Overview As Staff Product Manager for Personalization, you own the strategy and roadmap for ranking, taste understanding, and predictive signals that drive personalized fan experiences across Search, Discovery and CRM. You partner with ML, data, design and growth to improve repeat purchases and lifetime value. You tackle time-sensitive inventory and evolving fan interests to deliver timely, relevant recommendations. You lead cross-functional collaboration, experiment-driven decision making, and scale a shared personalization platform in a global live-events context. Compensation / BenefitsAccelerated Growth EnvironmentTop Tier Compensation PackageFlexible Time OffComprehensive Benefits Package401kHealth, Vision, and Dental Insurance ResponsibilitiesOwn the personalization strategy and multi-year roadmaps for ranking, taste modeling, and prediction.Define model objectives, signals, evaluation criteria and balance relevance with freshness, price, availability, and business needs.Build a unified personalization system across Search, Discovery and CRM so teams share a common fan understanding.Own the taste and intent model: signals, decay, profile formation, and keeping it current with events and playoffs.Lead predictive lifecycle signals and collaborate with CRM and Growth to translate signals into actionable interventions.Design experiments and holdouts to measure personalization impact on repeat purchase, frequency and lifetime value.Develop fluency in models, features, pipelines and serving architectures; communicate with ML and data teams.Advocate for platform adoption, reduce integration friction, and align multiple teams around shared capabilities.Present strategy and results to executives and non-technical audiences; translate model behavior into clear terms. Key requirements8+ years in product management for consumer web or mobile products with at least 3 years in recommendations, ranking or personalization.Experience shipping ML-powered experiences at consumer scale with demonstrated business impact.Proven ability to increase lifetime value: repeat purchase, retention or frequency improvements and knowledge of levers.Technical depth in recommendation/ranking, user modeling and data infrastructure; ability to discuss models and trade-offs with engineers and scientists.Platform mindset with prior ownership of shared systems or internal-facing capabilities.Strong sense for user-centric recommendations and awareness of failure modes like filter bubbles, cold start, staleness.Excellent communication skills to present to executives and non-technical audiences.Organizational skills to run multiple workstreams in ambiguity and across competing priorities.Domain experience in live events, ticketing, travel, marketplaces or time-limited inventory is a plus.strong communicationcollaborationability to navigate ambiguityrecommendation and ranking systemsuser modelingdata infrastructure
Not specified in the original listing.
Not specified in the original listing.
