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Welcome to Exponent's EM Course!

Engineering management interviews test a specific blend of skills: how you lead people, how you make execution decisions under uncertainty, and how you reason about technical tradeoffs without writing the code yourself. This course is designed to help you prepare across all three.

We've worked with engineering managers from companies like Meta, Amazon, Airbnb, Google, Dropbox, and Stripe to build this curriculum. After coaching hundreds of candidates, we know there's no shortcut around real practice. That's why the Exponent membership includes:

  • Practice questions across people management, execution, system design, and project retrospectives.
  • A peer-to-peer mock interview platform for live practice with other EM candidates.
  • Hundreds of EM interview lessons, questions, and answers.
  • Frameworks for behavioral, system design, and project retrospective rounds.
  • Detailed interview process guides across companies hiring EMs.
  • Access to our Slack community for support throughout your prep.

Goals of this course

By the end of the course, you should be able to:

  • Understand what's evaluated across the full EM interview loop.
  • Build a rich story bank from your past experience for behavioral and people management rounds.
  • Describe your approach to building, growing, and managing high-performing engineering teams.
  • Discuss complex technical decisions in system design interviews.
  • Deliver a compelling project retrospective that holds up to deep follow-ups on tradeoffs and decisions.

Reports from EM candidates interviewing at companies including Meta, Netflix, and Amazon point to a few consistent shifts in what interviewers care about:

  • Behavioral loops are getting heavier and more specific. Candidates are reporting multiple behavioral and people management rounds in a single loop, with detailed questioning on low performers, high performers, PIPs, conflict, hiring, and times you genuinely got something wrong. Generic STAR answers are not holding up.
  • Project retrospectives go past surface-level summaries. Interviewers are pushing into why you made the calls you made, what tradeoffs you accepted, what metrics you used, and what you would do differently. Candidates who came in with crisp examples and specifics did better than candidates relying on general experience.
  • The technical bar is real, even when management is your strength. Coding rounds, system design, and code review still gate the loop at several companies. Some candidates have been rejected on the technical side despite strong management answers, so coding and design prep cannot be deprioritized.
  • System design depth is the differentiator at experienced loops. At companies with tenured EM interviewers, candidates report being pushed hard on tradeoff discussions, scale, and reliability decisions rather than on getting to a working diagram.
  • AI-assisted coding rounds are starting to appear in EM loops. Meta in particular has introduced an AI-assisted coding round for EM candidates, which is worth flagging if you have not interviewed in the last year.

These shifts do not replace the fundamentals. They raise the bar on them. Strong people management answers still come from real stories with real tradeoffs. Strong system design answers still come from clear reasoning about scale, reliability, and cost.

This course is structured around that reality, with deeper coverage of people management, system design, and behavioral storytelling for engineering leaders.

How to use this course

EM interview questions generally fall into three categories:

  • People management. Sometimes called leadership or behavioral questions, these test how you manage individuals and teams. Expect detailed questions on performance management, hiring, motivating high performers, conflict, cross-functional collaboration, and feedback you've given and received.
  • Execution. These cover short-term project management and longer-term strategy: roadmaps, prioritization, balancing tech debt against new work, and how you define and measure success. Execution often shows up inside behavioral interviews or as part of a project retrospective.
  • Technical skills. EMs aren't writing production code in the loop, but you're expected to make informed technical decisions. This is usually assessed through system design, project retrospectives, and at some companies, code review or coding rounds.

The lessons in this course are organized around these categories. Start with a few questions from each section to get a sense of your strengths and gaps, then go deeper in the areas that matter most for your target role and level.

If you're already an experienced EM, feel free to skip this intro module and jump straight into people management or any other section that matches your prep needs.

For practice questions, record your own answer first, then compare it against our solution. There's rarely one correct answer in EM interviewing. What matters is whether you can reason clearly, communicate tradeoffs, and adapt to follow-ups. Use the comparison to identify how to sharpen your structure and specifics.

Once you've worked through the lessons, keep practicing in our interview question database. We select the top answers to provide detailed feedback and analysis.

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