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REQUIREMENT_ID_395 β€’ 3-DAY_ACTIVE_POLICY

Customer Support Executive

Company
Company Goodspace AI
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή9–12 LPA
Location
Location Remote (India)
Posted Date
Posted Date Today
Interpersonal Skills Written Communication Verbal Communication Problem-Solving Basic Computer Proficiency Customer Support CRM tools Ticketing Systems Email Etiquette Active Listening
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen logical reasoning and quantitative skills commonly tested in the first interview round.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview formats and questions asked by tech‑focused startups like Goodspace AI.
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Comprehensive Interview Prep Resources Open Resource β†—
Covers a wide range of topics from communication skills to scenario‑based problem solving useful for support roles.

Bachelor's degree in any discipline (Engineering, Arts, Commerce, Science, etc.). Freshers and candidates with up to 3 years of experience are welcome. Candidates should be able to work full‑time remotely from any location in India.

1
Round 1: Aptitude & Logical Reasoning Test
2
Round 2: Customer Support / Technical Interview (scenario based)
3
Round 3: HR Interview (culture fit and salary discussion)
Goodspace AI is a fast‑growing Indian startup that leverages artificial intelligence to simplify career discovery for millions of professionals and accelerate hiring for companies. The platform combines AI‑driven job matching, skill assessment, and personalized career guidance, helping users find better opportunities while giving recruiters a smarter talent pool. Backed by seasoned entrepreneurs and technology veterans, Goodspace AI has quickly scaled its user base and is now looking to enrich its customer experience with a dedicated support team. As a Customer Support Executive at Goodspace AI, you will be the first point of contact for users who need assistance with the platform’s features, troubleshooting, and overall experience. Working fully remotely from anywhere in India, you will interact with customers via chat, email, and phone, ensuring that every query is addressed promptly and professionally. This role offers a unique chance to work closely with product, engineering, and operations teams, gaining insight into how AI products are built and refined based on real‑world feedback. Key Responsibilities: 1. Respond to customer queries across chat, email, and phone within defined SLAs. 2. Diagnose and resolve product‑related issues by guiding users through features and workflows. 3. Escalate complex technical problems to the appropriate internal teams while tracking progress. 4. Maintain detailed logs of interactions, resolutions, and recurring pain points in the CRM system. 5. Identify patterns in customer feedback and collaborate with product managers to suggest improvements. 6. Conduct onboarding calls or webinars to help new users get the most out of the platform. 7. Participate in regular knowledge‑sharing sessions to keep the support team updated on new releases. 8. Meet or exceed monthly customer satisfaction (CSAT) and first‑contact resolution (FCR) targets. 9. Assist in creating and updating self‑service documentation and FAQs. 10. Contribute ideas for process automation using AI‑powered chatbots and ticketing tools. Tech Stack & Tools: The role primarily uses cloud‑based CRM platforms (e.g., Freshdesk, Zendesk), ticketing systems, AI‑enabled chat assistants, and basic office productivity suites (Google Workspace, Microsoft Office). Familiarity with Slack or Microsoft Teams for internal communication is also beneficial. Growth Path: Starting as a Customer Support Executive, high performers can progress to Senior Support Executive, Team Lead, or Customer Success Manager, eventually moving into product liaison or operations roles. Goodspace AI encourages continuous learning, offering internal training on AI fundamentals, communication skills, and advanced support tools. Why Join Goodspace AI? You will be part of an innovative AI‑driven product that impacts millions of job seekers, enjoy the flexibility of a fully remote work setup, and receive a competitive salary package of β‚Ή9‑12β€―LPA. The startup environment promises rapid ownership, mentorship from experienced product and engineering leaders, and clear avenues for career advancement. If you thrive in a dynamic, customer‑centric culture and love solving problems, Goodspace AI is an ideal place to launch or accelerate your career.

Goodspace AI β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Goodspace AI Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Goodspace AI and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Interpersonal Skills, Written Communication, Verbal Communication, Problem-Solving, Basic Computer Proficiency, Customer Support, CRM tools, Ticketing Systems, Email Etiquette, Active Listening) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Goodspace AI Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Goodspace AI as a Customer Support Executive?
Preparation Tip: Highlight Goodspace AI's market reputation, recent tech innovations, and how your skills in Interpersonal Skills directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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