Staff Product Manager: Personalization & Fan Insights

StubHub; Los Angeles (CA); Hybride; USD 270 000 - 325 000; Plein temps

Résumé du poste

StubHub is seeking a Staff Product Manager to lead Personalization for our consumer product. You will own the strategy and roadmap for the shared ranking, fan understanding and predictive capabilities that power personalization across StubHub.

You will partner with Search, Discovery and CRM teams to deploy these capabilities and measure their impact on repeat purchases and lifetime value. This role demands strong cross-functional collaboration and a track record of shipping ML-powered

Qualifications

• 8+ years in product management on consumer web or mobile products.
• 3+ years owning recommendations, ranking or personalization systems.
• Shipped ML-powered experiences at consumer scale.
• Proven impact with controlled experiments.
• Technical depth in models, features and data pipelines.

Responsabilités

• Own the personalization strategy and multi-year plan.
• Define what a personalized StubHub feels like and set principles.
• Build one system that serves multiple surfaces (search, discovery, CRM).
• Turn fan understanding into a durable, actionable asset.
• Prove incremental impact via experiments and holdouts.
• Lead the technical conversation around models and serving architecture.
• Mentor PMs and drive cross-team adoption.
• Communicate strategy and results to executives.

Connaissances

Personalization at scale

Product management

Recommendations / ranking

Data-informed prioritization

Description du poste

StubHub is seeking a Staff Product Manager to lead Personalization for our consumer product. You will own the strategy and roadmap for the shared ranking, fan understanding and predictive capabilities that power personalization across StubHub.

You will partner with Search, Discovery and CRM teams to deploy these capabilities and measure their impact on repeat purchases and lifetime value. This role demands strong cross-functional collaboration and a track record of shipping ML-powered