About the role
Every match on Hinge starts with a decision from our recommender: Who should we show you today? Done right, the app feels like it gets you; done wrong, it feels random. This role owns that decision for millions of daters.
What they're looking for
- 4+ years of product management experience, ideally on personalization, recommendations, ranking, or other ML-powered consumer products
- A track record of owning a product area end to end and driving measurable improvements to core user outcomes at scale
- Comfort partnering closely with data science, ML, and engineering — technically fluent enough to shape direction on model inputs, ranking, and tradeoffs without needing to be deeply technical
- Strong communication skills, especially translating complex ideas for non-technical audiences
- Comfort with ambiguity and making principled calls in high-impact spaces
- Experience with products that match people or content (e.g., dating, marketplaces, social feeds, or hiring)
More about this role
Hinge is the dating app designed to be deleted
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
Every match on Hinge starts with a decision from our recommender: Who should we show you today? Done right, the app feels like it gets you; done wrong, it feels random. This role owns that decision for millions of daters.
As Senior Product Manager on Recommendations, you'll take on challenges like how we welcome new users, how we ensure our recommendations are equitable for all, or how we help people explore as they are figuring things out, and turn them into improvements daters can actually feel. It's hands-on work at the intersection of machine learning and human connection, built shoulder-to-shoulder with data science, ML, engineering, design, and research.
- Own core recs improvements, end to end. Take defined...
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