""I saw some of the highest performers just being people that had very high agency, had that clock speed, had that energy," Cheng said. "They cared about the mission, but they didn't necessarily need to have deep experience on that matter.""
""Especially in this world where the grounds are shifting so fast with AI, a lot of your learned habits actually need to be intentionally discarded.""
""A lot of it actually happens outside of the interview process, interestingly," he said. "A lot of it is the types of questions they asked. Have they actually tried your product and gone deep into it?""
""I've learned to balance those things quite a bit more than I did in the past when I would just purely read from my questions in my rubric and not care about anything else," he added."
High personal agency, rapid execution ('clock speed'), and energetic commitment to mission outperform deep domain experience in fast-evolving AI contexts. Prior experience can become a crutch when established habits must be intentionally discarded. A beginner's mind and adaptability enable quicker learning and better responses to shifting technical and market realities. Hiring signals include the types of questions candidates ask, whether candidates have tried and deeply used the product, the quality of references, communication when arranging interviews, and the energy shown in conversations. Effective hiring balances structured rubrics with these behavioral and engagement signals rather than relying solely on past experience.
Read at Business Insider
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