Why Meta Threw Out the Interviewing Playbook

Danit Nativ Navon, Senior Software Engineering Manager at Meta, unpacks how the company became the first major tech firm to build AI-enabled coding interviews. She breaks down the process of rethinking what engineering interviews actually measure (now that AI can write the code itself), and explains why the leadership qualities that matter most now look nothing like the skills these interviews were originally built to test.

Key Takeaways:

How to tell the difference between a candidate who's simply good at prompting from a genuine AI-native engineer

What a viral interview-cheating tool revealed about a much deeper flaw in traditional coding tests

Why leadership qualities are becoming more valuable to engineers in the AI era

How company culture ends up being the real safeguard for privacy and safety

Guest Bio:

Danit Nativ Navon is a Senior Engineering Manager in Meta's Applied AI division, with two decades of experience and an academic background in Computer Science and Neuroscience.

At Meta, she pioneered AI-enabled coding interviews, making it the first major tech company to adopt AI-native evaluation for engineering talent. She also coaches leaders through AI-driven change and helps new hires to integrate AI skills into Meta's engineering environment.

A self-described late adopter who chose to evolve rather than fall behind, Danit now helps others step confidently into the AI era. Her global journey across Israel, Singapore, Mexico, and London informs her practical, people-first approach to engineering leadership.

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