Senior Product Manager, Tinder

• The ideal candidate will have a technical background in machine learning and AI, product management experience, and a track record of using data-driven insights to drive impactful product improvements
• 3-5 years of experience in product management or a related technical role
• 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 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

Desirable

• We are looking for a Senior Product Manager to lead the strategy and execution for Tinder's recommendations ML/AI team
• In this critical role, you will drive the enhancement of our recommendation systems, leveraging advanced machine learning algorithms, cutting-edge AI technologies, and sophisticated user behavior modeling to deliver highly personalized experiences for our members
• You will be responsible for setting the vision, defining key metrics, and overseeing the development of innovative features that push the boundaries of personalization and engagement
• Your expertise in both strategic planning and hands-on execution will be essential in shaping the future of our recommendation systems and ensuring they meet the evolving needs of our global user base
• 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 and data science to improve Tinder recommendations
• Understand markets, ecosystem effects, and user requirements in depth
• 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