycles and collaborate with ML engineers and data scientists.
  • Use AI tools actively in daily product management work.

Seoulstart's read

Visa tier (likely)
F-2 / F-4 / F-5 / F-6 holders welcome
Korean language
Korean not required
English friendliness
Medium: English JD, mixed-language workplace
Context
Match Group Seoul office on Azar recommendation; English helps cross-functional work,but the JD and process are Korean-first.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

Original posting from Match Group

Responsibilities

  • 아자르의 카드 추천 및 매칭 알고리즘 방향을 주도적으로 정의하고, Engineering·ML·Design·Data 등 다양한 팀과 함께 제품을 만들어 출시합니다.
  • 다양한 데이터를 직접 분석하여 추천 품질 개선 가설을 도출하고, A/B 테스트를 설계·실행·분석·보고하는 전 과정을 리딩합니다.
  • 추천 시스템 KPI를 정의하고 주인의식을 가지고 추적 관찰하며, 이슈 발생 시 빠르게 원인을 파악하고 해결책을 도출하여 실행합니다.

Requirements

  • 데이터 또는 기술 중심의 Product Manager로 3년 이상 경력, 또는 이에 준하는 경험
  • Engineering, Data, Design 등 다양한 팀과 cross-functional하게 협업하여 신기능을 출시한 경험
  • 복잡성이 높은 추천, 검색, 랭킹 등 알고리즘 기반 제품을 고도화한 경험
  • 대규모 사용자 기반에서 A/B 테스트를 직접 설계·실행하고, 통계적 방법론을 기반으로 결과를 해석 및 의사결정에 활용한 경험
  • SQL 등을 활용한 데이터 탐색과 Python 등의 도구를 활용한 데이터 가공·시각화 경험

Preferred Qualifications

  • 영어로 원활한 cross-functional 커뮤니케이션이 가능한 분 (문서 작성 및 미팅 참여)
  • ML 모델 개발 사이클에 대한 이해 및 ML 엔지니어·데이터 사이언티스트와의 협업 경험
  • AI 도구를 업무에 적극적으로 활용하는 분

Hiring Process

  • 고용 형태: 정규직
  • 채용 절차: 서류전형 > 사전 화상 인터뷰 > Recruiter Call > 1차 면접 > 2차 면접 > 최종합격 (* 필요 시 전형이 추가/변경 진행될 수 있습니다.)
  • 지원 서류: 자유 양식의 상세 경력기반 국문 또는 영문이력서(PDF)

Rent near this job

Seoul (서울특별시)

Officetel, about 24 m²
₩700,000 a month · ₩20m deposit
Apartment, about 50 m²
₩900,000 a month · ₩100m deposit

Median rent on leases reported to the Ministry of Land, Infrastructure and Transport (국토교통부), September 2026.

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