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Warner Bros. Discovery

Principal Product Manager

Warner Bros. Discovery

Principal Product Manager leading the development of user experiences across Bleacher Report’s digital platforms. Shaping fan engagement with a strong focus on sports content discovery and navigation.

Posted 6/13/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $148,400 - $275,600 per yearWebsite

About the role

Key responsibilities & impact
  • Define and champion a bold, fan-centered product vision for how next-generation UX, seamless customer journeys, and intelligent content discovery will set Bleacher Report apart as the definitive sports destination.
  • Own the end-to-end product roadmap for navigation, search, and content discovery—delivering features that help fans find what they love faster, follow their teams deeper, and never miss a moment.
  • Redesign and optimize fan customer journeys from first launch through long-term loyalty—spanning onboarding, team/player following, personalized feeds, push engagement, and re-activation.
  • Lead a step-change improvement in search experience—including real-time sports query understanding, entity recognition (teams, players, games, scores), and contextually ranked results that serve fans in the moment.
  • Define and execute a content discovery strategy powered by AI/ML—including algorithmic feeds, trending content surfaces, related content modules, and cross-sport exploration pathways.
  • Partner with design to raise the bar on navigation architecture and information hierarchy, ensuring every surface—home, team pages, live coverage, and video—is intuitive and conversion-optimized.
  • Collaborate across functions as a connective force between editorial, engineering, design, data science, growth, and business development teams.
  • Translate fan research, behavioral data, and technical possibilities into crisp, actionable product requirements that balance innovation, feasibility, and measurable fan value.
  • Define success metrics and experimentation frameworks—driving a rigorous test-and-learn culture across engagement, retention, session depth, and discovery effectiveness.
  • Serve as a thought leader on responsible personalization—ensuring algorithmic systems respect fan trust, avoid filter bubbles, and uphold editorial integrity.

Requirements

What you’ll need
  • 10+ years in product management with a track record of shipping high-impact, consumer-facing digital products at scale.
  • Demonstrated impact in UX/navigation strategy, search product management, content discovery/recommendation systems, and personalized customer journey design.
  • Hands-on experience with search, AI Assistants, and/or ML-driven recommendation systems; ability to go deep with engineering and data science partners.
  • Strong fluency in AI/ML fundamentals—including LLMs, embedding models, ranking systems, and experimentation frameworks—applied to consumer product experiences.
  • Proven ability to lead through influence in cross-functional environments with competing priorities and stakeholder perspectives.
  • Exceptional communication skills: able to translate fan insights, data findings, and technical concepts into compelling narratives for executives, partners, and product teams.
  • Deep empathy for sports fans—you understand the emotional intensity of fandom and can translate that passion into product decisions that drive real loyalty.
  • Experience with mobile-first, high-velocity media or entertainment products; background in sports, gaming, or fan-centric platforms is a strong plus.
  • Comfort with ambiguity and the ability to move fast—balancing long-term strategic vision with hands-on execution in a dynamic, high-growth environment.

Benefits

Comp & perks
  • health insurance coverage
  • an employee wellness program
  • life and disability insurance
  • a retirement savings plan
  • paid holidays and sick time
  • vacation

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Hard Skills & Tools
product managementUX strategynavigation strategysearch product managementcontent discovery systemspersonalized customer journey designAI fundamentalsML-driven recommendation systemsexperiment frameworksdata analysis
Soft Skills
leadershipcommunicationcollaborationempathyinfluenceadaptabilityproblem-solvingnarrative translationstakeholder managementcustomer-centric thinking