Amazon·Product Manager·Onsite - System Design / Architecture·Senior

Senior

May 2026

Summary

Amazon PM interview with a system design question that blended product thinking and technical architecture. Single question but it went pretty deep, covering APIs, components, and how you'd actually make Alexa work on a Peloton.

Questions Asked (1)

Design a system for an Alexa-integrated Peloton bike. Walk through the API design, system architecture, and key components.

System DesignAPI & IntegrationsProduct Sense & Ideation

Author's notes

This one pushed me further into the technical weeds than I expected for a PM role.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying the product vision and user needs for an Alexa-integrated Peloton bike, then outline the high-level system architecture and API design. Focus on how voice integration enhances the workout experience and how data flows between components.

Pro tip: Emphasize the importance of real-time data synchronization and low-latency voice responses, as these are critical for a seamless user experience. Also, consider privacy and security of user health data.

1. Clarify Requirements and User Scenarios

Ask clarifying questions to understand the target users, key use cases (e.g., voice-controlled workouts, real-time metrics, social features), and constraints (e.g., latency, privacy).

2. Define High-Level Architecture

Sketch the main components: Peloton bike sensors, Alexa device, cloud services (AWS), and third-party integrations. Explain how they interact via APIs.

3. Design API Endpoints and Data Flow

Outline key APIs for voice commands, workout data retrieval, and user authentication. Describe data flow from bike to Alexa to cloud and back.

4. Address Key Technical Considerations

Discuss scalability, real-time processing, security (OAuth, encryption), and fallback mechanisms for voice failures.

5. Summarize and Highlight Trade-offs

Recap the design, mention potential trade-offs (e.g., cost vs. performance), and suggest metrics for success (e.g., user engagement, latency).

Key Points to Mention

Use of Alexa Skills Kit (ASK) for voice interaction and custom intents for workout control.
Integration with Peloton's existing APIs for user profiles, workout history, and live classes.
Real-time data streaming from bike sensors to Alexa for metrics like speed, cadence, and heart rate.
AWS services (e.g., Lambda, API Gateway, DynamoDB, IoT Core) for scalable backend.
Security measures: OAuth 2.0 for authentication, encryption of data in transit and at rest.
Fallback strategies: voice recognition errors, network issues, and offline mode.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.