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Meta·Technical Product Manager·Onsite - System Design / Architecture·Senior

Senior
Apr 2026

Summary

Meta TPM interview with a single system design question about building an election system for a university. Pretty open-ended, which was both the interesting part and the stressful part.

Questions Asked (1)

Q1

Design an election system for the University of Washington.

System DesignTechnical Trade-offsAdaptability & Ambiguity
Author's notes

The scope creep on this one was real.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope and requirements of the election system, such as the types of elections (student government, faculty senate, etc.), voter eligibility, and scale. Then propose a high-level design that covers key components like voter registration, authentication, ballot creation, voting, tallying, and results publication, while discussing trade-offs between security, scalability, and usability.

Pro tip: Emphasize the importance of security and auditability, as elections require trust; mention end-to-end verifiable voting and paper trails as potential solutions. Also, consider the unique context of a university, such as integrating with existing student information systems and handling multiple simultaneous elections.

1. Clarify Requirements

Ask questions to understand the scope: What types of elections? How many voters? What are the security and accessibility requirements? What is the expected load? This demonstrates adaptability and ensures you design the right system.

2. High-Level Architecture

Outline the main components: voter registration, authentication, ballot management, voting interface, tallying, and auditing. Consider whether to build custom or use existing platforms, and discuss trade-offs.

3. Deep Dive into Critical Components

Focus on security and integrity: How to prevent double voting, ensure anonymity, and verify results. Discuss technologies like OAuth for authentication, blockchain for auditability, or encryption for privacy.

4. Scalability and Reliability

Address how the system handles peak load during elections, ensures high availability, and recovers from failures. Consider using cloud services, load balancing, and database replication.

5. Trade-offs and Metrics

Summarize key trade-offs (e.g., security vs. usability, cost vs. scalability) and define success metrics like voter turnout, system uptime, and audit accuracy.

Key Points to Mention

  • Voter authentication and eligibility verification (e.g., integration with university SSO)
  • Ballot anonymity and privacy (e.g., encryption, mixing services)
  • Auditability and verifiability (e.g., paper trails, end-to-end verifiable voting)
  • Scalability to handle peak voting periods (e.g., cloud auto-scaling)
  • Accessibility and usability for diverse voters (e.g., mobile support, multilingual)
  • Integration with existing university systems (e.g., student information system)

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