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.

Lovable is moving away from the specialist, cross-functional squad model popularized by companies like Spotify, believing it creates decision-making bottlenecks. Instead, they hire "high slope" generalists with broad skills and good judgment who can own projects from start to finish, using AI to fill gaps.

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.

Avoid hiring a growth leader with a big-name pedigree for your early team, as they are often unsuited for the necessary hands-on experimentation. Instead, seek young, hungry builders who are motivated by chaos and comfortable rebuilding their own work as the company's needs evolve.

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.

In a fast-moving environment, rigid job descriptions are a hindrance. Instead of hiring for a specific role, recruit versatile "athletes" with high general aptitude. A single great person can fluidly move between delivery, sales, and product leadership, making them far more valuable than a specialist.