Job Description
Job Description Own AI products end to end, from discovery and scoping to prototyping, shipping, measuring, and iterating in production. Identify high-impact opportunities across player-facing systems, operational workflows, and internal tools, and decide what is worth building. Determine the right technical approach for each problem, whether rules, classical ML, LLMs, agents, or hybrid solutions, and discuss tradeoffs with engineers across prompting, RAG, fine-tuning, model selection, tool calling, latency, and cost. Design AI-native experiences such as chat, copilots, human-in-the-loop flows, fallbacks, and feedback loops, and define the evaluations that determine whether they work. Prototype in code using tools such as Claude Code or Codex, building working demos before writing specifications so that engineering discussions begin with something tangible. Manage stakeholders across leadership, engineering, and end users to align priorities ...