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Grammarly·Software Engineer·Onsite - Behavioral / Leadership·Staff

Staff
Jun 2026

Summary

Director-level behavioral round at Grammarly where you're expected to walk through two of your past projects in serious depth. Not a casual chat, they want specifics on what you built, why, and what it actually changed.

Questions Asked (3)

Q1

Walk me through one of your significant projects end-to-end, including the problem you were solving, your approach, your specific role, and the outcome.

Technical Trade-offsAdaptability & AmbiguityCross-functional Alignment
Author's notes

The part that got me was 'your specific role.' I kept sliding into 'we did this, we decided that' and the interviewer kept pulling me back.

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AI HintsAI Generated

Suggested Approach

Choose a project that demonstrates technical depth, cross-functional collaboration, and measurable impact. Structure your answer using a narrative arc: context, problem, your role, approach, challenges, and results. Highlight trade-offs and how you navigated ambiguity.

Pro tip: Quantify the outcome with metrics (e.g., latency reduction, user engagement) and explicitly state what you learned or would do differently. This shows self-awareness and growth mindset.

1. Set the Context

Briefly describe the project, team, and business goal to orient the interviewer. Mention the scale and why it mattered.

2. Define the Problem

Clearly articulate the problem you were solving, including constraints and success criteria. Highlight any ambiguity you faced.

3. Explain Your Approach

Walk through your technical approach, key decisions, and trade-offs. Emphasize your specific contributions and how you collaborated with others.

4. Discuss Challenges & Adaptations

Describe obstacles you encountered and how you adapted. Show how you handled ambiguity or changing requirements.

5. Share the Outcome & Learnings

Present measurable results and impact. Reflect on what you learned and how it influenced your future work.

Key Points to Mention

  • Technical trade-offs (e.g., performance vs. maintainability, build vs. buy)
  • Cross-functional collaboration (e.g., working with product, design, data science)
  • Adaptability to changing requirements or ambiguous problem spaces
  • Quantifiable outcomes (e.g., reduced latency by X%, increased user retention by Y%)
  • Your specific role and individual contributions within the team
  • Lessons learned and how you applied them to subsequent projects

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

Q2

Why did you make the key decisions you made during this project, and what alternatives did you consider?

Technical Trade-offsAdaptability & Ambiguity
Author's notes

Blanked for a second on the alternatives part.

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AI HintsAI Generated

Suggested Approach

Choose a project where you made a significant technical decision, and structure your answer around the problem, the alternatives you weighed, and the rationale for your choice. Emphasize how you balanced trade-offs and adapted to constraints, and conclude with the outcome and what you learned.

Pro tip: Show that you considered non-obvious alternatives and explicitly tie your decision to business or user impact—this demonstrates product thinking and maturity beyond pure technical skills.

1. Set the context

Briefly describe the project, your role, and the specific decision you need to explain. Keep it concise to focus on the decision-making process.

2. State the decision and rationale

Clearly state what you decided and the key reasons: technical constraints, user needs, team skills, timeline, etc. Explain why this option was the best fit.

3. Discuss alternatives considered

List 2-3 realistic alternatives you evaluated, and explain why you rejected them. Show that you did due diligence and understood the trade-offs.

4. Highlight trade-offs and adaptability

Acknowledge the downsides of your chosen approach and how you mitigated them. If you pivoted mid-project, explain what triggered the change and how you adapted.

5. Share the outcome and learnings

Summarize the results (e.g., performance, user impact, team velocity) and reflect on what you learned or would do differently next time.

Key Points to Mention

  • Specific technical trade-offs (e.g., performance vs. maintainability, build vs. buy, monolith vs. microservices)
  • How you gathered data or input to inform the decision (e.g., benchmarks, user feedback, team discussions)
  • Constraints that influenced your choice (e.g., time, budget, legacy systems, team expertise)
  • Alternatives you seriously considered and why they were less suitable
  • How you handled uncertainty or ambiguity, and any pivots you made
  • The measurable impact of your decision and lessons learned

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

Q3

What was the measurable impact of the project, and how did you know it was successful?

Product Analytics & MetricsRoot Cause Analysis
Author's notes

Had numbers ready and that saved me.

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AI HintsAI Generated

Suggested Approach

Choose a project where you can clearly articulate the before-and-after state, quantify the impact with specific metrics, and explain how you measured success. Connect the metrics to business outcomes and reflect on what you learned from the data.

Pro tip: Tie your metrics to a north-star business goal (e.g., user retention or revenue) and mention how you validated the data to avoid false positives, showing you think like a product engineer.

1. Set the context

Briefly describe the project, your role, and the problem it aimed to solve, including the baseline metrics before your work.

2. Define success metrics

Explain which metrics you chose to measure success (e.g., latency, conversion rate, error rate) and why they were the right indicators.

3. Quantify the impact

Provide specific numbers showing the improvement (e.g., 'reduced page load time by 40%' or 'increased user engagement by 15%') and compare to the baseline.

4. Explain measurement method

Describe how you collected and analyzed the data (e.g., A/B testing, dashboards, user feedback) and any challenges in measurement.

5. Reflect on learnings

Share what you learned from the results, how you validated success, and any follow-up actions or iterations based on the data.

Key Points to Mention

  • Specific quantitative metrics (e.g., latency reduction, conversion rate increase, error rate decrease)
  • Baseline vs. post-project comparison to show measurable change
  • Method of measurement (e.g., A/B testing, analytics tools, user surveys)
  • Connection to business impact (e.g., revenue, user retention, customer satisfaction)
  • Validation of data to ensure accuracy and avoid misleading conclusions
  • Iterative improvements or next steps based on the measured outcomes

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