Bumble Inc.

Principal Product Manager, Matching & Recommendations

Bumble Inc.

full-time

Posted on:

Location Type: Hybrid

Location: Austin • Texas • United States

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Job Level

Lead

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
product managementrecommendation systemsranking algorithmspersonalisation modelsmachine learningA/B testingdata analysissuccess metricsexperimentation frameworksagile methodology
Soft Skills
analytical skillscollaborationownershipinfluenceadaptabilitycuriositycourageinclusive thinkinguser-centric focuscross-functional alignment