Real, anonymous reports from people who interviewed for Software Engineer at Intuit Management Consultancy, newest first and distilled into what to expect across the loop.
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The process started with an online assessment through a third-party, and I ended up doing three timed coding parts: a DSA question, an SQL problem, and a Bash scripting task. The whole OA experience was proctored in my case, with a webcam, and it took me about 90 minutes to complete the coding portion. Even though I felt like I handled the DSA and SQL well, the Bash part was always where I felt the most pressure—questions could land in languages I wasn’t expecting, and the wording mattered.
After the OA, I had a recruiter conversation where the focus was less about pure coding and more about how I used AI in real development. I talked through a project from my background and walked through how I prompt and use AI tools to implement features, including what tools I rely on and how I approach problem-solving when using them. Next came a take-home build assignment: a larger, more open-ended coding project completed on my own time (typically framed as something like a few hours, though I was also told there could be a tighter window depending on scheduling). Then I was supposed to have a project review/technical discussion to walk through what I built, with follow-up variations on the original problem.
5 months ago
Difficult Neutral United States
After a recruiter call, I moved into the technical stage where I ran into two pretty demanding problems. The first was a system-design style question about computing the running median of stock prices inside a sliding window. After that, I had to implement an LRU cache and also talk through what it would take to make it thread-safe. The interviewer kept pushing me to justify design decisions and think through tricky parts, and it felt like the questions were testing more than just coding fluency.
What helped is that one of the core ideas actually felt familiar from practice I’d done earlier, so I wasn’t starting from scratch on the cache portion. Once the technical round was over, I had a behavioral interview where I walked through past projects and how I’d collaborated with others. The overall process felt challenging but rewarding, and I ended up receiving an offer that I accepted.
5 months ago
Average Neutral New York, NY
I ended up starting with an OA through a third-party platform and then got pulled into a longer, multi-round pipeline that leaned heavily on AI usage …
5 months ago
Average Positive United States
I went through a pretty opaque stretch of recruiting that was outsourced to Uptime Crew, and I remember the process mainly as a sequence of timed codi…
6 months ago
Difficult Neutral Dallas, TX
My experience was centered on preparation for a very structured behavioral-and-expectations style first step, followed by a set of fairly standard int…
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What to expect
Distilled from the reports
Online Assessment (OA)
The interview process begins with a proctored online assessment that includes a mix of data structures and algorithms (DSA), SQL, and Bash scripting tasks, typically lasting around 90-120 minutes. Candidates often find the Bash component particularly challenging and unexpected.
Online AssessmentDSABash
AI-Focused Recruiter Screen
Following the OA, candidates engage in a recruiter conversation that emphasizes their experience with AI tools in development, including how they use AI in projects. This stage is less technical and more about understanding the candidate's approach to problem-solving.
AI ToolsRecruiter ScreenProblem-Solving
Take-Home Build Assignment
Candidates complete a take-home assignment that often involves a larger coding project or system design task, which they then present in a follow-up technical discussion. This stage assesses both coding skills and the ability to articulate design choices.
Technical interviews include system design questions and coding challenges that require candidates to justify their design decisions and demonstrate a deep understanding of concepts. Interviewers often push candidates to think critically about their solutions.
Technical InterviewSystem DesignCritical Thinking
Behavioral Interviews
Behavioral interviews focus on past experiences, teamwork, and alignment with company values, often using the STAR method for responses. Candidates are expected to articulate their contributions to projects and how they handle challenges.
Behavioral InterviewSTAR MethodTeamwork
Communication and Feedback
Candidates report varying experiences with communication throughout the process, often feeling frustrated by long waits and limited feedback. Some express that the lack of clarity around next steps and outcomes adds to the stress of the experience.