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Amazon Product Manager Interview Questions

40 practice questions for Amazon Product Manager interviews

Amazon product manager interviews test product strategy, prioritisation frameworks, metrics design, A/B testing, and cross-functional collaboration.

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coding Hard Verified Question #1

1. Binary Tree Cameras


Category: Binary tree coding problem
You are given the root of a binary tree. You need to install the minimum number of cameras on the tree nodes such that every node in the tree is...
Input: Binary tree
Output: Integer
coding Hard Verified Question #2

2. [CodeSignal] Warehouse Emergency Deliveries


Category: Array coding problem
Amazon has opened a new warehouse recently. There are no products in the warehouse currently. The warehouse is under inspection for n days. The...
Input: Array
Output: Integer
coding Hard Verified Question #3

3. [CodeSignal] Permutation Sorter


Category: Combinatorics coding problem
Amazon engineers are testing a new tool, the Permutation Sorter, built to reorder sequences using limited operations. Given a permutation of...
Input: Integer(s)
Output: Integer
coding Hard Verified Question #4

4. [CodeSignal] Maximum Product Rating


Category: Array coding problem
The engineers at Amazon are working on a new rating system for their products. For each product, an array customer_rating is maintained for the...
Input: Array
Output: Computed result
coding Medium Verified Question #5

5. [CodeSignal] Drone Hub Travel


Category: Array coding problem
Amazon is expanding its next-generation drone delivery network, consisting of m hubs arranged in a circular ring (Hub 1 is adjacent to Hub m)....
Input: Array
Output: Computed result
coding Medium Verified Question #6

6. [CodeSignal] Minimum Security Groups


Category: Array coding problem
A financial services company has requested AWS for a private deployment of its cloud network. There are n servers in the network where the security...
Input: Array
Output: Integer
coding Medium Verified Question #7

7. [CodeSignal] Maximum Secure Deliveries


Category: Array coding problem
You are given an array deliveryLogs of size n, where each element represents the number of parts delivered in the i-th log. You are also given...
Input: Array
Output: Integer
coding Medium Verified Question #8

8. Maximum Interval Overlap


Category: Interval-based coding problem
You are given a list of closed intervals on the number line, where each interval [start, end] includes both endpoints. Find the maximum number of...
Input: List
Output: Integer
product strategy Senior product strategy #1

1. [OA] G2M Strategy — Launching Amazon's grocery delivery in a new region

Amazon is planning to launch its grocery delivery service in a new metropolitan area. As a Product Manager, you'll need to devise a go-to-market strategy that addresses local competition, delivery logistics, and customer acquisition.
What key considerations will shape your strategy in rolling out this service effectively?
Success Criteria:
- Comprehensive market research report
- Clear identification of target customer segments
- Detailed execution plan for launch
- Defined metrics for post-launch assessment.
Stakeholders:
- Local Operations Team
- Marketing and Customer Engagement Teams
- New customers in the region
Common Pitfalls:
- Underestimating logistics challenges specific to the new area
- Failing to tailor marketing messages to local culture and preferences
- Not considering regulatory requirements for food delivery in the region.
product strategy Senior product strategy #2

2. [OA] Market Analysis — Prioritizing new features for Prime Video

Amazon Prime Video is exploring ways to enhance viewer engagement through new features. The Product Manager must analyze user behavior and market competition to prioritize feature development that drives subscriptions and viewership.
Given the constraints of product development timelines and user feedback, how would you decide which new features to prioritize?
Success Criteria:
- Clear rationale for feature selection
- Comprehensive analysis of competitive landscape
- Consideration of user needs and trends
- Justified trade-offs in development.
Stakeholders:
- Product Development Team
- Marketing Team
- End Users (viewers)
Common Pitfalls:
- Neglecting qualitative user feedback
- Focusing only on competitor analysis without user insights
- Overlooking technical limitations of implementation.
product design Medium product design #3

3. Designing the Amazon Alexa Voice Skill Marketplace

As a Product Manager for Amazon Alexa, you have been assigned to explore enhancements to the skills marketplace. With thousands of skills available, your role involves scoping new features that enhance user engagement and simplify skill discovery.
Imagine you are tasked with launching a new personalized recommendations feature for Alexa skills. How would you approach scoping this feature? What trade-offs would you consider?
Success Criteria:
- Defined user journey for accessing recommendations
- Clear technical feasibility assessment
- Strategy for skill developer buy-in
Stakeholders:
- Alexa Development Team
- Third-party Skill Developers
- End Users (Alexa customers)
Common Pitfalls:
- Overcomplicating the user interface for skill discovery
- Not adequately involving developers in the feature design
- Failing to address privacy concerns during implementation.
metrics Medium metrics #4

4. Analyzing Conversion Metrics for Amazon's Website

As a Product Manager for Amazon's e-commerce platform, you are tasked with evaluating the performance of new features added to improve checkout conversion rates. You notice unusual trends in your A/B test results, prompting a deeper dive into conversion metrics.
What key performance indicators (KPIs) would you focus on to diagnose any anomalies? How would you analyze the data effectively?
Success Criteria:
- Clear definition of KPIs to track
- Comprehensive data analysis plan
- Actionable insights based on findings.
Stakeholders:
- Data Analytics Team
- E-commerce Development Team
- Customers
Common Pitfalls:
- Relying solely on high-level metrics without understanding underlying data
- Failing to segment data appropriately for analysis
- Ignoring external factors impacting conversion rates.

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