Staff Product Manager - Personalization

Quick Facts

• Staff Product Manager role focused on Personalization for a consumer live-events marketplace
• Own shared ranking, fan understanding (taste/intent), and predictive lifecycle signals
• Partners with Search, Discovery, and CRM teams; measures impact on repeat purchase, frequency, and lifetime value

Description

You will lead the personalization strategy and multi-year roadmap for shared ranking, fan understanding, and predictive capabilities. You’ll define model objectives, signals, evaluation criteria, and personalization principles to deliver timely, relevant recommendations. You will also run experimentation to prove incremental impact on business outcomes.

Responsibilities

• Own personalization strategy and a multi-year plan for ranking, taste modeling, and predictions
• Define what personalized StubHub feels like (familiar vs. new, first-time visitor treatment, freshness as events sell out)
• Build one shared system that serves Search, Discovery, and CRM flows
• Own the taste and intent model: signals, weighting, decay/freshness, coverage growth, and how teams access it
• Prove incremental impact using experiments and holdouts tied to repeat purchase, frequency, and lifetime value
• Lead the technical conversation with fluency in models, features, pipelines, and serving architecture
• Enable other teams to adopt what you build by reducing integration friction and earning trust
• Communicate strategy, results, and trade-offs to executives; explain model behavior in plain terms
• Mentor PMs on experiment design and working with ML teams/data-informed prioritization

Requirements

• 8+ years in product management on consumer web or native mobile products
• At least 3 years owning recommendations, ranking, or personalization systems
• Shipped ML-powered consumer experiences at scale and can explain incremental business results
• Proven ability to move repeat purchase, retention, or frequency in a consumer business
• Track record of holdouts and experiments that isolate incremental effects
• Working knowledge of recommendation/ranking systems, user modeling, and personalization data infrastructure
• Ability to balance multiple product teams and prioritize shared platform value
• Excellent written and verbal communication with executives and non-technical audiences

Benefits

• Accelerated growth environment to lead high-scale experiments and tests
• Competitive compensation package with base, equity, and upside
• Unlimited Flex Time Off
• Comprehensive benefits package including 401(k) and premium Health, Vision, and Dental insurance
• Anticipated gross base pay range: $270,000–$325,000 USD