Gametime United - Product Manager, Post-Order UX & AI Automation

• AI-powered self-service: build fan-facing AI tools (e.g., conversational support, automated resolution flows) that reduce human contact rate for common post-order issues • AI-powered self-service: • Agent-assist and internal tooling: build AI-powered tools for our Fan Operations team (e.g., agent-assist, prioritization and routing, automated triage, knowledge retrieval) that reduce handle time and improve resolution quality • Agent-assist and internal tooling: • CSAT: drive improvements in fan satisfaction across the post-order journey • CSAT: • Cost to serve: lower the cost of supporting each transaction as volume grows, balancing automation with service quality • Cost to serve: • A roadmap tied directly to contact rate, CSAT, delivery-related complaints, and cost to serve • Common bar: • A track record of shipping product changes that moved measurable business outcomes • Strong cross-functional partnership skills — you'll work closely with Fan Operations leadership, Engineering, Data, Trust & Safety, and Supply • Comfort operating at whatever level you're hired into, from hands-on execution to setting multi-quarter strategy • Domain-specific: • Domain-specific: • Experience owning post-purchase experience in a marketplace environment, customer service/support operations, or contact center technology • Experience shipping AI or LLM-powered product features, ideally in a support or self-service context • Familiarity with support metrics (contact rate, handle time, CSAT, cost to serve) and how product changes move them • A data-driven approach — comfort working with SQL/analytics to diagnose where fans get stuck post-purchase • At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.