The Interview That Ships to Production: replacing whiteboards with pull requests
AngelList has revamped its technical interview process to focus on real-world coding challenges instead of traditional puzzles. Candidates are tasked with implementing a venture fund distribution mechanism in JavaScript, using an AI assistant to enhance their problem-solving skills. This approach emphasizes critical thinking and the ability to evaluate AI outputs, aiming to better assess candidates' practical coding abilities.
- ▪AngelList's engineering team consists of fewer than 50 people, making each hire significant.
- ▪Candidates are given a coding challenge that involves implementing a three-tier venture fund distribution waterfall in JavaScript.
- ▪The interview process includes using an AI assistant to evaluate candidates' ability to verify outputs and think critically.
Opening excerpt (first ~120 words) tap to expand
Most technical interviews are performances. You walk into a room (or a Zoom call), solve a contrived puzzle under artificial time pressure, and everyone pretends this reveals something meaningful about how you work.We got tired of pretending.At AngelList, we build the financial infrastructure behind $200B+ in venture & private assets. Our engineering team is small (fewer than 50 people) and every hire has an outsized impact. We needed an interview process that actually measured what matters: Can you read a codebase? Can you think critically when an AI is confidently wrong? Can you ship?So we built one.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Angellist.
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