Senior Product Manager, Recommendations

In this role, you will:

• Develop detailed specifications for large-scale ML/AI driven recommendations features critical to the business, guiding teams through the development process while considering the broader strategic implications of each feature.
• Partner closely with Engineering, Product and Data Science to improve Tinder recommendations.
• Understand markets, ecosystem effects, and user requirements in depth.
• Evaluate and communicate tradeoffs between user engagement and revenue impact to guide product and model decisions in the recommendations ecosystem, ensuring alignment with Tinder’s broader business goals.
• Launch new products and features, test their performance, and iterate quickly.
• Communicate effectively with the broader product team, cross-functional partners, and senior leadership. Clearly articulate project requirements, deadlines, deliverables, and impact for critical initiatives, and achieve stakeholder buy-in.
• Represent the company’s culture and values, and drive inclusivity across teams.
• Utilize data insights and voice of the customer to drive product decisions.

You’ll need:

• 3-5 years of experience in product management or a related technical role.
• A strong analytical mindset with a proven ability to structure ambiguous problems, formulate hypotheses, design and interpret experiments, and drive clear-eyed, data-informed decisions.
• Background in recommendation systems or related ML/AI systems, ensuring user-centric outcomes and maintaining high standards of business impact.
• Demonstrated leadership experience working effectively with cross-functional teams of product managers, engineers, data scientists, and ML practitioners.
• Skills in deconstructing complex product visions into clear, actionable strategic steps, and crafting product roadmaps that align with company objectives.
• Strong written and verbal communications skills for sharing project requirements and strategic insights with cross-functional teams and leadership.
• Ability to guide decisions on whether to optimize existing features or develop new solutions, with strong skills in risk identification and management across a broad product portfolio.

Nice to have:

• Experience working on optimizing multi-sided marketplaces.
• Degree in computer science or data science.

As a full-time employee, you’ll enjoy:

• Unlimited PTO (with no waiting period), 10 annual Wellness Days
• Time off to volunteer and charitable donations matched up to $15,000 annually
• Comprehensive health, vision, and dental coverage
• 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
• 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
• Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
• Investment in your wellness: access to mental health support via Modern Health, pet insurance, fitness membership subsidy, and commuter subsidy
• Free premium subscriptions for several Match Group apps – including Tinder Platinum!

Commitment to Inclusion