
201 - 500 employees
🛍️ eCommerce
⚽ Sports
eCommerce • Entertainment • Sports
Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.
🔥 7 minutes ago
🇺🇸 United States – Remote
💵 $240k - $270k / year
⏰ Full Time
🔴 Lead
📈 Growth Marketing
🦅 H1B Visa Sponsor
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201 - 500 employees
🛍️ eCommerce
⚽ Sports
eCommerce • Entertainment • Sports
Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.
• LTV per install as the core metric — full ownership of the number, with the mandate to keep pushing it upward year over year, not just maintain it. This is a growth target, not a maintenance target. • Deepen CRM through personalization — move beyond broadcast/segment-based lifecycle messaging toward a truly 1:1 model: dynamic content, send-time and channel optimization, and offers/messaging that reflect individual behavior (favorite teams, price sensitivity, purchase cadence, event type). Personalization should be the mechanism by which lifecycle marketing gets meaningfully better, not a separate initiative. • Own and coach the lifecycle team across the full customer journey — from first purchase through ongoing frequency — while raising the bar on how sophisticated that execution can be. • Build the business case for new value mechanics — identify where a new lever (referral, incenvites or others you uncover) would meaningfully move LTV, build a testable MVP, and make the resourcing case with data rather than assumption. Loyalty and referral are the first two candidates, not the only two. • Partner with Product to build a shared customer experience — not “marketing asks, product builds,” but genuine co-ownership of what the personalized customer experience looks like across CRM-owned and product-owned surfaces. This person should be able to walk into a product roadmap conversation as a peer with a point of view on the experience, not just a stakeholder with a request. • Partner with Data Science on audience infrastructure — define and evolve the segmentation and targeting models that make personalization possible, working with existing DS/data resources rather than building a parallel team.
• 10-14 years in lifecycle, CRM, or retention marketing, with meaningful time at a consumer marketplace or app-first business — not exclusively ecommerce • Experience across both app and web customer experiences • A demonstrated point of view on personalization as a growth lever — not just “we send personalized emails” but real experience building segmentation/targeting logic that changed outcomes • A track record of building something from 0-to-1 — a new mechanic, program, or workstream — and making a data-backed case for resourcing it, rather than only running an established playbook • Player-coach experience — hands-on with a small team day-to-day, not a pure strategy-and-delegate operator • Real experience influencing a product roadmap without direct authority over it — this role needs to shape decisions, not just request them • Comfortable partnering with data science teams on segmentation/audience work • Hands-on familiarity with lifecycle/personalization platforms (Braze or similar) • Fluent using AI tools to expand what a lean team can cover — this team will scale scope, not headcount
• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events
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