• Partner with Product, Marketing, Operations, and other teams to identify where ML can drive measurable value • Translate business problems into clear modeling objectives, metrics, and experimentation plans • Ensure ML efforts remain tightly aligned with business priorities and user impact • Lead the design, development, and iteration of ranking, filtering, and personalization models across Gametime’s product surfaces • Own modeling approaches, feature strategy, evaluation metrics, and offline and online experimentation • Balance relevance, revenue, and user trust when evolving ranking solutions • Apply LLMs and hybrid ML techniques to use cases such as semantic understanding, intent detection, content generation, and internal workflows • Evaluate emerging tools and techniques, recommending pragmatic adoption where they provide clear benefit • Establish best practices for testing, deploying, and monitoring LLM-powered models in production • Manage and mentor applied ML practitioners, supporting growth in technical depth and business impact • Set high standards for modeling rigor, experimentation discipline, and production readiness • Collaborate closely with ML engineering and platform teams to ensure scalable and reliable deployment