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Customer Success Engineer Interview Questions
526 customer success engineer interview questions shared by candidates
Explain your experience with specific developer tools, analytic tools. Do you have experience working with enterprise accounts?
Q: Given this example of HTML, write a CSS selector to target the "Buy Now" button. Q: Tell me about your Persistence, Passion, and Integrity and why you want to work here. (You'll hear alllll about those three words from the higher-ups if you get the job.)
Describe what customer success means to you.
Tell me about your background. Where do you see yourself in next few years?
Tell me about your Experience in data and analytics
What is most important thing when you collaborating with other team.
Many questions related to Pyspark
The overall interview experience is bad. The process had 7 rounds in a span of 1.5 months. I've listed down the experience per session. - HR Round: Basic HR questions but focussed more on salary expectations. I proposed a 30% standard hike and HR agreed. - Managerial Round: Googled Managerial round questions and some grilling on experiences. Same salary expectations. ***** at this point, the salary was discussed twice ***** - Technical Round 1: Take home questions. 15 hands-on questions. If you know spark and databricks, you'll be able to crack it easily. - Technical Round 2: A round with Lead Engineer to grill you more on the take home questions. Optimization questions. Case study and scenario based questions. - Architect Round : Scenario based question. Business and Environment understanding and compatibility. Communication. daily Situational issues. - Presentation Round: Business problem with data. 1 week to present the findings using a ppt. ***** Now if you clear all the rounds, they will ask for references from your previous organizations ***** - Compensation Negotiation: Great part, right? NO... they offer peanuts... an 8% hike.... disappointing after almost 2 months... wastage of time... and then a lot of follow-ups and lies..
Analyze/Build a model with this dataset and present results to panel.
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