Senior Product Manager, Recommendations

Match Group; New York (NY); On-site; USD 167,000 - 205,000; Full time

Benefits offered by this job

401(k) Matching

Growth stipend and Udemy access

Parental Leave & Planning

Fertility Support

Date Stipend

Job summary

Hinge is seeking a Senior Product Manager for Recommendations to own how users see matches and improve ranking with data science and ML collaboration.

Work at the intersection of machine learning and human connection, partnering with engineering, design, and research to ship impactful improvements at scale.

Qualifications

• 4+ years of product management, ideally on personalization, recommendations, ranking, or ML-powered products.

Responsibilities

• Own core recs improvements end-to-end.
• Make the algorithm feel personal by partnering with DS/ML and engineering.
• Turn ambiguity into a roadmap with prioritized work and tradeoffs.
• Decide with evidence using experiments, data, and user research.
• Communicate plan and results clearly to engineers and leaders.
• Protect trust by keeping recommendations fair, safe, and aligned with company values.

Skills

Product management

Personalization

ML & ranking

Cross-functional collaboration

Communication

Dating/product experience

AI tools perspective

Job description

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.

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.

Benefits

• 401(k) Matching: We match 100% of the first 10% of pre‑tax 401(k) contributions you make, up to a maximum of $10,000 per year.
• Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
• Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non‑birth parents.)
• Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.
• Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.

Salary
$167,000 - $205,000 a year

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 a position based in New York City. This salary will 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.

Hinge is an equal‑opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.

If you require reasonable accommodation to complete a job application, pre‑employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.