Choose your team wisely - Backend Engineer Intern TikTok Employee Review

3.0
3 Mar 2024
Recommend
CEO approval
Business outlook

Pros

- good pay - great office - good pantry - free lunch through catering - free cab if you go home late

Cons

- depending on the team, it can be very Chinese-oriented - a lot of documentation is in Chinese - heard from non-Chinese full-time team members that they feel less prioritised for promotions and salary raises compared to Chinese people - a lot of on-call duties - engineering culture does not seem very good (not much automated testing, rare refactoring, use of ourdated technology (objective-C instead of Swift)) - bad work-life balance (even in places where it's officially 10am to 7pm, it can be de facto 9am to 9pm) - no opportunities for learning (you're too busy working all the time)

Explore other reviews about TikTok

5.0
2 July 2026
Recommend
CEO approval
Business outlook

Pros

High visibility Full coaching Lots of opportunities

Cons

High pressure Limited work life balance

2.0
15 June 2026
Recommend
CEO approval
Business outlook

Pros

Pay is level with industry and actual work is somewhat interesting depending on the team you're on

Cons

In my experience, career growth can feel very limited if you are not part of the dominant internal language and cultural network. A significant amount of important context, communication, and decision-making happens in Chinese, which can make non-Chinese-speaking employees feel excluded from key conversations and promotion opportunities. The environment did not feel as inclusive as it should be for a global company. Advancement often felt less tied to performance and more tied to whether you were connected to the right groups or able to operate fluently within the Chinese-speaking side of the organization. Over time, it felt like non-Chinese-speaking employees had fewer long-term career paths and were at risk of being replaced by people who could better fit that internal operating model. Things also move very slowly because employees are often given access only to the bare minimum needed to do their jobs. There is a heavy push toward using AI tools, but in practice it can make it harder to get help from real people. Instead of getting quick support, you often have to spend time going through AI bots or internal tools before getting a useful answer.

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