Overview
Know where you belong!
Full job description
Know where you belong!
Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.
When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week.
At Match Group, our mission is to spark meaningful connections for every single person worldwide. Across our portfolio of trusted brands, we help millions of people discover, connect, date, and build relationships in ways that reflect their identities, intentions, cultures, and communities. We work together to solve complex problems at the intersection of human connection, behavioral science, network economics, AI and ML, safety, privacy, cultural nuance, loneliness, love, sex, and relationships. As the world’s leading portfolio of dating products, Match Group has a unique opportunity to imagine what comes next for dating — including how emerging technologies can help people feel more understood, more intentional, and more confident as they connect. The Team Match Group is building an internal incubation focused on AI-powered dating experiences to redefine the category. Dating is a deeply human experience, but many of today’s products were built before AI could understand context, intent, nuance, and feedback at scale. We believe there is an opportunity to rethink parts of the dating experience from first principles, combining strong consumer product craft with AI-native systems that help people connect with more confidence, clarity, and trust. This team will operate like a small startup inside Match Group. We are moving from product hypothesis to prototype to pilot, with the goal of learning quickly from real users and identifying whether there is a new product opportunity that can scale.
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