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

SeniorPrefer not to say
Jun 2026

Summary

Went through a system design style product question at Google for a PM role. Just the one question but it took up the whole session.

Questions Asked (1)

Q1

How would you design a URL shortening service like TinyURL?

System DesignTechnical Trade-offsProduct Sense & Ideation
Author's notes

I jumped straight into the product side (who uses it, what are the core flows) and kind of forgot to anchor on scale for way too long.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and constraints, then outline a high-level design covering key components like URL encoding, storage, and redirection. Discuss trade-offs and potential optimizations, and tie back to product goals and user experience.

Pro tip: Emphasize scalability and reliability from the start, and propose metrics to measure success, such as latency and uptime, to show product thinking.

1. Clarify Requirements

Ask questions to understand scope: expected traffic, read/write ratio, custom aliases, expiration, analytics, and security needs.

2. High-Level Design

Outline core components: a web server for API, a database for mappings, and a redirection service. Describe the flow from shortening to redirecting.

3. Key Technical Decisions

Discuss URL encoding (e.g., base62), hash function, collision handling, and storage choices (SQL vs NoSQL). Consider caching for hot URLs.

4. Scalability & Reliability

Address how to scale (e.g., sharding, replication), ensure low latency, and handle failures. Mention load balancing and CDN for redirects.

5. Product Considerations

Talk about user experience, analytics, abuse prevention, and potential monetization. Suggest metrics to evaluate success.

Key Points to Mention

  • Base62 encoding for short URLs
  • Database choice: SQL vs NoSQL and trade-offs
  • Caching strategies (e.g., Redis) for hot URLs
  • Handling collisions in hash generation
  • Scalability via sharding and replication
  • Analytics and click tracking for product insights

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