The AI-Native Interview
Sierra has revamped its engineering interview process to align with the evolving role of software engineers in the age of AI. The new AI-native interview focuses on candidates' product thinking and technical judgment rather than traditional coding skills. This approach aims to create a more engaging and representative evaluation of candidates' abilities to drive product development.
- ▪Sierra's previous interview process included standard coding and algorithms interviews, which felt disconnected from the actual work engineers do.
- ▪The new AI-native onsite interview consists of a working session where candidates define a product, build it using AI tools, and review their work with interviewers.
- ▪This revamped process aims to provide clearer insights into candidates' initiative, ownership, and judgment while also creating a more positive experience for them.
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The Sierra blogThe AI-native interviewThe AI-native interviewVijay IyengarArya AsemanfarAngie WangShareApril 22, 2026Subscribe to the Sierra blogGet notified about new product features, customer updates, and more.Coding agents like Codex and Claude Code are upending software engineering as we know it. The role is shifting from building the machine to designing and honing it. Much like engineers stopped worrying about how a compiler translates code into machine instructions, we now need to focus less on the precise lines of code that are written and more about whether it produces the right outcomes over time.This shifts what we should evaluate in interviews.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Sierra.
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