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REQUIREMENT_ID_1392 β€’ 3-DAY_ACTIVE_POLICY

International Chat Support Executive

Company
Company Featured Tech Partner
Type
Opportunity Type Internship
Salary
Stipend / Salary 2.5-3.5 LPA plus incentives
Location
Location Bengaluru, Karnataka
Posted Date
Posted Date Sep 28, 2026
Excellent verbal and written communication English proficiency Customer service orientation CRM tool usage Problem solving Empathy Multitasking Basic computer skills Chat handling Time management
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Aptitude Practice Questions Open Resource β†—
Curated set of quantitative, logical and verbal questions to sharpen the reasoning skills required for the written test.
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Company Interview Preparation Guide Open Resource β†—
Insights on typical interview patterns, common questions and best‑practice answers for roles at large BPO firms.
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General Interview Prep Resources Open Resource β†—
Comprehensive coverage of HR, aptitude and situational questions with tips to improve confidence during interviews.
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Algorithm and Data Structure Problems Open Resource β†—
Practice problems to enhance logical thinking and problem‑solving abilities, useful for aptitude and scenario‑based questions.

PUC (12th) / Diploma (3 years) / Undergraduate (any stream) / BE / B.Tech / Graduate (any discipline) are eligible. Minimum age 30 years, maximum 33 years. No specific percentage requirement, but a minimum of 60% in the qualifying exam is preferred. Freshers and candidates with up to 1 year of relevant BPO or sales experience can apply. Backlog policy: candidates should have cleared all pending backlogs before the interview date.

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Round 1: Written aptitude and logical reasoning test
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Round 2: Role‑play / chat handling simulation and technical discussion
3
Round 3: HR interview focusing on cultural fit and career aspirations
24/7.ai is a leading global provider of AI‑powered customer experience solutions. Founded in 2000, the company combines conversational AI, automation and a large, multilingual workforce to deliver hyper‑personalised support for brands across more than 18 locations worldwide. With a workforce of over 15,000 employees, 24/7.ai has been recognised as a Great Place to Work for six consecutive years in India, reflecting its focus on employee growth, inclusive culture and continuous learning. The firm serves Fortune‑500 clients in sectors such as e‑commerce, finance, travel and telecom, handling millions of interactions every day through voice, chat and social channels. The International Chat Support Executive role is a walk‑in, entry‑level opportunity designed for fresh graduates or candidates with a few months of BPO/sales experience. As a member of the Customer Success & Operations team, you will be the first point of contact for international customers reaching out via chat. Your primary mission is to understand customer queries, provide accurate information, resolve issues promptly, and ensure a seamless, empathetic experience across different time zones and cultural contexts. The position offers a clear career trajectory – high performers can move to senior chat specialist, team lead, and eventually into operations or quality‑assurance roles. Key Responsibilities: 1. Respond to inbound international customer inquiries through chat platforms in a professional and courteous manner. 2. Accurately capture and log customer details using the company’s CRM tools. 3. Diagnose issues, provide product/service information, and guide customers to appropriate resolutions. 4. Escalate complex cases to the relevant functional teams while ensuring proper hand‑off documentation. 5. Maintain consistent tone and empathy, adapting communication style to diverse cultural backgrounds. 6. Meet or exceed defined service level agreements (SLAs) for response time and resolution quality. 7. Participate in regular training sessions on new products, policies, and chat handling techniques. 8. Contribute to knowledge‑base articles and process improvement suggestions based on recurring customer queries. 9. Adhere to data‑privacy and security guidelines while handling sensitive customer information. 10. Collaborate with peers and supervisors to achieve team targets and maintain high customer satisfaction scores. Tech Stack & Tools: The role primarily uses web‑based chat consoles, CRM platforms (such as Salesforce or Zoho), ticketing systems, and AI‑assisted suggestion tools that surface relevant answers in real time. Basic computer literacy, proficiency in MS Office, and familiarity with internet navigation are essential. Growth Path: Starting as a Chat Support Executive, you can progress to Senior Chat Specialist, then to Team Lead, Operations Supervisor, and eventually to Managerial positions within the Customer Success division. The company also offers cross‑functional mobility into quality assurance, training, and product specialist tracks. Why Join 24/7.ai? The organization provides a vibrant, technology‑driven environment where fresh talent is nurtured through structured onboarding, continuous up‑skilling, and mentorship. Employees enjoy benefits such as free two‑way cab service, medical insurance for self and dependents, a five‑day work week with rotational offs, and exposure to global clients that enhance professional credibility. The role also offers a competitive salary range of 2.5‑3.5β€―LPA plus incentives, making it an attractive launchpad for a career in the booming BPO and CX industry.

Featured Tech Partner β€” Data Analytics & SQL 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 🎯
Featured Tech Partner Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Featured Tech Partner 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 (Excellent verbal and written communication, English proficiency, Customer service orientation, CRM tool usage, Problem solving, Empathy, Multitasking, Basic computer skills, Chat handling, Time management) & 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
Featured Tech Partner Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Featured Tech Partner as a International Chat Support Executive?
Preparation Tip: Highlight Featured Tech Partner's market reputation, recent tech innovations, and how your skills in Excellent verbal and written communication 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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