Great perks and benefits.
Solid product with very few challengers.
Lots of smart people.
Outdated tech stack.
Lots of political struggles, leading to lots of re-orgs.
Low performers can vest and rest for a long time.
Unclear company vision.
Instead of chasing the GenAI craze, the leadership should think about how they can actually improve the product according to LinkedIn's mission: "connect the world's professionals to make them more productive and successful."
First two calls were from a LinkedIn recruiter, followed by a one-hour tech interview on Collabedit. They were very responsive. The interview process was good. Focus on improving your algorithms, programming, and JavaScript skills.
I recently interviewed with LinkedIn for the SWE Productivity Engineering team. I worked on around 200-225 LeetCode questions (easy, medium, and hard). The interviewer asked me an array question, and I solved it. Then, he asked me a question relate
I had a call with a recruiter, followed by a technical screening with an engineer. The interviewer asked questions relevant to the role, but I realized it wasn't a good fit for me. Therefore, I told him we could stop the interview.
First two calls were from a LinkedIn recruiter, followed by a one-hour tech interview on Collabedit. They were very responsive. The interview process was good. Focus on improving your algorithms, programming, and JavaScript skills.
I recently interviewed with LinkedIn for the SWE Productivity Engineering team. I worked on around 200-225 LeetCode questions (easy, medium, and hard). The interviewer asked me an array question, and I solved it. Then, he asked me a question relate
I had a call with a recruiter, followed by a technical screening with an engineer. The interviewer asked questions relevant to the role, but I realized it wasn't a good fit for me. Therefore, I told him we could stop the interview.