Choose a project where you had clear ownership and can articulate the full lifecycle from problem to outcome. Structure your answer as a narrative that highlights your decision-making process, trade-offs, and learnings, tailored to HarveyAI's focus on AI and system design. Be concise but detailed enough to demonstrate technical depth and adaptability.
Pro tip: Quantify the impact of your project (e.g., performance improvements, user adoption) and explicitly connect your learnings to how you would approach similar challenges at HarveyAI. Show that you think like an owner, not just a coder.
Briefly describe the project's background, the problem it solved, and why it mattered to the business or users. Keep it high-level to orient the interviewer.
Clearly state your specific responsibilities and ownership. Highlight what you personally drove versus what was team effort.
Outline the system architecture, then dive into 2-3 critical technical decisions. For each, explain the trade-offs you considered and why you chose that path.
Summarize how you implemented the solution, focusing on any obstacles you overcame and how you adapted to changes or ambiguity.
Quantify the results (e.g., metrics, user feedback) and reflect on what you learned. Connect the learnings to future work or how you've applied them since.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.