Senior Product Manager, Recommendations
Summary
Senior Product Manager at Hinge owns the dating app’s recommendation engine, shaping how millions of users find matches by improving personalization and fairness through data science and ML collaboration.
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.
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.
Responsibilities
- Own core recs improvements, end to end. Take defined areas from problem to shipped result, and move core user and business metrics.
- Make the algorithm feel personal. Partner with data science and ML to improve how we rank and personalize, making the calls on inputs, ranking logic, and experience.
- Turn ambiguity into a roadmap. Decide what matters most, sequence the work, make the tradeoffs, and keep partners aligned as things change.
- Decide with evidence. Use experiments, behavioral data, and research to guide your calls when the signals are imperfect.
- Bring people along. Communicate your plan and results clearly — whether to an engineer in standup or a leader in a review.
- Protect trust. Recommendations shape who gets seen. Keep the system fair, safe, and true to Hinge's values.
What We'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).
- Curiosity about dating and the human side of product development, and an interest in the fairness, ethics, and inclusivity of algorithmic systems.
- A point of view on how AI tools can raise the quality and speed of product work.
Skills
As published by lever · 9 questions · 2 written answers
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio URL, Other website, I identify my ethnicity asSelect all that apply, What gender do you most closely identify as?, Do you identify as part of the LGBTQIA+ community?
Pick from a list (7)
- Will you require a reasonable accommodation to complete the hiring process which may include technical testing, virtual and in-person style interviews? optional
- Are you located in the NYC area?
- If you answered no to the above question, are you open to relocating?
- Are you willing to come into the NYC office during the week (3 days) according to our hybrid policy?
- Are you authorized to work in the United States?
- Will you now or in the future require our company to file a petition or application for employment - based immigration status on your behalf to begin or continue employment with our company? If you currently have nonimmigrant status, for example F-1 or H-1, your answer to this question should be "yes." optional
- Have you led a product that used machine learning or personalization to influence what users saw or experienced?
Written answers (2)
- What are your pronouns? optional
- If yes, briefly describe what the system did and your role in shaping it (1–2 sentences). If no, please put N/A.