Product design question
As a platform PM for Netflix, design a method that improves the API performance and platform availability with the growing customer base. It must also help the company build many more services on the streaming platform to make it a one-stop solution for any content.
- Netflix
- Product design
- Hard
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What this question tests
Platform PM thinking for infrastructure powering both internal reliability and external ecosystem growth, spanning technical and strategic tradeoffs.
How to approach it
- Clarify scope: API performance and availability for Netflix's own streaming clients, and potentially third party services building on the platform, since the goals differ.
- Identify the users: internal engineering teams building new features on the platform, and, longer term, external partners the company might enable to build additional services.
- Name the core tension: improving performance and availability while supporting rapid growth in both customer base and the number of services built on the platform requires architectural scalability, not just optimization.
- Propose an approach: invest in a more modular, well documented internal API gateway with strong service-level objectives and automated load testing tied to customer growth projections.
- Prioritize reliability and clear internal API contracts first, since a fragile core platform would undermine any future expansion into a broader content services ecosystem.
- Define success as API uptime against defined service-level objectives, latency percentiles under peak load, and the number of internal or partner services successfully built on the platform.
What a strong answer includes
- Recognizes the two intertwined goals, current reliability and future extensibility, and sequences reliability first as the foundation for the ecosystem ambition.
- Proposes a concrete architectural direction, a well documented internal API gateway with defined service-level objectives, not a vague 'improve performance' statement.
- Picks metrics (uptime against objectives, latency percentiles, services built) that reflect both the technical and strategic platform goals stated in the prompt.
Common mistakes
- Focusing only on immediate performance optimization while ignoring the platform's stated goal of enabling many more future services.
- Proposing architectural changes without defining measurable service-level objectives to know if reliability actually improved.
Likely follow-up questions
- How would you prioritize reliability investment against feature velocity for new services?
- How would you decide which future services are worth building on this platform first?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop