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

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

Principal Product Manager, Matching & Recommendations

Key skills