← Uber Eats Interview Insights

Uber Eats·Product Manager·Onsite - Product Sense / Strategy·Senior

Senior
Apr 2026

Summary

PM interview at Uber Eats that came down to a single big system design question about building an ads platform. Not much fluff, just dropped straight into the deep end.

Questions Asked (1)

Q1

How would you design an ads platform for Netflix?

Product StrategyPricing & MonetizationSystem Design
Author's notes

This one sprawled in every direction fast.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal: monetize Netflix's content and audience through an ads platform while preserving user experience. Then outline a high-level design covering ad formats, targeting, delivery, measurement, and pricing, and discuss trade-offs and success metrics.

Pro tip: Emphasize how you would balance ad revenue with subscriber satisfaction, and propose a phased rollout starting with non-intrusive formats to test and learn.

1. Clarify Objectives and Constraints

Ask clarifying questions to understand goals (e.g., revenue targets, user experience, advertiser needs) and constraints (e.g., content licensing, privacy regulations).

2. Define Ad Products and Formats

Propose ad formats that fit Netflix's content (e.g., pre-roll, mid-roll, interactive ads) and consider how they integrate with different content types (movies, series, live).

3. Design Targeting and Delivery

Outline targeting capabilities (demographics, viewing behavior, contextual) and the ad serving infrastructure (real-time bidding, frequency capping, pacing).

4. Establish Measurement and Pricing

Define success metrics (e.g., completion rate, brand lift) and pricing models (CPM, CPA, etc.) based on value delivered to advertisers.

5. Address Trade-offs and Rollout

Discuss trade-offs (e.g., ad load vs. user retention) and propose a phased rollout with A/B testing to optimize.

Key Points to Mention

  • User experience: limit ad load, allow ad-free tiers, and ensure ads are relevant.
  • Advertiser value: offer premium inventory, advanced targeting, and measurement.
  • Technical architecture: scalable ad server, real-time bidding, and integration with existing Netflix systems.
  • Privacy and compliance: adhere to regulations like GDPR and CCPA.
  • Revenue models: subscription with ads, ad-supported free tier, or hybrid.
  • Competitive landscape: differentiate from YouTube, Hulu, and other streaming ad platforms.

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