SuperOps.ai Interview Questions, Process, and Tips

Q1. Previous attainments and numbers. Cross referencing them as ARPU vs accounts closed vs targets
Ans. 
I have consistently exceeded targets by closing high ARPU accounts in my previous roles.
• Exceeded sales targets by closing high ARPU accounts consistently

• Achieved a high Average Revenue Per User (ARPU) compared to peers

• Maintained a track record of successful account closures

• Utilized strong negotiation skills to secure high-value deals
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Q2. Previous work experience related questions, understanding the knowledge you bring to the table
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Q1. Sales enablement relevant questions
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Q2. Understanding if you know basic terminologies, abbreviations, sales methodologies, inside sales model, gtm model, technical abilities
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Q1. Final morale and mentality check
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Q2. Understanding my previous role, what I bring to the table
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Q3. Sales scenarios
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Q4. Understanding your goals and testing stress levels based on the same
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Q1. How many years of experience in content writing?
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Q2. What tools are used while using content writing. How do you deal with grammatical errors or plagiarism?
Ans. 
Tools used in content writing include grammar checkers and plagiarism detectors. Errors are corrected by proofreading and editing.
• Grammar checkers like Grammarly or Hemingway Editor are used to identify and correct grammatical errors.

• Plagiarism detectors like Copyscape or Turnitin are used to ensure content is original.

• Proofreading and editing are essential to catch any remaining errors and improve overall quality of t
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Q1. Design DB model
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Designing a DB model involves creating a structure to store and organize data efficiently.
• Identify entities and their relationships

• Normalize data to reduce redundancy

• Choose appropriate data types and constraints

• Consider performance and scalability

• Create indexes for faster data retrieval
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Q1. Data Structure from Scratch
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Creating a data structure from scratch involves designing and implementing a way to store and organize data efficiently.
• Start by defining the requirements and constraints of the data structure.

• Choose an appropriate underlying data structure (e.g. array, linked list, tree).

• Implement the necessary operations for adding, removing, and accessing data.

• Consider performance implications and optimize as needed.

• Test the data st...read more
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They interviewed me on google meet, discussed a little of my work history and asked me a leetcode problem (it was similar to counting unique elements in an array).

Q1. Asked me to design an lru cache, then asked me to change that to an LFU cache. Also asked about prev experience.
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