The process included an initial HM screen, followed by four structured rounds: an engineering collab interview, a analytical deep dive, a technical round, and a case study. Most rounds were thoughtful and aligned with the role, but final decisions appeared to hinge disproportionately on one round, making the outcome feel less balanced. Pros: 1. Datadog is doing impressive work in observability and cloud-native infrastructure. 2. The interview process was structured well on paper, with clear stages and relevant case studies. 3. Conversations with most of the team, especially technical and analytical rounds, were engaging and thoughtful. Cons: 1. The interview experience felt overly reliant on the opinion of one interviewer, despite strong performance across other rounds. 2. Post-interview feedback was vague and contradictory — I was told there was nothing I needed to improve, but still didn’t get an offer. 3. One interviewer seemed disengaged and dismissive, which made the process feel more like gatekeeping than evaluation. 4. The recruiter’s communication style was casual to the point of unprofessionalism in parts, which made the outcome feel even more frustrating. After putting in 2 weeks of hard work, I had a 2 minute phone call from the recruiter to tell me they aren't moving forward. There was no actual feedback. Advice to Management: 1. Refine the debrief process to weigh candidate performance holistically across all rounds. 2. Encourage interviewers to give actionable, transparent feedback — not platitudes. 3. Candidates invest time and energy — they deserve the same from your side.