~learn.
SaaS & dev tools · New York (large engineering centre in Gurugram)

Sprinklr.

An AI-native customer experience platform unifying social listening, publishing, marketing and customer care across 30+ channels for large enterprises.

its questions lean on
  • data structures and classic LLD
  • caching
  • search and indexing
  • high-volume social data ingestion
  • multi-channel routing

The rounds, as candidates describe them

  1. Technical rounds (Product Engineer, on-campus)Several technical rounds, mostly DSA, with a short design question (Chess, a URL service) in later rounds, then HR.source ↗
  2. Core subjects and design conceptsOperating systems, DBMS and basic system design concepts alongside DSA.source ↗

Reported by candidates

From public interview write-ups; each links its source.

Likely, from what they build

Our pick, not a report: questions that fit Sprinklr's products.

Study path

Every lesson the questions above point to, once, in order.

  1. 01SQ-10Twitter/X
  2. 02IP-07Design a News Feed
  3. 03LLD-02Design an LRU Cache
  4. 04IP-01Design a URL Shortener
  5. 05W01 · BOSSDesign a URL Shortener at Scale
  6. 06LLD-04Design an Elevator System
  7. 07W07 · DAY 01Search Fundamentals & Architecture
  8. 08W07 · DAY 02Indexing Pipeline
  9. 09W00 · PART 2Infrastructure Building Blocks
  10. 10W00 · PART 4Networking Fundamentals for System Design
  11. 11W08 · DAY 01Event Ingestion at Scale
  12. 12W03 · DAY 03Backpressure and Flow Control
  13. 13W09 · BOSSDesign a Multi-Tenant Enterprise SaaS Platform
  14. 14IP-08Design a Chat System
  15. 15W03 · DAY 01Queue vs Stream
  16. 16IP-17Design a Distributed Job Scheduler
  17. 17W01 · DAY 03Rate Limiting at Scale
  18. 18W02 · DAY 04Webhook Delivery System

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