Product Manager (Match Group AI)

About the role

Join the central technology hub for Match Group, where you will develop AI solutions that scale across global platforms like Tinder, Hinge, and Azar. You will manage the product lifecycle for machine learning initiatives, bridging the gap between high-level business goals and technical execution.

Key facts

What you'll do

• Identify and prioritize high-impact problems, translating them into clear objectives for engineering teams.
• Create product roadmaps, manage trade-offs, and draft product requirement documents while maintaining stakeholder alignment.
• Serve as the primary link between Match Group brands and the AI engineering department, navigating organizational dynamics across different time zones and cultures.
• Lead project execution by utilizing data, experiments, and research to resolve bottlenecks and guide decision-making.

Requirements

• 4 to 6 years of product management experience within the technology sector, preferably involving data-heavy or machine learning products.
• Exceptional communication skills with a proven ability to manage stakeholders and build consensus in ambiguous environments.
• Native-level fluency in Korean for professional collaboration and business-level fluency in English for international discussions.
• A strong sense of ownership and the ability to drive projects to completion independently.
• Analytical proficiency, including the ability to define metrics and interpret A/B test results.
• Availability to work flexible hours to accommodate regular meetings with US-based teams in EST and PST time zones.
• A commitment to rapid technical learning to understand AI model behaviors and trade-offs.

Nice to have

• Experience with machine learning lifecycles, including recommendation engines, search, ranking, or trust and safety systems.
• Background in building matching products, such as social feeds, marketplaces, or dating apps.
• Experience working in internal platform or B2B2C product environments.
• Demonstrated use of AI tools like Claude, ChatGPT, or Cursor to improve product development workflows.
• History of collaborating within globally distributed organizations.

Skills & tools

• Machine Learning (lifecycle, data, online testing)
• Product Strategy
• Stakeholder Management
• Data Analysis
• Cross-cultural Communication

Practical notes

• This role requires frequent early morning syncs with US teams.
• Proficiency in both Korean and English is mandatory.