About this episode

This episode features three product leaders discussing their successful job searches in AI roles, challenging conventional wisdom about the process.

Most job search advice comes from people still in the thick of it—anxious, second-guessing, pattern-matching off too little data. This episode is different. We sat down with three product leaders who recently landed roles at Netflix, OpenAI, and Abridge, and did a full postmortem. What they shared upends a lot of conventional wisdom: the spray-and-pray pipeline doesn't work, your AI credentials matter less than you think, and the relationships that land jobs are often years in the making. Key topics • Why you need curiosity, not experience • The "AI hungry" mindset: searching for environments that match your learning goals, not just your resume • Why the best job search intelligence comes from people who just landed, not people still looking • Why prototypes are now table stakes in take-homes • How Janie built a shortlist of 5–10 companies in a week of 50–60 conversations • Why Ben's Netflix role traces back to a cold application seven years ago • What OpenAI's interview process actually looks like—and why it's less about the past than you expect • Why most AI-native jobs aren't posted, and how to land them • How to use investor attention as a proxy for company quality • Why…

People in this episode

Host: Nikhyl Singhal

Guests: Janie, Ben

Topics covered

• job search
• AI roles
• product leadership
• career advice
• interview process
• networking

Keywords

• job search advice
• AI credentials
• interview process
• networking
• career development
• product leaders

Sponsors

Framer, Dust

Mentioned in this episode

Organizations: Netflix, OpenAI, Abridge

Products: Framer, Dust

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