Updated by Netflix candidates
L5 Software Engineer, Ads Interview Experience
The recruiter literally told me the system design prompt was frequency capping, and even with that heads-up the real test was whether I could talk about ads like I actually live in that world. If you get the terminology half wrong, it feels like a red flag immediately.
Interview process
The whole process was really fast for me, about three weeks end to end, and the ads org was super snappy about scheduling and responses. The recruiter reached out because my background lined up with what they want, and it felt obvious from the start that this team cares a lot more about ads domain fluency than generic big tech interview performance. I had a recruiter screen, a TTL cache phone screen, and then a five-round onsite with one coding round, two behavioral EM rounds, data modeling, and system design. The technicals were mostly straightforward if I could talk through tradeoffs, but the behaviorals were a much harder vibe check than I expected. I am still waiting to hear back, but the biggest thing I took away is that if I can speak confidently about how ads serving, demand, targeting, and capping actually work, they will forgive more than they would at other companies.
- Recruiter screen
- Phone interview
- Final round
Interview tips
If I were telling a friend how to prep, I would say spend way more time understanding the ads business than grinding random interview questions. I literally took the job req, broke it down team by team, and mapped what each team probably owns, what services they touch, and what data models they care about. Read Google Ad Manager docs, especially around buying, targeting, and frequency capping, because the details matter. Then do enough DSA questions to not get surprised if one interviewer throws in a toy tree problem anyway. Also get your behavioral stories tight, because I learned the hard way that one fuzzy story can make you feel terrible even if the rest of the loop is strong.
Company culture
On the ads side, they feel extremely bullish right now and they are clearly staffing up hard. The process was fast, the recruiters were responsive, and I got the sense they are running a ton of interviews. What surprised me is that the loop did not feel very classic Netflix to me. There was not much culture memo probing, and the behavioral style felt way more like Amazon, which makes sense because I heard they pulled in a lot of people from Amazon Ads. The signal they seem to care most about is not just whether I am technically strong, but whether I already speak the ads domain fluently enough to be useful right away.
Questions asked
Overview
The coding round in the onsite was the one that felt the least domain-specific. I got a tree traversal problem built around an org chart, and it honestly caught me off guard because I expected something more practical. The interviewer helped me quite a bit, so it ended up feeling collaborative.
Question types asked
Specific questions asked
Can you solve the three parts in one traversal?
The org chart was a tree of employees and direct reports. One part was computing each person's level, another was deciding whether someone was balanced by comparing how many people were above them versus below them, and the last was building a histogram by level. I initially thought about solving each part separately, but the interviewer nudged me toward doing it in one loop. I was shaky here, and he basically steered me to the final shape of the solution.
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