In today's fast-paced tech landscape, especially in AI, there is no room for leaders who only manage people. Every manager, up to the CPO, must be a "builder" capable of diving into the details—whether adjusting copy or pushing pixels—to effectively guide their teams.

Leading in an AI era is less about managing people and more about designing systems of agents, workflows, and data. The focus shifts from interpersonal skills to architectural thinking, making leadership a builder role again. People who enjoy 'doing the thing' will thrive.

To prevent management from becoming a detached layer, Arista ensures its leaders are "coach players." This means even senior executives, like the CTO and founder, still contribute by coding. This "leading by example" approach proves to employees that management is connected to the core work, reinforcing a strong, authentic engineering culture.

AI's rapid capability growth makes top-down product specs obsolete. Product Managers now work bottoms-up with engineers, prototyping and even checking in code using AI tools. This blurs traditional roles, shifting the PM's focus to defining high-level customer needs and evaluating outcomes rather than prescribing features.

Instead of hiring more PMs to manage faster engineering cycles, Anthropic focuses on hiring engineers with strong product taste who can ship end-to-end. This reduces overhead and blurs traditional roles, as most PMs and designers also have engineering backgrounds.

With AI making code generation cheap, product taste is the key differentiator. In top AI teams, PMs are increasingly technical, using tools like Claude Code to build and iterate, making their role nearly identical to an engineer's.

Ramp requires all new hires, regardless of role, to be proficient with AI tools. The interview process for product managers now includes a practical session where candidates must build and present a functional product prototype using AI, demonstrating hands-on skill rather than just theoretical knowledge.

AI and low-code tools are collapsing the distance between idea and execution. The traditional PM role of managing engineering and design resources is becoming obsolete. The future belongs to product managers who can personally build, test, and iterate on products, transforming them into solo builders.

As part of its efficiency drive, Coinbase is mandating a significant cultural shift: the elimination of "pure manager" roles. Every leader is now expected to also be an individual contributor. CEO Brian Armstrong is modeling this behavior by returning to the codebase himself, pushing for a flatter, more hands-on organization empowered by AI.