Provide daily email ticket support (Zendesk), reply to Play Store and social comments, troubleshoot technical issues with back-end tools, escalate bugs to development, produce weekly reports, handle 100+ tickets/day, and act as player advocate on product projects.

The Senior ML Platform Engineer will develop scalable machine learning solutions, manage ML infrastructure, and ensure observability in ML workflows while collaborating with cross-functional teams.

Serve as primary liaison for brand partners managing full customer lifecycle: onboarding, integrations, campaign execution, QA, troubleshooting, performance analysis, reporting, and strategic, data-driven recommendations to retain and grow accounts. Use HubSpot and JIRA to track activities and collaborate with Sales, Product, and Support.