Seatgeek

Seatgeek

Lead Product Manager, Fan Experience

New York, New York · Senior

Sponsorship not specified$152k-$220kDetected 7 days ago
TypeScriptPythonGoSwiftNext.jsiOSAndroidGitPostgreSQLRedisElasticsearchAWSKafkaRabbitMQAgentic AIA/B TestingProduct ManagementSEOSEMResearchCommunication

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • SeatGeek believes live events are powerful experiences that unite humans.
  • By catering to both fans and rightsholders, we're powering a new, open entertainment ecosystem where fans have effortless access to experiences, and venues have seamless access to their audiences.
  • Because everyone should expect more from ticketing.

Responsibilities

  • Lead the charge for cross-cutting features fans meet after they land, such as price display, credits and incentives, notifications, saved and followed events, and trust signals
  • Map the full journey, find where fans drop off between teams, and build the case for fixing those gaps with data, research and clear sizing of the opportunity
  • Dig into the data yourself: analyze funnel, channel and experiment results, monitor journey metrics for shifts, and turn what you find into clear recommendations for partner teams
  • Run continuous discovery on the shopping experience, including fan research, data deep dives and competitive teardowns, and turn what you learn into a steady pipeline of ideas and experiments for partner teams
  • Run regular working sessions with partner teams to keep journey work aligned, sequenced and moving
  • Work AI-native: prototype ideas with AI coding tools to win buy-in from partner teams, use AI to synthesize research and data at speed, and share the workflows that work so other PMs adopt them
  • A proven ability to get work prioritized and shipped by teams you don't manage

Requirements

  • Experience with pricing, trust or design-system work that spans many surfaces, and strong attention to detail
  • You absolutely do not need experience with all of these, but we thought you might be curious.

Skills

  • OAuth2.0 & Identity Management, Payment Tokenization
  • Event-driven
  • RabbitMQ, Kafka
  • Datastores: Postgres, Redis, Memcache, Elasticsearch
  • Cloud: AWS
  • Version control: Git (Gitlab)
  • 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
  • Unlimited PTO
  • Up to 16 weeks of fully-paid family leave
  • 401(k) matching

Compensation

  • Annual subscription to Spotify, Apple Music, or Amazon music
  • The salary range for this role is $152,000 - $220,000 USD.

Benefits

  • A WFH stipend to support your home office setup
  • 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
  • This role is equity eligible.
  • As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings.
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This listing is sourced directly from Seatgeek's careers page and normalized into a canonical job model.