Senior Product Manager (Recommendations)

Join Hinge, the dating app designed to be deleted. As a Senior Product Manager for Recommendations, you'll play a crucial role in shaping the user experience for millions of daters. You'll work at the intersection of machine learning and human connection, collaborating with data science, engineering, design, and research. Your responsibilities will include owning core recommendations improvements, personalizing the algorithm, turning ambiguity into a roadmap, making data-driven decisions, communicating your plan and results clearly, and protecting user trust. Hinge offers a hybrid work environment, competitive benefits, and a focus on professional growth and community service.

• Posséder des améliorations des recommandations, de bout en bout. Prendre des domaines définis du problème au résultat expédié et faire évoluer les indicateurs clés d'utilisation et d'entreprise.
• Collaborer avec les équipes de science des données et d'apprentissage automatique pour améliorer la façon dont nous classons et personnalisons les recommandations.
• Utiliser des expériences, des données comportementales et des recherches pour guider vos décisions lorsque les signaux sont imparfaits.
• Comfort with ambiguity and making principled calls in high-impact spaces
• 4+ years of product management experience, ideally on personalization, recommendations, ranking, or other ML-powered consumer products
• Strong communication skills, especially translating complex ideas for non-technical audiences
• A point of view on how AI tools can raise the quality and speed of product work
• A track record of owning a product area end to end and driving measurable improvements to core user outcomes at scale
• Experience with products that match people or content (e.g., dating, marketplaces, social feeds, or hiring)
• Curiosity about dating and the human side of product development, and an interest in the fairness, ethics, and inclusivity of algorithmic systems
• 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