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.

We’re looking for aFounding Full Stack Engineer, AI Incubation to be the technical owner for this initiative.

This is a hands-on, high-ownership role for a Staff/Principal-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product.

You’ll work directly on the core experiences users rely on to discover, evaluate, and build meaningful connections. You’ll identify where today’s dating experiences create friction, ambiguity, or low-quality outcomes, and rethink how AI can help create a more useful, trusted, and personalized experience.

You should be excited by zero-to-one product building: taking an ambiguous opportunity, defining the fastest path to learning, building the first version, putting it in front of users, and iterating based on real behavior.

• Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, integrations, and internal tooling.

• Design AI-powered systems that help the product understand user intent, reason about compatibility, personalize recommendations, and improve through feedback over time.

• Partner closely with product, design, and research to rapidly translate insights into prototypes, pilots, and production-ready features.

• Use frontier AI tools and modern engineering workflows to compress the path from idea to working product, while maintaining strong technical judgment around reliability, privacy, and scale.

• Instrument the product with analytics, event tracking, dashboards, and experimentation tools so the team can evaluate engagement, retention, quality, and product-market signal.

• Improve the reliability, observability, scalability, and performance of the systems and workflows you build.

• Define the early system architecture and technical roadmap, and serve as a strategic technical thought partner to Match Group leadership.

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.

This salary range is reflective of Los Angeles, California. For all other locations, this salary may be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

• Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
• Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
• Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
• Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect all of us to do the same.
• Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us.
• Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.