Amazon Engineering Manager Interview Experience
Amazon · Staff
Interview process
The overall interview process consisted of a recruiter screen, a technical call with the hiring manager, a written narrative exercise, and a 5-round virtual loop focusing on System Design, People Management, Operational Excellence, Cross-Functional Leadership, and a Bar Raiser round, with each module heavily testing Amazon’s Leadership Principles using the STAR method.
What went well was my ability to deliver structured, data-driven answers that dedicated most of the time to my direct actions as a leader while anchoring results in concrete business metrics. I successfully demonstrated core Leadership Principles like Customer Obsession and Hire and Develop the Best through explicit examples of team growth, performance management, and architecture trade-offs, effectively balancing high-level business strategy with technical depth during system design discussions.
What didn’t go as well was my initial tendency to credit the team using "we" instead of "I," which required interviewers to interrupt and probe for my specific individual contributions. Additionally, I mismanaged pacing in one round by spending too much backstory time setting up an operational failure scenario, which left little time for long-term preventative fixes, and I initially got bogged down optimizing a single database schema during system design rather than outlining the full end-to-end architecture first
Interview rounds · 3
- 1
Online assessment
People ManagementQ1. Tell me about a judgment call you have made within the last 12 months, that could not be analyzed beforehand.
Follow-up questions- Tests LP Are Right, A Lot: Most decisions are made with analysis, but some are judgment calls due to time constraints or incomplete information.
- 2
Phone screen
BehavioralSystem Design- Q1. Tell me about a time when you took on a task that was beyond your job responsibilities.
- Q2. Tell me about your past projects.
- Q3. Describe a time when you disagreed with the approach of a team member. What did you do?
- Q4. Tell me about an unpopular decision of yours.
- 3
Technical round
System DesignPeople ManagementData Structures & AlgorithmsTechnical- Q1. Design Twitch or any live streaming platform.
Tips from the candidate
If a friend were preparing for an Amazon SDM loop, I’d tell them to focus first on mastering the "I" versus "We" distinction, as engineering managers naturally credit their team ("we launched"), but Amazon interviewers will repeatedly interrupt to ask what you personally did to drive the strategy, resolve blockers, and set standards. Instead of memorizing dozens of different examples, I’d advise building a matrix of 5 to 6 complex, multi-month initiatives from their career—each rich in technical depth and organizational friction—that can be flexibly mapped to multiple Leadership Principles depending on the prompt. Every behavioral response must strictly follow the STAR method, keeping the situation concise and front-loading the results with concrete metrics like latency reductions, cost savings, or delivery timelines. They also need to be ready with crisp, explicit operational frameworks for managerial mechanics, such as their exact process for coaching underperforming engineers, elevating seniors to principal levels, and running post-mortems or on-call rotations. Finally, for the system design round, they should always establish the high-level end-to-end architecture and key trade-offs first before letting the interviewer guide them into zooming in on specific sub-components like database schemas or caching strategies, preventing them from running out of time.
Company culture
What stood out most about the culture was how deeply embedded the Leadership Principles were in everyday operations, moving far beyond mere corporate wall slogans to act as a shared, operational language for decision-making. I noticed a strong emphasis on data-driven accountability and customer obsession, where teams were consistently empowered to challenge assumptions and push back on short-term trade-offs in favor of long-term architectural stability and customer trust.