Sales experience on a resume can be a 'false positive.' When hiring SDRs, prioritize untrainable qualities like work ethic, mindset, and resilience over specific past roles. These character traits are a better predictor of long-term success than skills that can be taught.
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"Mercenaries" are transactional reps who perform well but leave when conditions change. "Patriots" are mission-driven team members who build a winning culture. While startups may need mercenaries for early traction, long-term success requires actively cultivating and hiring for patriot-like qualities.
As AI handles technical tasks, uniquely human skills like curiosity, empathy, and judgment become paramount. Leaders must adapt their hiring processes to screen for these non-replicable soft skills, which are becoming more valuable than traditional marketing competencies.
New SDRs get overwhelmed when forced to learn industry nuances first. A better approach is to prioritize mechanics (CRM, scripts), then knowledge (personas), and finally the 'art' of sales, which develops over time. This builds confidence and allows them to execute quickly while they learn.
Organizational success depends less on high-profile 'superstars' and more on 'Sherpas'—generous, energetic team players who handle the essential, often invisible, support work. When hiring, actively screen for generosity and positive energy, as these are the people who enable collective achievement.
A sales background teaches more than customer centricity. It instills resilience and the fearlessness to approach anyone in an organization to get things done, a vital skill for navigating the cross-functional demands of product management.
The "attitude vs. aptitude" debate is flawed. Instead, hire the person with the smallest skill deficiency relative to the role's requirements. For a cashier, attitude is the harder skill to train. For an AI researcher, technical aptitude is. The key question is always: is it worth our resources to train this specific gap?
Beyond IQ and EQ, interview for 'Resilience Quotient' (RQ)—the ability to persevere through setbacks. A key tactic is to ask candidates about their proudest achievement, then follow up with, 'What would you do differently?' to see how they navigated strife and learned from it.
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.
For cutting-edge AI problems, innate curiosity and learning speed ("velocity") are more important than existing domain knowledge. Echoing Karpathy, a candidate with a track record of diving deep into complex topics, regardless of field, will outperform a skilled but less-driven specialist.
