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ElevenLabs·Software Engineer·Onsite - Coding / Algorithms·Intermediate

IntermediateRejected
Jun 2026Remote

Summary

Did a coding round with ElevenLabs, solved the problem, and still got rejected because I ran out of time to walk through my code at the end. The interviewer literally said the solution looked good. Still bitter about it.

Questions Asked (1)

Q1

Implement a solution to a medium-difficulty, implementation-heavy coding problem.

Algorithms & Data Structures
Author's notes

Got it done.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem constraints and edge cases, then outline a high-level algorithm before coding. Implement the solution incrementally, testing with small examples, and optimize if time permits.

Pro tip: Communicate your thought process continuously and write clean, modular code with meaningful variable names; interviewers value clarity and maintainability as much as correctness.

1. Understand and Clarify

Ask clarifying questions to confirm input/output formats, constraints, and edge cases. Restate the problem in your own words to ensure alignment.

2. Plan the Approach

Discuss possible algorithms and data structures, analyze time/space complexity, and choose the most efficient one that fits the constraints.

3. Implement Incrementally

Write code in small, testable chunks, explaining each part. Use helper functions for clarity and handle edge cases explicitly.

4. Test and Debug

Walk through your code with a simple example, then test edge cases. If bugs arise, debug systematically by tracing variable values.

5. Optimize and Review

If time allows, discuss potential optimizations and trade-offs. Review code for readability and correctness, and summarize the solution.

Key Points to Mention

  • Time and space complexity analysis of the chosen approach
  • Edge cases such as empty input, single element, large input, duplicates
  • Choice of data structures and why they are appropriate
  • Modular code design with clear separation of concerns
  • Testing strategy including unit tests and manual walkthroughs
  • Potential optimizations and alternative approaches

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