The ideal candidate brings strong TPM discipline, excellent cross-functional leadership, and AI fluency to work with business leaders on initiatives that automate workflows, improve decision-making, and increase productivity through AI and workflow automation capabilities. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, candidate’s work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.