In DoorDash's dynamic environment, any given job will materially change every 18 months. Consequently, their hiring philosophy prioritizes identifying candidates with a high trajectory for learning, adapting to complexity, and dealing with ambiguity, rather than just current qualifications.

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.

Legora intentionally hires people with high learning velocity ("high Y slopes") over deep experience ("high Y intercepts"). In a rapidly evolving AI landscape, this ensures the team can scale their capabilities as exponentially as the company grows.

A person's past rate of growth is the best predictor of their future potential. When hiring, look for evidence of a steep learning curve and rapid progression—their 'slope.' This is more valuable than their current title or accomplishments, as people tend to maintain this trajectory.

Early-stage startups thrive on rapid iteration. Seek hires who can 'get shit done at an incredible clip' and make decisions at '100 miles per hour,' even if some are wrong. These individuals, often 'rough around the edges,' are more valuable than candidates with perfect paper pedigrees from large tech companies.

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.

Your first hires shouldn't be domain experts but 'high-slope' generalists with great attitudes, conscientiousness, and low neuroticism. They can be thrown at any problem, handle chaos, and grow with the company, which is more valuable than specialized experience in early days.