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LinkedIn·AI Engineer·Onsite - Behavioral / Leadership·Senior

Senior
May 2026

Summary

Behavioral round at LinkedIn for an AI Engineer role. Just one question but it had a lot of moving parts and I wasn't totally prepared for how deep they wanted to go on the influence-without-authority angle.

Questions Asked (1)

Q1

Tell me about a time you influenced a design decision when you didn't have direct authority over it. What was the original direction, what did you push for instead, how did you make your case, and what happened?

Stakeholder ManagementCross-functional AlignmentTechnical Trade-offs
Author's notes

The part that tripped me up was the 'how did you build the case' section.

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AI HintsAI Generated

Suggested Approach

Choose a specific instance where you influenced a design decision without formal authority, and structure your answer using a clear narrative arc: context, original direction, your proposed alternative, how you built your case, and the outcome. Emphasize collaboration, data-driven persuasion, and how you aligned stakeholders by addressing their concerns and highlighting trade-offs.

Pro tip: Focus on how you listened to and incorporated others' perspectives, then used evidence (e.g., experiments, metrics, user research) to make your case—this shows you influence through credibility and empathy, not just argument. Quantify the impact of your influence on the final decision and business outcomes.

1. Set the Context

Briefly describe the project, the team involved, and why a design decision was needed. Clarify your role and the fact that you had no direct authority over the decision-makers.

2. Explain the Original Direction

State what the initial proposal was and why others favored it. Acknowledge its merits to show you understood their perspective.

3. Present Your Alternative

Describe what you pushed for instead and the rationale behind it. Highlight how it addressed gaps or improved outcomes compared to the original direction.

4. Detail Your Influence Strategy

Explain how you made your case: what data, experiments, or prototypes you used; how you communicated with stakeholders; and how you addressed their concerns and built consensus.

5. Share the Outcome and Learnings

Describe what happened: was your suggestion adopted? What was the impact? If not fully adopted, what compromise was reached? Conclude with what you learned about influence and cross-functional collaboration.

Key Points to Mention

  • Use of data or metrics (e.g., A/B test results, model performance improvements) to support your argument
  • Understanding and addressing stakeholder priorities (e.g., scalability, user experience, business goals)
  • Collaboration and communication techniques (e.g., one-on-ones, design reviews, prototyping)
  • Technical trade-offs considered (e.g., model complexity vs. latency, accuracy vs. interpretability)
  • The final decision and its impact on the product or team
  • Reflection on what you learned about influencing without authority

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