Hiring: Senior Product Manager, Catalog Company: SeatGeek Location: New York, NY Job Posted Time: 2026-09-10 12:12:18 Target Skills & Keywords : .NET, AWS, Android, C#, Design System, Elasticsearch, Event-Driven, Figma, Git, GitLab, Kafka, Machine Learning, Next.js, OAuth2, PostgreSQL, Product Management, Python, R, REST, RabbitMQ, Redis, Swift, TypeScript, iOS About the job Experience: •5+ years of relevant product management experience with a strong track record shipping impactful products at scale, ideally in marketplace, platform, or data-intensive contexts Required Skills: •Own the vision and strategy for SeatGeek's Catalog and define how we build the most accurate, complete, and fresh representation of the live event world in the industry •Raise the bar on catalog coverage and freshness: get new events and onsales live faster, close inventory and matching gaps, and reduce the errors and staleness that erode fan trust and downstream conversion •Blend user, data, and domain knowledge to identify where better catalog data can redefine the fan experience (think seat features, views, maps, and enriched event content) and where it unblocks partner and operations workflows •Partner closely with operations and marketplace teams to design tooling and processes that let SeatGeek ingest and maintain catalog data at scale •Partner with analytics to define the metrics that matter for catalog health — coverage, freshness, accuracy, match rate — and build the dashboards and monitoring to hold the platform accountable to them •Advocate for and act as an ambassador to the rest of the company for Catalog, evangelizing work and celebrating wins; collaborate with PMs across the entire shopping funnel and post-purchase experience on dependencies and shared opportunities •Stay ahead of where AI, machine learning, and emerging technology can automate ingestion, improve matching, and enrich our representation of the live event experience •Provide mentorship to junior product team members and contribute to enhancing our product team culture and best practices Qualifications: •Comfort operating in complex, ambiguous problem spaces: you can take a messy real-world domain and design systems and processes that make it structured, scalable, and trustworthy •A strong fluency with data: you're equally at home defining quality metrics, diving into analytics, and partnering with analysts to get the insights you need to make decisions from evidence rather than assumption •Strong customer empathy and a tasteful product eye, even when the "customer" is often an internal operator or a downstream team •Excellent communication and storytelling skills, with proficiency in modern prototyping tools like Claude, Figma Make, Loveable, or similar to communicate ideas effectively to cross-functional partners •Proven ability to lead cross-functional teams toward ambitious goals with urgency and clarity •A demonstrated curiosity in new technologies and how they can solve user problems in new ways •Ideally, experience with products that leverage machine learning or AI to automate data ingestion, entity matching, or content enrichment at scale •Ideally, experience with marketplace or ticketing products, or other domains where a high-quality catalog or knowledge graph is a core competitive advantage •Demonstrated capacity to work East Coast hours (10am-5pm ET) with occasional early starts around 9am ET •You absolutely do not need experience with all of these, but we thought you might be curious. Tools can be learned, so we care much more about your general engineering skill than knowledge of a particular language. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!