Why Your AI Product Team Needs an AI Quality Lead
2025-01-25
Help Scout's success highlights the critical need for an "AI Quality Lead" within AI product teams. This role bridges the gap between domain expertise and AI development, typically filled by domain experts who then learn generative AI skills like prompt engineering and evaluation. Responsibilities include reviewing production data, defining evaluation criteria, managing test datasets, improving prompts, and training team members. This role accelerates time to market, increases trust in performance metrics, and shortens feedback loops. Even without generative AI expertise, domain experts with strong customer understanding, systematic problem-solving skills, and communication abilities can excel in this position.