Demonstrated experience operating as an AI-native PM, with hands-on ownership of model lifecycle management including problem framing, signal design, evaluation metrics (e.g., precision/recall tradeoffs, forecasting accuracy), monitoring frameworks, drift detection, and retraining strategies. You will design and scale model-driven infrastructure that continuously interprets transactional data, generates reference pricing, detects performance shifts, reconciles financial flows, and governs revenue integrity in real time.