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Perplexity AI·Product Manager·Hiring Manager Screen·Senior

Senior
Apr 2026

Summary

Interviewed for a PM role at Perplexity AI. Just the one question I can recall, focused on cross-functional collaboration and experimentation with designers.

Questions Asked (1)

Q1

Can you walk me through how you've collaborated with designers when running A/B tests across different product iterations?

A/B Testing & ExperimentationCross-functional Alignment
Author's notes

I talked about syncing with design early so we weren't retrofitting metrics onto something already built.

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AI HintsAI Generated

Suggested Approach

Use a specific example to show how you partnered with designers throughout the A/B testing lifecycle, from hypothesis definition to design iteration. Highlight how you balanced design intuition with data-driven decisions, and emphasize the iterative nature of the collaboration. Keep the focus on outcomes and learnings, not just process.

Pro tip: Show that you treat designers as equal partners in experimentation, not just executors—involve them in interpreting results and deciding next steps. This demonstrates cross-functional leadership and respect for craft, which is critical at a design-forward company like Perplexity.

1. Set the Context and Hypothesis

Briefly describe the product area and the specific hypothesis you wanted to test. Explain how you involved designers early to ensure the test was grounded in user empathy and design principles.

2. Co-Design the Experiment

Detail how you worked with designers to create variants that were both visually coherent and strategically different. Mention tools like Figma or design sprints to show hands-on collaboration.

3. Define Success Metrics Together

Explain how you aligned on primary and secondary metrics, ensuring designers understood trade-offs (e.g., engagement vs. conversion). This shows shared ownership of outcomes.

4. Analyze and Iterate

Describe how you reviewed results with designers, discussed qualitative feedback, and decided on next iterations. Emphasize that even losing tests provided valuable design insights.

5. Scale and Systemize Learnings

Share how you documented findings and updated design systems or playbooks to inform future tests. This demonstrates long-term impact and process improvement.

Key Points to Mention

  • Involving designers in hypothesis formation to ensure user-centric tests
  • Using collaborative tools (e.g., Figma, Miro) for variant creation and feedback
  • Aligning on metrics and defining what 'success' looks like for both PM and design
  • Interpreting results together, including qualitative insights from user research
  • Iterating quickly based on test outcomes, even when results are negative
  • Documenting and sharing learnings to improve future cross-functional collaboration

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