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.
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At the $1-10M ARR stage, avoid junior reps or VPs from large companies. The ideal first hire can "cosplay a founder"—they sell the vision, craft creative deals, and build trust without a playbook. Consider former founders or deep product experts, even with no formal sales experience.
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.
Guidara deliberately avoided hiring people with extensive fine-dining experience. Newcomers are less beholden to industry norms and more likely to ask "why," challenging long-held assumptions. This 'intelligent naivety' can be a superpower for innovation, preventing stagnation.
In a complex field like ad tech, curiosity is as critical as experience. Interviewers should assess this by seeing if candidates drive the conversation with insightful questions. A lack of curiosity is a major red flag, suggesting they won't thrive in a dynamic environment.
A startup's initial salesperson should prioritize mirroring the founder's successful sales approach. Their job is to deconstruct the founder's "hook" through observation and trial-and-error, not to immediately implement formal sales processes, metrics, or a CRM. Success comes from successful knowledge transfer, not premature system building.
Aravind Srinivas intentionally avoids hiring candidates with established track records from large tech companies. He believes people hungry for their first major success are more motivated and better suited for a startup's intensity than those who may be less driven after a previous big win.
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?
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.
