We are looking for a Lead Product Manager to own SeatGeek's Catalog - the foundational data layer that defines what exists on our platform. Every event a fan can shop, every seat they can buy, every venue map they navigate, and every attribute that makes a ticket more than a dot on a map starts here. Catalog is the ground truth that everything else - shopping, fulfillment, and eventually attending the event - is built on top of.
This is a high-leverage, deeply cross-functional role. When the catalog is accurate, complete, and fresh, fans trust what they see and every downstream experience just works. When it isn't, the cracks show up everywhere. Your mission is to make SeatGeek's understanding of the live event world the most accurate, comprehensive, and richly detailed in the industry - from getting brand-new onsales live the moment they're announced, to modeling complex venues seat-by-seat, to capturing the features and attributes that help fans find exactly the right spot.
SeatGeek is where passionate fans and ambitious builders come together to reshape live entertainment, and if you're excited to build the data foundation that powers it all, we'd love to hear from you.
What you'll do- 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
What you have- 8+ years of relevant product management experience with a strong track record shipping impactful products at scale, ideally in marketplace, platform, or data-intensive contexts
- Experience owning foundational data, catalog, or platform products where accuracy, completeness, and freshness are core to the value you deliver - and where downstream teams depend on what you build
- 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
- Experience partnering with operations teams and designing internal tooling or workflows - you understand that great catalog data is as much about process and people as it is about product
- 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
- This role requires candidates to be based on the East Coast, with preference given to those in the New York City area
Our stackYou 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.
- Languages: Python, Go, C#+.NET Core, Swift, Next.js, TypeScript
- Client Platforms: iOS, Android, Web (Desktop/Mobile)
- Technologies: OAuth2.0 & Identity Management, Payment Tokenization
- Event-driven Technologies: RabbitMQ, Kafka
- Datastores: Postgres, Redis, Memcache, Elasticsearch
- Cloud: AWS
- Version control: Git (Gitlab)
Perks- Equity stake
- Discretionary annual bonus
- Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely
- A WFH stipend to support your home office setup
- Unlimited PTO
- Eligible for the SG discretionary annual bonus based on individual and company performance
- Up to 16 weeks of fully-paid family leave
- 401(k) matching
- Student loan matching program
- Health, vision, dental, and life insurance
- Up to $25k towards family building, reproductive health services and Gender-affirming care
- $500 per year for wellness expenses
- Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
- $360 per quarter to spend on tickets to live events
- Annual subscription to Spotify, Apple Music, or Amazon music
The salary range for this role is $130,000 - $188,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.
