Gupshup is a Bengaluru and San Francisco conversational-AI platform that runs the WhatsApp Business API and pushes 10B+ messages a month, so interviews reward messaging-at-scale thinking.
The backend is Go and Java with Python for the ML and LLM work behind their ACE model, so expect coding rounds in your primary language plus questions on high-throughput message delivery. Their domain (multi-channel CPaaS across WhatsApp, SMS, and RCS) shows up in design questions: delivery guarantees, retries, rate limits set by Meta, and chatbot NLP pipelines.
About Gupshup
Gupshup is a San Francisco / Bengaluru conversational AI platform providing WhatsApp Business API, chatbots, and AI agent builder for enterprises. World's largest CPaaS for messaging.
Online coding assessment: 2-3 DSA problems, medium difficulty
Technical round 1: DSA plus language and concurrency fundamentals
Technical round 2: messaging system design or NLP pipeline discussion
Hiring manager and behavioral round: ownership and scale mindset
Online Assessment (60 min)
2-3 medium DSA problems as the first filter.
Technical Round 1 (60 min)
DSA with follow-ups on concurrency and complexity, usually in Go or Java.
Technical Round 2 / System Design (60 min)
Design a message-delivery pipeline with provider rate limits, retries, and delivery callbacks, or discuss a chatbot NLP pipeline.
Hiring Manager Round (45 min)
Ownership, scale mindset, and interest in the messaging or conversational-AI domain.
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Sign up free: unlock all questionsThe typical Gupshup recruitment process has 4 stages: Online coding assessment: 2-3 DSA problems, medium difficulty → Technical round 1: DSA plus language and concurrency fundamentals → Technical round 2: messaging system design or NLP pipeline discussion → Hiring manager and behavioral round: ownership and scale mindset.
Gupshup typically conducts 4 interview rounds: Online Assessment (60 min): 2-3 medium DSA problems as the first filter.; Technical Round 1 (60 min): DSA with follow-ups on concurrency and complexity, usually in Go or Java.; Technical Round 2 / System Design (60 min): Design a message-delivery pipeline with provider rate limits, retries, and delivery callbacks, or discuss a chatbot NLP pipeline.; Hiring Manager Round (45 min): Ownership, scale mindset, and interest in the messaging or conversational-AI domain..
HireStepX recommends the Messaging pipeline design framework for this type of interview: Ingest, queue, provider rate limits, delivery retries, idempotent status callbacks, at-scale throughput.
To answer this question well, HireStepX recommends the Messaging pipeline design approach: Ingest, queue, provider rate limits, delivery retries, idempotent status callbacks, at-scale throughput. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Messaging pipeline design approach: Ingest, queue, provider rate limits, delivery retries, idempotent status callbacks, at-scale throughput. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Messaging pipeline design approach: Ingest, queue, provider rate limits, delivery retries, idempotent status callbacks, at-scale throughput. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Messaging pipeline design approach: Ingest, queue, provider rate limits, delivery retries, idempotent status callbacks, at-scale throughput. Ground your answer in a specific real example from your own experience.
To answer this question well, HireStepX recommends the Messaging pipeline design approach: Ingest, queue, provider rate limits, delivery retries, idempotent status callbacks, at-scale throughput. Ground your answer in a specific real example from your own experience.