Interview and Career Coaching for Engineers, Managers, and Senior Leaders

Consistent, strong signals across every round. Peaks don't compensate for valleys. Committees evaluate technical competence calibrated to the target level, problem-solving approach (not just outcomes), communication quality, leadership potential, and growth trajectory. They also care about whether your skills match the expectations for the specific level you're interviewing for. The most common reason for rejection is mixed signals across rounds. If your coding is strong but your system design is shaky, that creates doubt. Your preparation should aim for solid performance everywhere, not perfection in one area.

Read the full guide: How Big Tech Hiring Committees Evaluate Engineering Candidates

It depends on the company, and the rules are still settling. Some companies explicitly allow AI in coding rounds and watch how you use it. Others forbid it. Many are still figuring out their stance, so always ask your recruiter before the interview. When AI is allowed, treat it as a junior pair: use it for boilerplate, but make the reasoning visible. Interviewers care less about whether AI wrote the code and more about whether you can defend every line, explain the trade-offs, and catch what the AI got wrong. Candidates who accept AI suggestions silently are the ones who do not get offers.

Execution is being commoditized. Judgment, taste, and product thinking are becoming far more valuable. AI has commoditized writing code from a clear specification. What it has not commoditized is figuring out which problem to solve and what 'good' looks like. As a result, system design rounds, 'explain this code,' 'what would you change about this design,' and behavioral conversations about real ambiguous decisions are becoming more important. Pure coding velocity, less so.

Read the full guide: How AI Is Changing Software Engineering Careers

Lean into what AI cannot do well: judgment, system design, communication, taste, and product thinking. A few specific habits I recommend to senior engineers: become someone who can sit with ambiguity and define what to build, not just how. Get sharper at code review and design review. Catching what is wrong with an AI-generated PR is real, durable value. Learn enough about LLMs and AI infrastructure to integrate them into your systems, even if you are not an AI specialist. And practice writing: design docs, decision records, team communication. Engineers who can think and communicate clearly will keep growing through this shift.

Read the full guide: How AI Is Changing Software Engineering Careers

Tell clear, specific stories about what you did, not what the team did. Focus on the decisions you made, how you resolved conflicts or navigated ambiguity, and what the measurable outcome was. A structured approach helps: briefly set the context, spend most of your time on your specific actions and reasoning, then share the results. Interviewers want to understand your judgment and initiative, not just the project outcome.

Read the full guide: How to Prepare for Behavioral Interviews in Tech

Lead with concrete leadership stories. Abstract philosophy does not land. EM interviews are fundamentally different from IC interviews. Prepare specific stories about managing underperformers, building teams, navigating organizational challenges, and driving technical strategy through others. The biggest mistake I see: candidates describing what their team accomplished without clearly explaining their personal role and decisions. Every answer should make clear what you specifically decided, initiated, or influenced. Also brush up on system design, because technical credibility still matters even in management roles.

Read the full guide: Engineering Manager Interview Preparation Guide

Real interviews give you a yes/no. Mocks give you the specific feedback you need to actually improve. In a real interview, you perform and then wait for a binary outcome. In a mock interview, you get detailed feedback on exactly where you lost points, what you did well, and what would have elevated your performance. This lets you target your remaining prep time on the areas with the highest return. Mock interviews also build pressure tolerance. The first time you explain a system design with someone watching you and asking follow-up questions is always harder than practicing alone. Better to have that experience in a safe setting than in the real thing.

Read the full guide: Why Mock Interviews Dramatically Improve Performance