Product management in the AI era requires a shift from output to outcome focus, tying launches to clear business or user impact.
PMs need to master data and AI fluency, understanding concepts like data pipelines, sampling bias, and model performance metrics.
Designing for the model involves treating the AI system like a teammate, planning features to improve model feedback and accuracy.
Championing responsible AI involves incorporating fairness, transparency, and trust into roadmaps through audits, calibration checks, and transparent UX cues.