Behavioral and Leadership Technical Screen — Software Engineer

Context

You’ll be assessed on how you make and communicate decisions, collaborate across functions, and drive measurable outcomes. Use concrete examples, quantify results, and clarify your role.

Instructions

• Use a structured format (e.g., STAR: Situation, Task, Action, Result).
• Emphasize impact with metrics (e.g., p50/p95 latency, conversion, crash rate, dev velocity).
• Be concise and specific about your contributions.

Questions

1. Career Path and Transitions
   • Walk through your career chronologically.
   • Why each move? What impact did you deliver? How did your responsibilities evolve?
2. Frontend Architecture Project (Deep Dive)
   • Describe a project where you led frontend architecture.
   • Cover:
     • Goals and constraints (scale, latency, reliability, security/compliance, timelines, team size).
     • Key decisions and trade-offs (e.g., SSR vs CSR, state management, bundling/build, micro-frontend vs modular monolith, design system, accessibility, observability).
     • Collaboration and decision process.
     • Measurable outcomes (before/after metrics, developer velocity, reliability, business impact).
     • Lessons learned.
3. Ambiguity or Pushback to Protect Quality/UX
   • A time you handled ambiguity or pushed back to protect quality or user experience.
   • Context, alternatives considered, your actions, and results.
4. Conflict Resolution
   • A conflict with a teammate or cross-functional partner.
   • How you approached, resolved, and what changed afterward.
5. Failure or Mistake
   • A meaningful failure or mistake.
   • What you learned and what you do differently now.
6. Leadership Behaviors
   • How you demonstrate: collaboration, ownership, customer obsession, bias for action, and high standards.
   • Provide one concise example for each.
7. Learning and Mentorship
   • How you learn new technologies, elevate your team, and mentor others.
   • Include specific practices and outcomes.
8. Motivation: Desktop AI Product
   • Why are you interested in building a desktop AI product?
   • What unique value would you bring?