The no-follow-up thing is what makes this format weirdly stressful.
Select one or two projects that directly align with OtterAI's focus on real-time collaboration, audio processing, or scalable systems. Use a structured narrative that highlights the problem, your specific contributions, technical decisions with trade-offs, and quantifiable results. Emphasize how your choices balanced performance, scalability, and user experience.
Pro tip: Quantify outcomes with metrics like latency reduction, cost savings, or user engagement, and explicitly discuss trade-offs you considered—this shows engineering maturity and aligns with OtterAI's emphasis on technical trade-offs and adaptability.
Briefly describe the project's purpose, the team size, and the business or user problem it addressed. Highlight why it was challenging or ambiguous.
Clearly state your specific responsibilities and contributions. Avoid vague 'we' statements; focus on what you personally did.
Walk through key architectural choices, technologies used, and trade-offs considered (e.g., latency vs. accuracy, build vs. buy). Justify why you chose your approach.
Provide a high-level overview of the system design, including components, data flow, and how they interact. Use simple diagrams if helpful.
Conclude with concrete results: performance improvements, cost reductions, user adoption, or lessons learned. Tie back to business impact.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.