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Amazon Web Services

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Depends on your manager - Technical Account Manager (TAM) Amazon Web Services Employee Review

3.0
17 May 2023
Recommend
CEO approval
Business outlook

Pros

Great place to learn how be a leader. Everyone is so willing to help and there is never a "not my job" attitude.

Cons

Before I started, I did a lot of research and saw many comments about AWS having a PIP (performance improvement program) culture. I had not experienced that personally until about 15 months in. I got a great annual review and consistently get good feedback from my peers. My manager, however, placed me in a coaching program and provided no notice that they had added me to that list of "under performers." The reasons provided also didn't seem to match up with the standard other peers who have been promoted were judged against. For AWS to be a data driven company, the data points didn't add up and it seemed like they were raising the bar for my situation but my peers weren't held to the same standard. I won't go into how I found out but had I not known I was in a coaching program, I may have been fired sooner. Knowing I was in a coaching program bought me extra time to look for new jobs and make progress on my coaching plan. Aside from that, the TAM role can be extremely stressful. You're expected to put your customers first AND then with your extra time, if you have any, contribute back to the AWS business. The paging situation depends on your team. For my teams, it worked well.

Explore other reviews about Amazon Web Services

5.0
4 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Chill, learn a lot, fast paced. Friendly

Cons

Nothing lol. No layoffs too at Annapurna labs (aws)

4.0
12 May 2026
Recommend
CEO approval
Business outlook

Pros

Operated in systems that had real scale, operational constraints, and production consequences.

Cons

Working at Amazon Web Services gave me strong exposure to distributed systems, operational ownership, and production-scale infrastructure, but there were definitely tradeoffs as well. One downside was that, like many large organizations, ownership could become fragmented. You often own a subsystem or workflow rather than an entire product end-to-end, which can limit exposure to broader architectural decision-making unless you deliberately seek it out. There was also significant process overhead. Design reviews, operational processes, dependency coordination, and organizational alignment were valuable for learning rigor, but they can slow iteration compared to smaller engineering teams. Another challenge is that large internal ecosystems can abstract away infrastructure complexity. AWS has extensive internal tooling, deployment systems, and operational platforms, which are powerful, but some of that experience does not transfer directly outside the company. I also found that operational work could dominate engineering time at points. Handling production issues, retries, integration failures, and on-call responsibilities teaches reliability engineering well, but it can reduce the amount of time spent on deeper technical exploration or greenfield development. Finally, there is the perception aspect. AWS is a strong name, but experienced interviewers know there is wide variance between teams and roles. The company name opens doors, but ultimately you still need to demonstrate technical depth, ownership, and strong engineering judgment independently of the brand.

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