Principal Product Manager, Matching & Recommendations

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