Despite the direction of the recent changes at the company, including layoffs, cuts, and an overall shift in how the company is perceived internally, most Googlers are still awesome people to work with. The work is usually done with great care, and you can learn a lot from everyone around you.
The company sometimes seems to change faster than it can operate, causing a lot of non-trivial ambiguity to be navigated.
The experience you are going to have inside such a big company can vary a lot.
Managers held more power than what the internal training seemed to suggest. Despite being there for only two years, I've seen multiple cases of people getting ahead because of how they portray themselves and others, instead of because of their contributions.
Tell me about yourself. Why did you apply to our company? What are your weaknesses? What are your strengths? Brain teasers. Whiteboard questions. On a scale of 1-10, how likely are you to suggest?
Three technical interviews were conducted over the phone using a Google Doc. There were no behavioral questions. * The first interview asked language-specific questions and a difficult algorithmic question about a matrix. * The second interview
The process involves a phone screening followed by an onsite interview. The onsite interview consists of four 45-minute rounds, with a 15-minute break. Problems presented are not common and are difficult to guess. However, knowing your algorithms a
Tell me about yourself. Why did you apply to our company? What are your weaknesses? What are your strengths? Brain teasers. Whiteboard questions. On a scale of 1-10, how likely are you to suggest?
Three technical interviews were conducted over the phone using a Google Doc. There were no behavioral questions. * The first interview asked language-specific questions and a difficult algorithmic question about a matrix. * The second interview
The process involves a phone screening followed by an onsite interview. The onsite interview consists of four 45-minute rounds, with a 15-minute break. Problems presented are not common and are difficult to guess. However, knowing your algorithms a