Powertown: Intial CTO call + Project deep dive interview

Position: Software Engineer
Company: Powertown (
Interview Period: 2026

Sharing my recent SWE interview experience at an early-stage startup.
The interview process was somewhat different from traditional big tech interviews. There was a strong emphasis on engineering ownership, technical decision-making, communication, and AI-assisted development.

Round 1: Initial Conversation
The first round focused primarily on background, motivation, and team fit.
Some questions included:

• Tell me about yourself and your engineering background.
• Why are you interested in joining our company?
• Why do you want to work at an early-stage startup?
• What makes you a good fit for a small engineering team?
• What motivates you professionally and personally?
• How do you usually approach your day-to-day work?
• Which aspects of our product or engineering challenges interest you the most?
• How would your previous experience help you contribute to the team?
• Can you describe your responsibilities in your previous role?

The interviewer also explained the company's product, engineering culture, and expectations around ownership.
Overall, this round was conversational rather than technical.

Round 2: Project Deep Dive
The second round focused on a technical project from my previous experience.
I was asked to explain the project's background, architecture, implementation decisions, challenges, and potential improvements.

The interviewer emphasized that this was not a traditional system design interview. Instead, the goal was to evaluate how I approached real engineering problems and made technical decisions.

Part 1: Project Background and Technical Decisions

• What problem were you trying to solve?
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  Popular Interview Questions from Top Companies
  
  
  
  
  • Technical ownership: Understanding the problem and being able to justify design decisions.
  • Engineering trade-offs: Explaining why certain solutions were chosen over alternatives.
  • AI-assisted development: Demonstrating how AI tools fit into a structured engineering workflow.
  • Reliability: Understanding failure scenarios, safeguards, and operational risks.
  • Scalability: Reasoning about performance bottlenecks and future growth.
  • Communication: Explaining technical concepts clearly and responding to follow-up questions.
  One thing I noticed was that the interviewer often asked for concrete examples rather than accepting abstract explanations.
  My recommendation is to prepare a project you know extremely well. Be ready to explain the original problem, architecture, trade-offs, limitations, and what you would improve with more time.
  Also, prepare to discuss how you use AI coding tools in practice, especially how you validate generated code and maintain engineering ownership.