Own and drive end-to-end AI product lifecycle — from problem discovery, market and user research, requirement definition, roadmap planning, development execution, launch, and continuous optimization.
Define AI product vision and strategy aligned with business goals, global market needs, and competitive landscape.
Translate complex business problems into clear AI/ML product requirements, user stories, and acceptance criteria for engineering and data teams.
Work closely with AI engineers, data scientists, UX designers, and backend teams to deliver scalable, reliable, and ethical AI solutions.
Lead data-driven decision-making by analyzing user behavior, model performance, product metrics, and experiment results (A/B testing, model iteration outcomes).
Conduct in-depth market and customer research across regions, including enterprise and consumer users, to identify AI use cases, pain points, and monetiz...