Lead Product Manager, Fan Experience
New
S
SeatGeekTicketing, e-commerce
Remote - United StatesFull-TimeLead
SalaryThe salary range for this role is $152,000 - $220,000 USD.
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Job Details
- Experience
- 8+ years of product management
- Required Skills
- Product ManagementProduct AnalyticsSEO
Requirements
- 8+ years of product management in consumer e-commerce, marketplaces or travel.
- Experience with acquisition funnels, landing experiences or growth.
- Ability to get work prioritized and shipped by teams you do not manage.
- Working fluency in paid marketing, SEO, AI-driven discovery and attribution.
- Strong experimentation and analytical skills.
- Strong written communication skills.
- Experience with pricing, trust or design-system work spanning multiple surfaces.
- Strong attention to detail.
- Bonus: experience using automation or AI tools to monitor product quality at scale.
- Bonus: live events or ticketing experience.
Responsibilities
- Drive the vision, strategy and metrics for the fan journey from marketing channels through landing and checkout.
- Track changes in discovery, including AI assistants, AI-driven search and social commerce, and bring opportunities to the right teams.
- Optimize landing experiences so they match the marketing channel or link that brought fans to them.
- Lead cross-cutting features such as price display, credits and incentives, notifications, saved and followed events, and trust signals.
- Set up automated quality checks for consistency across surfaces and AI-powered experiences, and identify broken experiences, regressions and drop-off spikes.
- Map the full journey, identify where fans drop off, and make data- and research-backed cases for improvements.
- Analyze funnel, channel and experiment results, monitor journey metrics, and provide recommendations to partner teams.
- Run discovery through fan research, data analysis and competitive teardowns, and develop ideas and experiments for partner teams.
- Shape Product and Marketing team roadmaps and run working sessions to align and advance journey work.
- Prototype with AI coding tools, use AI to synthesize research and data, and share effective workflows with other product managers.
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