It seems like every product strategy discussion today eventually lands on ‘How can we add AI?’ But I believe the more profound question we should be asking is: How is AI changing the very nature of the Product Manager role itself?
Beyond shipping AI features, we’re entering an era where the core competencies of product management are being fundamentally redefined. The classic skills—user empathy, strategic thinking, and stakeholder communication—remain essential, but they now require an ‘AI-native’ perspective. Are we prepared to think in terms of probabilities instead of deterministic user flows? Can we intelligently discuss the tradeoffs of different machine learning models with our engineering counterparts?
The operational side of our work is also transforming. The manual, time-consuming synthesis of user feedback, for example, is ripe for augmentation. We’re seeing a new class of tools that help automate this process, letting us move faster from raw data to actionable insight. At https://leera.io, we’re exploring this exact space to help teams get to the ‘why’ behind user requests more efficiently.
This isn’t just about using new tools; it’s about evolving our skillset to build and manage a new class of intelligent products.
So, beyond ‘prompt engineering,’ what specific new skills do you believe are becoming non-negotiable for a successful product manager in the age of AI?