Hybrid Principal Product Manager, Matching & Recommendations

at Bumble Inc.

• Job title: Principal Product Manager, Matching & Recommendations
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Location requirements: Hybrid, Austin, United States

About the role

• Principal Product Manager driving product vision and strategy for matching and recommendations at Bumble. Collaborating with cross-functional teams to enhance user engagement and trust.

Responsibilities

• Define and drive the long-term product vision and strategy for Matching & Recommendations, aligning with company-wide goals and delivering measurable impact on engagement, quality of matches, and user trust
• Lead the development of scalable recommendation systems, including ranking algorithms, personalisation models, and relevance optimisation
• Partner closely with Data Science and Engineering to design, ship, and iterate on machine learning-powered features, embedding AI into core product experiences in a thoughtful and responsible way
• Own experimentation strategy end-to-end, including hypothesis development, A/B testing at scale, and translating insights into product decisions
• Use data fluently to identify opportunities, define success metrics (e.g. match quality, retention, conversion), and guide prioritisation across complex problem spaces
• Collaborate cross-functionally with Trust & Safety to ensure recommendations are safe, inclusive, and aligned with Bumble’s values of Respect and Excellence
• Take ownership of delivery across multiple teams, working collaboratively and adapting plans with an agile mindset to drive outcomes in a fast-moving environment
• Influence senior stakeholders and align cross-functional teams around a shared vision, seeing initiatives through from insight to impact

Requirements

• Deep experience in product management within consumer technology, ideally working on personalisation, discovery, or recommendation systems
• Strong understanding of machine learning concepts and their application in product development (e.g. ranking systems, recommendation models, experimentation frameworks)
• Proven track record of leading complex, high-impact product areas with significant autonomy and cross-functional influence
• Exceptional analytical skills, with experience using data to inform decisions, define metrics, and evaluate product performance at scale
• Ability to collaborate with purpose across engineering, data science, and design, while taking ownership of outcomes and driving alignment across stakeholders
• Demonstrated agile mindset—comfortable navigating ambiguity, iterating quickly, and continuously improving products and processes
• Role model Bumble values such as Curiosity and Courage, bringing thoughtful challenge, inclusive thinking, and a commitment to building respectful, user-centric experiences
• Typically requires 12–15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
• Strong AI fluency, with the ability to independently leverage AI tools and partner with technical teams to shape AI-powered product experiences, while considering ethics, bias, and user impact