Real, anonymous reports from people who interviewed for Software Engineer at Anaplan, newest first and distilled into what to expect across the loop.
After a recruiter conversation, the process moved smoothly through a sequence of technical rounds that felt structured and well paced. In my loop, there were four technical discussions followed by a separate fitment-style conversation, and everything stayed on track without a lot of waiting around. The people interviewing were approachable and helpful, and the whole thing felt organized rather than chaotic.
My loop started with three strong technical rounds that felt directly connected to the role—performance engineering, system design, automation, and leadership, with a lot of discussion about real-world problem solving. Each part felt technically engaging and relevant, and I came away feeling like the early rounds were actually evaluating the skills they needed.
The interview process typically begins with a recruiter call followed by a series of technical rounds, often including system design, coding, and fitment discussions. Candidates noted that the overall flow was generally organized, but some experienced inconsistencies in the final round's focus compared to earlier technical evaluations.
Technical rounds often cover a range of topics including system design, coding exercises, and real-world problem-solving scenarios, with an emphasis on hands-on coding or debugging. Candidates reported that the technical depth varied, with some feeling well-prepared while others faced unexpected shifts in focus during later rounds.
The final rounds often shift towards behavioral and cultural fit discussions, focusing on collaboration, leadership, and personal background rather than technical skills. This aspect can feel disjointed for candidates who expect a continuation of the technical evaluation.
Candidates generally reported a supportive atmosphere during technical evaluations, with interviewers guiding discussions and encouraging problem-solving. However, some candidates experienced logistical issues or chaotic scheduling that detracted from their overall experience.
Feedback during the process varied, with some candidates receiving constructive critiques while others felt the feedback was inconsistent or unclear. The outcome of the interviews often left candidates feeling uncertain, especially when expectations shifted unexpectedly.
Candidates noted that the technical depth required in interviews could be quite high, with expectations for specific knowledge areas like Kubernetes or data structures. Some candidates felt that the evaluation criteria were not always aligned with the role they were applying for, leading to confusion.