• Own coach-member marketplace KPIs and use data to drive continuous improvement: match quality, time-to-match, coach utilization, member satisfaction, coach satisfaction, matching efficiency and cost. • Develop and execute the strategy to move Mento’s matching from human-powered to AI-augmented within 3–4 months. • Own and optimize the full member journey and enable transition from a hands-on member experience to a high-touch, personalized experience that can scale. • Design experiments to measure model performance vs. human decisions: accuracy, match quality, failure modes, and edge cases. • Lead with an experimentation mindset – constantly piloting tools, testing solutions, and running experiments that increase efficiency and improve outcomes without sacrificing personalization. • Maintain deep knowledge of member personas and coach profiles (specializations, styles, capacity) to inform both manual and algorithmic matching decisions.