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Product Manager (Match Group AI)

matchgroup · Seoul
Full-timeCoreTechnology$111,000–$150,000/yr
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About the Product Manager role

Product Manager positions focus on delivering results in their domain. This page aggregates open Product Manager roles and what employers typically expect.

Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc. Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to bring cutting-edge AI to unblock the challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement). Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) Working as a Product Manager at MG AI While engineers focus on building and shipping models, Product Managers at MG AI own the why and the what. We translate complex, often ambiguous business challenges from Match Group's brands into clear ML product strategy, and we drive execution across a globally distributed team. The PMs who thrive here are strategic troubleshooters with a bias for action: they spot what is blocking progress and drive it to resolution instead of waiting. This is a communication-first role, but that does not mean coordination alone. Your core job is to figure out which problem is worth solving, articulate it in clear and precise language, and drive alignment among a diverse set of stakeholders across cultures and time zones. You own the product thinking end to end: framing the problem, shaping the plan, and defining what we build. You will work on projects that leverage a wide range of technologies, from on-device ML modules to server-side AI models and LLMs. You do not need to be an ML expert on day one, but you must learn fast and become technically fluent enough to make sound product calls, because the technology and the problems keep changing.

Salary estimate

$111,000 – $150,000/yr
Provided by the employer.

Skills for this role

SparkCommunication

Resume tips for Product Manager applicants

Interview preparation

Prepare concrete STAR-format stories that show Product Manager outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical Product Manager problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About matchgroup

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