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Amazon·Software Engineer·Onsite - Product Sense / Strategy·Senior

Senior
May 2026

Summary

Did a product design interview at Amazon and got asked about my broader impact on the world as a designer. Short session, one big philosophical question, and I left feeling like I either nailed it or completely missed the point.

Questions Asked (1)

Q1

As a product designer, how do you think about the broader impact your work has on the world?

Product Sense & IdeationProduct Strategy
Author's notes

I fumbled around talking about accessibility and inclusive design for a bit, which felt safe but also kind of hollow.

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AI HintsAI Generated

Suggested Approach

Frame your answer around Amazon's customer obsession and scale, showing how design decisions ripple from individual users to society. Use a specific example to illustrate both positive and negative impacts, and how you mitigate risks. Conclude by tying it back to Amazon's leadership principles and long-term thinking.

Pro tip: Emphasize that as a software engineer, you influence product design through technical decisions, and show you consider second-order effects like accessibility, privacy, and environmental impact.

1. Define broader impact

Clarify what 'broader impact' means: societal, environmental, economic, and ethical effects beyond immediate users.

2. Connect to Amazon's scale

Explain how Amazon's massive user base amplifies both positive and negative consequences, making responsible design critical.

3. Provide a concrete example

Share a specific project where you considered broader impact, such as optimizing for accessibility or reducing data collection.

4. Show mitigation strategies

Describe how you identify and address potential harms, like user research, ethical reviews, or iterative testing.

5. Tie to long-term thinking

Link your approach to Amazon's leadership principles, especially Customer Obsession and Think Big, showing alignment with company values.

Key Points to Mention

  • Amazon's Leadership Principles: Customer Obsession, Think Big, and Earn Trust
  • Unintended consequences of design decisions, such as addiction, misinformation, or privacy erosion
  • Inclusive design and accessibility for diverse user groups
  • Environmental sustainability in technology choices (e.g., efficient algorithms, green hosting)
  • Ethical considerations like data privacy and algorithmic bias
  • Measuring impact through metrics beyond engagement, such as user well-being and societal benefit

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