Went through the Scale AI EM interview loop a couple months ago. Landed the role, so I can speak to what actually worked vs. what I thought they cared about.
First: this is not a standard EM loop. It's heavier on execution and data reasoning than any EM interview I've done in 15 years. They want engineering managers who can hold their own in technical conversations, not just people managers.
The loop structure. For me it was five rounds: recruiter screen, a hiring manager intro, a technical round, two behavioral rounds, and a cross-functional panel.
Technical round. I was surprised. This isn't coding, but it's close to a technical system design conversation. They gave me a scenario: your team owns the annotation quality pipeline and throughput dropped 18% over the last two weeks. Walk me through how you'd diagnose it. I talked about instrumentation: what dashboards exist, what metrics I'd pull first (P95 task completion time, error rates by task type, worker cohort data). Then root cause approaches. Then how I'd coordinate with data eng if it turned out to be a pipeline issue vs. a tasker issue. They want to see that you think in data and that you know enough about the underlying systems to have real conversations with your ICs. If you've been out of the weeds too long, this round will be uncomfortable.
Behavioral rounds. Both were structured STAR format. The questions I got: tell me about a time you had to cut scope significantly under pressure, tell me about a cross-team conflict you had to resolve, tell me about building a team from scratch or after significant attrition. The depth they want: they will drill into your specific decisions, not just the outcome. 'What would you do differently' is always the last question. Have a real answer.
Cross-functional panel. This was with a PM and a DS lead. They wanted to understand how I collaborate across functions. The PM asked how I handle technical debt conversations when product wants velocity. Honest answer: prioritization frameworks, dedicated capacity agreements, making the debt visible. No magic.
Leveling. I came in interviewing at a mid-EM level (team of 6-8 ICs) and was leveled there. Comp for that level in SF 2026: base was $230k, equity on a 4-year schedule, no specifics on the grant until the offer stage.
The thing that matters most is demonstrating technical credibility without overclaiming. They can tell when an EM stopped caring about the technical details and never came back.