If you’re preparing for L5+ interviews at Amazon (SDE 2, Senior Engineer, other technical roles) this post will help you craft four stories that stretch across most of the 16 leadership principles, so you’re ready enough in 2-3 hours.
For non-technical roles, SDM, or Principal Engineer interviews, you’ll need to add another two or three stories.
I’ve been at big tech for about 10 years now and been on both sides of probably 200+ interviews. Just wrapped a cycle with EM offers from Meta, Netflix, and Airbnb, but also bombed at Doordash and Pinterest because I didn’t prep. Figured I’d write down what I picked up along the way while it’s fresh.
The Stories
Story 1: The Big Win (Ambiguous Problem → Strong Result)
Think of a project where you faced a complex, ambiguous problem, made a call with incomplete information, and delivered a measurable outcome. This is your workhorse story. It covers Dive Deep, Deliver Results, Bias for Action, and depending on how you tell it, Are Right A Lot, Hire and Develop the Best, and Customer Obsession.
When they ask a question about diving deep, lead with the investigation and root cause. When they ask “tell me about a time you delivered results despite obstacles,” you lead with the constraint and the outcome. “Tell me about a time you went above and beyond for a customer,” lead with customer impact. Same story, different entry point.
“We needed to improve product search relevance, but there was no consensus on whether the problem was the ranking model or the data pipeline. I ran a two-week analysis, found that 40% of our training data was stale, built the case to re-architect the ingestion layer, and shipped it in six weeks despite losing a key engineer mid-project. Relevance metrics improved 15% and customer contacts on search dropped by 20%.”
You’ll need to add a lot more flesh to the above, but this gives you an idea of what makes a good story in this category - ambiguity at the start, decisions in the middle, numbers at the end.
Now you need one where you looked bad.
Story 2: The Failure (Bad Call → Recovery → Learning)
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