Since modern AI is so new, no one has more than a few years of relevant experience. This levels the playing field. The best hiring strategy is to prioritize young, AI-native talent with a steep learning curve over senior engineers whose experience may be less relevant. Dynamism and adaptability trump tenure.

OpenGov's CEO advises against the conventional wisdom of hiring salespeople with deep government experience. Instead, his company seeks hungry, courageous, and disciplined individuals and trains them internally on domain specifics, finding this approach more effective.

Prioritize hiring generalist "athletes"—people who are intelligent, driven, and coachable—over candidates with deep domain expertise. Core traits like Persistence, Heart, and Desire (a "PhD") cannot be taught, but a smart athlete can always learn the product.

When hiring, prioritize a candidate's speed of learning over their initial experience. An inexperienced but rapidly improving employee will quickly surpass a more experienced but stagnant one. The key predictor of long-term value is not experience, but intelligence, defined as the rate of learning.

The ideal early startup employee has an extreme bias for action and high agency. They identify problems and execute solutions without needing approvals, and they aren't afraid to fail. This contrasts sharply with candidates from structured environments like consulting, who are often more calculated and risk-averse.

Ramp's hiring philosophy prioritizes a candidate's trajectory and learning velocity ("slope") over their current experience level ("intercept"). They find young, driven individuals with high potential and give them significant responsibility. This approach cultivates a highly talented and loyal team that outperforms what they could afford to hire on the open market.

To scale a high-performing product team, hire individuals who exhibit the same level of ownership and love for the product as the original founders. This means prioritizing a blend of deep curiosity, leadership potential, and an unwavering commitment to execution over a simple skills checklist.

In rapidly evolving fields like AI, pre-existing experience can be a liability. The highest performers often possess high agency, energy, and learning speed, allowing them to adapt without needing to unlearn outdated habits.

In a paradigm shift like AI, an experienced hire's knowledge can become obsolete. It's often better to hire a hungry junior employee. Their lack of preconceived notions, combined with a high learning velocity powered by AI tools, allows them to surpass seasoned professionals who must unlearn outdated workflows.