Candidates describe Sprinklr's software engineer interviews as an online assessment, several DSA-heavy technical rounds with project discussion, and an HR conversation. Medium-to-hard DP, graph and tree problems come up often.
$133K
Avg. Base Comp
$165K
Avg. Total Comp
3-5 rounds
Typical Rounds
Not reported
Process Length
Candidates who interviewed for Sprinklr software engineer roles most often describe an online assessment followed by technical rounds and an HR conversation. Several report that the technical bar is medium-to-hard data structures and algorithms, with dynamic programming, graphs and trees recurring. Specific problems reported include LIS-style DP, maximal rectangle, topological sort, Dijkstra with a bitmasking follow-up, wildcard matching, a running median and an LRU cache. One candidate said the interviewer cared about thought process, and another described a follow-up that changed the requirements mid-problem, so practice extending a working solution rather than memorizing one.
Projects matter too. Multiple candidates say interviewers spent real time on their resumes, asking about technology choices, databases and backend decisions. One SDET candidate said interviewers opened GitHub links and asked about the code, so know everything you list.
Beyond DSA, reports vary by round. Some mention computer fundamentals such as OS and networking, a few mention system design (an API rate limiter, an e-commerce UI, an LRU cache discussion), and one reports a curveball puzzle about 25 horses. The HR round is usually described as conversational, covering motivation and strengths, though outcomes after it differed between candidates. Reported interviewer styles and feedback speed also varied, so expect some inconsistency. Because the evidence is mixed across levels and years, treat round order as typical rather than fixed.
Synthesized from 18 candidate reports by our editorial team.
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Real interview reports from people who went through the Sprinklr process.
I came through campus placements, so the process started with an online assessment. It had two medium DSA problems and one hard one, and the hard one was the one that really took my time. I got shortlisted and moved on to the interview rounds.
The first technical round was mostly a single medium DSA problem built around Dijkstra's algorithm. Once I had a working solution, the interviewer added a follow-up that brought in bitmasking, so I had to rethink the state I was tracking. The pacing was steady, and the interviewer cared more about how I reasoned through the changes than about getting to the final answer quickly.
The second round was a bit different. The interviewer opened by asking me to walk through my project in depth, and then moved into a system design question: design an API rate limiter. This is where I had to think about trade-offs and how the pieces would fit together, not just write code. I'd say this round was the one that separated the interviews from the OA.
The last round was an HR round, and it was pretty relaxed. They wanted me to explain my projects again, in full, and asked what I do outside of studying. They closed by asking whether I had any questions for them.
I received an accepted offer. My main takeaway is that the technical bar was mostly about being able to extend a solution when the interviewer changes the requirements, so practice that rather than only memorizing standard implementations.
Prep tip from this candidate
Be comfortable with Dijkstra's algorithm and then with modifying it under a new constraint, since the first round's follow-up added bitmasking to the state. Also prepare to design a rate limiter from scratch and explain your trade-offs, and be ready to walk through your projects in depth before any design discussion.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Sprinklr
Write a function that tests whether a string of brackets is balanced.
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Synthesized from candidate reports. Individual experiences may vary.
Most candidates report starting with an online assessment of DSA or competitive-programming style problems, with difficulty ranging from medium to hard. One campus candidate also reported MCQs on networks, git, Linux and DSA alongside two coding questions. Expect it to act as a filter before interviews.
Candidates typically report one to three technical rounds centered on DSA. Reported topics include dynamic programming, graphs, trees, heaps, binary search and sliding window. Interviewers reportedly value explaining your reasoning, and some offer hints or add follow-up constraints once you have a working solution.
Several candidates say a round or large part of one focused on their projects, including tech stack, database and backend choices. One candidate reports interviewers opening listed GitHub links. Be prepared to justify decisions and explain what you personally built, since follow-ups may come directly from your resume.
Some candidates report design or fundamentals questions mixed into technical rounds, such as an API rate limiter, an e-commerce UI, LRU cache discussion, OS case studies or caching and indexing trade-offs. This does not appear in every report, so it may depend on the interviewer and level.
Candidates commonly describe a final HR conversation about motivation, strengths and weaknesses, and projects. Reports differ in tone, from a brief casual chat to an hour-long discussion.
