Simply hiring superstar "Galacticos" is an ineffective team-building strategy. A successful AI team requires a deliberate mix of three archetypes: visionaries who set direction, rigorous executors who ship product, and social "glue" who maintain team cohesion and morale.

To be truly successful, a product leader cannot just focus on features and users. They must operate as the head of their product's business, with a deep understanding of P&Ls, revenue drivers, and capital allocation. Without this business acumen, they risk fundamentally undercutting their product's potential impact and success.

The core job of a Product Manager is not writing specs or talking to press; it's a leadership role. Success means getting a product to market that wins. This requires influencing engineering, marketing, and sales without any formal authority, making it the ultimate training ground for real leadership.

Contrary to the popular bottoms-up startup ethos, a top-down approach is crucial for speed in a large organization. It prevents fragmentation that arises from hundreds of teams pursuing separate initiatives, aligning everyone towards unified missions for faster, more coherent progress.

Bending Spoons' product lead argues that the ideal PM background is either entrepreneurial, which teaches focus on impactful work, or deeply analytical, which fosters an understanding of root causes. These two paths provide the core skills needed for product leadership.

A structured path to a top AI PM role moves from building prototypes to getting production experience. The final, critical step is to build a public brand by running evaluations on major open-source models (from Google, Meta, etc.) and publishing your findings and improvements.

Contrary to the popular belief that it's always detrimental, for product managers, context switching is a core strength. Fluidly moving between customer, engineering, and marketing conversations is essential for integrating diverse perspectives to bring a product to life.

The traditional "assembly line" model of product development (PM -> Design -> Eng) fails with AI. Instead, teams must operate like a "jazz band," where roles are fluid, members "riff" off each other's work, and territorialism is a failure mode. PMs might code and designers might write specs.

Great PMs excel by understanding and influencing human behavior. This "people sense" applies to both discerning customer needs to build the right product and to aligning internal teams to bring that vision to life. Every aspect, from product-market fit to go-to-market strategy, ultimately hinges on understanding people.