Very interesting company, with a lot of job opportunities and awesome projects.
Zendesk pays a lot of attention to its employees, frequently asking for their thoughts and reacting if something is not right.
Zendesk, as a company, is currently very successful, so the future is bright.
The company has many interesting initiatives, like CSR (giving back to the community by doing benevolent actions).
Company goals are very clear and well-known by all employees. All top-level goals are then translated into meaningful goals for your team. This helps to stay focused and maintain a correct global vision.
Zendesk invests a lot of attention and money in the recruiting process. Having many people involved in a recruitment process helps to identify the right person for the right job. It's very common to be in the recruiting process for a person who could become your peer in the next months. So your voice will be heard, and it helps to build trust right from the start.
Zendesk is growing fast, so it's hard sometimes to keep up the pace. New teams, new leaders/managers, so you need to be pretty flexible to navigate this.
Stay close to your employees, keep listening to them, and continue to give correct visibility to everyone.
Overall, you are doing great. Now we have to keep the same spirit while growing fast.
The interview process was straightforward. The process moved quickly across the different stages of the hiring process. Questions were related to the job and its requirements, instead of being generic questions.
There is a total of 3-4 rounds. One is by the QA Manager, then from a QA who is currently working, and then from a Senior Manager. So, it all was done in a week.
1 intro call, 1 call with the Head of AI about expectations and past experience, 1 coding interview of 1 hour in Python to create a graph structure, 1 architecture design interview of 1 hour of a multiservice LLM platform.
The interview process was straightforward. The process moved quickly across the different stages of the hiring process. Questions were related to the job and its requirements, instead of being generic questions.
There is a total of 3-4 rounds. One is by the QA Manager, then from a QA who is currently working, and then from a Senior Manager. So, it all was done in a week.
1 intro call, 1 call with the Head of AI about expectations and past experience, 1 coding interview of 1 hour in Python to create a graph structure, 1 architecture design interview of 1 hour of a multiservice LLM platform.