Technology Leadership in the Age of AI: Product, Platform, and P&L

AI has moved from side projects to the core of how companies compete and grow, requiring technology leaders to operate beyond engineering—shaping product direction, platform strategy, and roadmaps that directly influence business performance.

This course is designed for engineering managers, product leaders, senior engineers, and directors expanding their scope or navigating a transition into broader enterprise leadership.

Participants explore leadership challenges at this level, from understanding customer and business pain points to translating them into clear product, platform, and AI strategies.

The course examines how leaders align with business and product partners; make technology decisions that shape growth, margins, and risk; and take accountability for P&L outcomes.

These decisions are explored through practical lenses such as modernizing legacy architectures, building systems of intelligence, scaling AI responsibly, build-versus-buy trade-offs, organizational design, and executive communication.

By the end, participants will have sharpened how they think, decide, and lead at the intersection of product, platform, and P&L in an AI-driven world.