Sprinklr builds a unified customer experience management (Unified-CXM) platform that large brands use for social media, customer care, marketing and research, with engineering roles posted mainly in Gurugram and Bengaluru. It has long called its software engineers product engineers, and candidates consistently describe DSA-heavy loops, with design rounds added at senior levels. This page covers what Sprinklr builds and who it hires, the process candidates commonly report, the technical depth the teams care about, representative problem types, what interviewers score, and a three-week prep plan.
What Sprinklr builds and who it hires
Sprinklr, founded in New York in 2009 and listed on the New York Stock Exchange since 2021, sells one platform that listens to and answers customers across social networks, messaging, chat, email and voice, plus AI agents and copilots for contact centres. Its back-end postings ask for Java with Spring and Spring Boot and for stores and pipelines such as MongoDB, Elasticsearch, Cassandra, ScyllaDB and Kafka, so search, large document stores and event streams are everyday work.
- Product engineer: graduates and early-career engineers, many hired through campus drives.
- Senior and lead product engineers: back-end Java services and distributed systems.
- Front-end engineers: the web app that agents and marketers work in all day.
- ML engineers: AI agents, classification and analytics.
What the process tends to look like
| Stage | What happens | How to prepare |
|---|---|---|
| Recruiter call, referral or campus drive | Role, level (product engineer, senior or lead), team and timeline | Know the platform and your own résumé in detail |
| Online coding test (campus) | Reports describe three problems with points weighted by difficulty and a score cut-off for interviews | 2D DP, greedy and medium graph problems |
| DSA rounds | Two or three rounds, often one or two problems each, LeetCode medium to hard | Heaps, DP, binary search, tries and streams |
| Implement the structure | Some interviewers ask you to build a priority queue or a hash map yourself, with follow-ups | Write heaps and hash maps from scratch |
| LLD and system design (senior roles) | Working-code LLD, such as a crawler that reports failing URLs, and HLD, such as a live viewer count | Concurrency, queues and counters at scale |
| HR or culture round | Past experiences and situational questions; one campus report says it was not eliminatory | Two clear stories with results |
Processes differ by team, level and office and change over time, so treat this as the common shape candidates report and confirm the specifics with your recruiter.
DSA depth, LLD and SaaS platform design
DSA is the core. Across campus, product engineer and senior reports, most rounds are algorithm problems: the median of a data stream, longest valid parentheses, task scheduling, the minimum number of platforms, searching a sorted array of unknown size, and DP on grids. Interviewers push for the optimal solution and clean code on a shared document or editor.
Build the structure yourself. A recurring twist is to implement a priority queue or a hash map after using one, with follow-ups on resizing, collisions and complexity. Practice writing a binary heap and a hash map with chaining or open addressing without notes.
Platform design for enterprise SaaS. Sprinklr's product ingests conversations from many channels for many large brands. Good design material includes ingesting and deduplicating social posts, routing a customer message to the right agent queue, full-text search over large document stores, per-customer isolation and rate limits, and counting live viewers or events in real time.
Representative problem types
These are the kinds of problems candidates describe, not a leaked question list. Practice the category, not the exact question.
- Find the median of a data stream with two heaps.
- Schedule tasks with cooldowns, or find the minimum number of railway platforms.
- Search a sorted array whose size is unknown.
- Implement a priority queue or a hash map with resizing.
- Build a crawler that visits URLs and reports the ones returning errors.
- Design a live viewer counter for a streaming event.
- Design message routing from social and chat channels to agent queues.
What interviewers score
- Working code: a solution that runs, handles edge cases and is readable by the next engineer.
- Practical judgment: the trade-offs you name and the simplest design that meets the requirement.
- Product sense: understanding who the user is and what failure looks like for them.
- Ownership: examples where you shipped, measured and fixed things yourself.
The behavioral side
Technical rounds decide most outcomes, but every Sprinklr loop also asks about how you work. Prepare a short story for each of these, with a result and what you learned:
- Something you shipped end to end. Cover the user problem, your decisions, what you measured and what you would change.
- A disagreement with a teammate. Show how you made the decision on evidence and kept the relationship.
- Why this company? Connect its product and engineering problems to the work you want to do next.
Structures and sample answers for the common questions are in our software engineer behavioral answers guide.
A three-week prep plan
- Week 1: practical coding: build small features against an API, parse and transform data, and write tests, in the language you will interview in.
- Week 2: system design for the company's domain, plus two behavioral stories about shipping and fixing something under pressure.
- Week 3: timed mixed problems, a mock interview every other day, and research into the product and its engineering blog.
For practice lists, use LeetCode company-tagged questions, the Striver A2Z sheet or the Love Babbar 450 sheet, and if your drive starts with a test, read our guide to new-grad online assessments.
Where CoPilot Interview fits
Most of a Sprinklr loop is spoken: you explain an approach, defend a trade-off and talk through your past work. CoPilot Interview is an AI interview assistant whose free AI mock interview builds technical and behavioral questions from your résumé and the job description, reads them aloud and scores each spoken answer out of ten, so you can rehearse the explanation as well as the code. The free plan gives 15 minutes a day of live help in sessions of up to 15 minutes, with AI mock interviews included. Online assessments and many coding rounds forbid outside help, so practice beforehand and follow your employer's rules on the day.
Disclosure: CoPilot Interview is our product, so weigh what we say about it accordingly.
Frequently asked questions
What programming language should I use in a Sprinklr interview?
Use your strongest language for DSA rounds. Java is the safest choice for back-end roles, because Sprinklr's postings ask for Java with Spring and Spring Boot.
Does Sprinklr send an online assessment?
Campus drives start with an online coding test, reported as three problems with a score cut-off. Experienced candidates usually start with a recruiter call and DSA rounds. Our <a href="/blog/hackerrank-assessment-guide">HackerRank assessment guide</a> explains how timed tests work.
What is a product engineer at Sprinklr?
It is the title Sprinklr has long used for software engineers, with levels such as product engineer, senior product engineer and lead product engineer; some recent postings say software development engineer instead. The interview content matches a software engineer loop: DSA rounds first, with LLD and system design added as the level rises.
How should I prepare for Sprinklr coding questions?
Practice practical problems under time limits, build small features against an API in your interview language, and prepare one system design in Sprinklr's domain. Explain every solution out loud, because follow-up questions about trade-offs matter as much as the first answer.
Can I use AI tools in a Sprinklr interview?
Only if the instructions you receive say so. Online assessments and live coding rounds generally forbid outside help, and some companies now state their AI policy in the invitation. Use AI to practice beforehand, and follow your employer's rules.
Practice this interview before the real one
The AI mock interview builds questions from your resume and the job description, reads them aloud and scores each spoken answer out of 10. Included on the free plan.
Start a mock interview