Atlassian·Machine Learning Engineer·Onsite - Behavioral / Leadership·Senior

Senior

May 2026

Summary

Behavioral round at Atlassian for an ML Engineer role. Just one question but they really sat with it, the follow-up probing went longer than I expected.

Questions Asked (1)

Describe a situation where you disagreed with a decision made by a manager, peer, or stakeholder. What was the context, how did you handle raising your concerns, and what happened as a result?

Conflict ResolutionStakeholder ManagementCross-functional Alignment

Author's notes

I had a decent story ready about a modeling approach I pushed back on, but the follow-ups got granular fast.

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AI HintsAI Generated

Suggested Approach

Choose a disagreement where you had a strong rationale and the outcome was positive, even if you didn't 'win'. Focus on how you sought to understand the other perspective, used data and evidence to make your case, and maintained professionalism throughout. Conclude with what you learned and how the relationship or project benefited.

Pro tip: Emphasize that you disagreed with the decision, not the person, and show that you can commit to a decision even if it doesn't go your way. This demonstrates maturity and teamwork.

1. Set the Context

Briefly describe the project, the decision, and why you disagreed. Keep it concise and focus on the technical or business rationale, not personalities.

2. Explain Your Approach to Raising Concerns

Detail how you prepared your case with data, sought to understand the other side, and chose an appropriate time and channel to discuss it privately.

3. Describe the Conversation

Summarize how you presented your concerns respectfully, listened to their reasoning, and collaborated to find a solution or compromise.

4. Share the Outcome

State what ultimately happened—whether the decision changed or not—and highlight any positive results, such as improved model performance, team alignment, or learning.

5. Reflect and Learn

Conclude with what you learned from the experience and how it improved your ability to handle disagreements or collaborate with stakeholders.

Key Points to Mention

Use data and evidence to support your position, especially relevant for ML roles (e.g., model metrics, A/B test results).
Show empathy by acknowledging the other person's perspective and constraints.
Maintain professionalism and respect throughout the disagreement.
Demonstrate flexibility and willingness to compromise or commit to the final decision.
Highlight the positive outcome, such as improved project results or stronger relationships.
Emphasize learning and how you've applied it to future situations.

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