Senior Product Manager (Catalog)

Role overview

Join SeatGeek as a Senior Product Manager (Catalog). You will own the vision and strategy for SeatGeek’s Catalog, a foundational data layer that defines what exists across the platform.

Key missions

• Own Catalog vision and strategy, ensuring the catalog is accurate, complete, and fresh.
• Raise the bar on catalog coverage and freshness by getting new events and onsales live faster, closing inventory gaps, and reducing errors.
• Partner cross-functionally (Operations, Marketplace, Analytics) to design tooling and processes for catalog data ingestion and maintenance at scale.
• Define metrics for catalog health and advocate for Catalog across the company.

Responsibilities

• Build and evolve the catalog ingestion/maintenance system, including processes and tooling.
• Establish and monitor quality metrics (e.g., coverage, freshness, error rates) and use analytics to drive decisions.
• Lead cross-functional efforts to improve catalog quality and operational workflows.

Requirements

• Strong fluency with data: define quality metrics, use analytics, and partner with analysts for evidence-based decisions.
• Experience owning foundational data / catalog / platform products where accuracy, completeness, and freshness are core.
• Based on the East Coast, with preference for New York City.
• Excellent communication and storytelling skills; comfortable prototyping with tools like Claude and Figma (and similar).
• Strong customer empathy (including internal operators and downstream teams).
• Ability to operate in complex, ambiguous domains and turn messy real-world problems into scalable systems.
• Proven ability to lead cross-functional teams with urgency and clarity.
• 8+ years of product management experience shipping impactful products at scale.

Nice-to-haves

• Experience in marketplace, ticketing, or data-intensive domains where high-quality catalogs/knowledge graphs are competitive advantages.
• Experience partnering with Operations to design internal tooling/workflows.
• Experience with products using ML/AI for automation (e.g., data ingestion, entity matching, content enrichment).