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Poor decisions occasionally by execs and leadership that do not make sense in terms of company long-term success.
Laying off 20k+ talented employees when you have one of the largest profit margins in big tech companies simply does not make sense for the long-term success of the company (from financial, public reputation, employee morale, ethics, etc.).
Poor efficiency implementation models. As a big tech company, it is expected to make much better long-term decisions using data. However, the decisions are made based on old models for short-term gains, which is very ineffective long-term.
Poor decisions are occasionally made by execs and leadership that do not make sense in terms of company long-term success. Meta has great profit margins, and its employees generate much more revenue for the company compared to their cost. (Revenue generated by N employees is more than 3X higher than compensation for those N employees, on average).
Laying off 20k+ talented employees (considering the above equation, recruiting & onboarding costs, etc.), where you have one of the largest profit margins in big tech companies in the world, simply does not make sense for the long-term success of the company (from financial, public reputation, employee morale, ethical, long-term growth, competitiveness, etc., perspectives).
Poor efficiency models are implemented. As a big tech company and a data-driven company, it is expected to make much better data-driven long-term decisions. However, the decisions are made based on old models for short-term gains, which is very ineffective long-term.
(Some examples:
HR call, then LeetCode questions. These included a mix of SQL and Python, covering data structures and algorithms. I had to answer 5 out of 10 questions within 50 minutes to pass.
The first round consisted of five SQL and five Python questions, to be completed in 25 minutes. This was followed by a recruiter screen. There was a full loop round planned, but I did not make it to that stage. It was pretty difficult, and they did
The process was smooth, beginning with a recruiter call, followed by a final loop of six interviews. There was also an informal round where I spoke with a random engineer about work-life at Meta. The entire process was easy and comfortable.
HR call, then LeetCode questions. These included a mix of SQL and Python, covering data structures and algorithms. I had to answer 5 out of 10 questions within 50 minutes to pass.
The first round consisted of five SQL and five Python questions, to be completed in 25 minutes. This was followed by a recruiter screen. There was a full loop round planned, but I did not make it to that stage. It was pretty difficult, and they did
The process was smooth, beginning with a recruiter call, followed by a final loop of six interviews. There was also an informal round where I spoke with a random engineer about work-life at Meta. The entire process was easy and comfortable.