Staff Product Manager — Personalization & Fan Insights

StubHub

New York (NY)

Hybrid

USD 270,000 - 325,000

Full time

2 days ago
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Benefits offered by this job

Accelerated Growth Environment
Top Tier Compensation Package
Flexible Time Off
Comprehensive Benefits Package

Job summary

StubHub is seeking a Staff Product Manager for Personalization to own the strategy and roadmap across ranking, taste understanding, and predictive signals for the consumer product. You will partner with Search, Discovery, and CRM to infuse capabilities into experiences and drive repeat purchase and lifetime value.

You will lead cross-functional work with ML engineers, data scientists and backend engineers, shaping a durable personalization platform used across surfaces and channels, and you will

Qualifications

  • 8+ years in product management on consumer web or mobile products.
  • Shipped ML-powered experiences at consumer scale and can explain the incremental business results.
  • Experience with recommendations, ranking or personalization systems.

Responsibilities

  • Own the personalization strategy and multi-year roadmap for ranking, taste modeling and prediction.
  • Define principles for a personalized StubHub experience across surfaces and visitors.
  • Build a single shared system for search, discovery and CRM to serve multiple surfaces.
  • Turn fan understanding into a durable asset with measurable incremental impact.
  • Lead the technical conversation around models, features and pipelines; mentor other PMs.

Skills

Product management
Personalization
Recommendations
Ranking
Data-driven
Cross-functional collaboration
Experimentation

Job description

StubHub is seeking a Staff Product Manager for Personalization to own the strategy and roadmap across ranking, taste understanding, and predictive signals for the consumer product. You will partner with Search, Discovery, and CRM to infuse capabilities into experiences and drive repeat purchase and lifetime value.

You will lead cross-functional work with ML engineers, data scientists and backend engineers, shaping a durable personalization platform used across surfaces and channels, and you will

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