# How do you manage a team? | Aced Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/questions/387/manage-team Source observed: 2026-11-04T21:34:34.271Z Last checked: 2026-11-04T21:34:34.271+00:00 Indexed: 2026-11-05T02:38:09.284+00:00 --- # How do you manage a team? We provide interview-preparation resources through Aced, formerly Exponent. This Behavioral interview question has **7 interviews** associated with it, with experiences shared by candidates in Product Manager, Engineering Manager, and Machine Learning Engineer roles. The question has **14 saves**, and the page records that it was last asked **16 days ago** at the source observation time of 2026-11-04. Detailed company statistics require an upgrade: [Upgrade](https://www.aced.io/upgrade?src=questions). ## Interview experiences Six candidate experiences are shared for this question. Each entry links to its full experience. ### Revolut — Product Manager, Senior / L5 [Read the Revolut interview experience](https://www.aced.io/experiences/revolut-senior-product-manager-interview-9bc1e4) Reported 16 days ago. The candidate described a roughly 35-minute problem-solving round with a product owner. The case concerned growing Revolut for Business revenue over 12 months while maintaining at least the current gross-profit margin. The interviewer explained that no prior Revolut knowledge was needed and emphasized asking clarifying questions. The candidate received data on revenue by country, segment, and revenue source when requested; when data was unavailable, the interviewer asked the candidate to make assumptions. The round ended with a short update. The candidate found the atmosphere relaxed and the answers to questions useful, but listed many levers without sizing the gap or checking each idea against the margin constraint. ### Hotstar — Engineering Manager, Mid Level / L4 [Read the Hotstar interview experience](https://www.aced.io/experiences/hotstar-engineering-manager-interview-9b1681) Reported 2 months ago. The candidate described the process as good but slow and said they needed more practice and time during the technical interview. ### Scribd — Engineering Manager, Staff / L6 [Read the Scribd interview experience](https://www.aced.io/experiences/scribd-staff-engineering-manager-interview-cceef4) Reported 2 months ago. The candidate said the initial recruiter round went well and included questions about their experience and data platforms. ### Microsoft — Machine Learning Engineer, Entry Level / L3 [Read the Microsoft interview experience](https://www.aced.io/experiences/microsoft-machine-learning-engineer-interview-f29ce8) Reported 7 months ago. The candidate said the live-coding and system-architecture rounds went smoothly and that they clearly explained API-design, database-strategy, and high-availability choices for microservices. The behavioral portion felt slightly rushed because time was spent discussing cross-functional project dynamics from previous roles. Compared with other interviews, this process was described as significantly more interactive: interviewers challenged assumptions and asked “what if” questions, making the evaluation feel comprehensive and realistic to day-to-day work. ### Amazon — Product Manager, Entry Level / L3 [Read the Amazon interview experience](https://www.aced.io/experiences/amazon-product-manager-interview-1fdb9b) Reported 9 months ago. The candidate said the interview went well, with some technical questions for which the interviewer provided assistance. ### Meta — Product Manager, Sr. Staff / L7 [Read the Meta interview experience](https://www.aced.io/experiences/meta-facebook-sr-staff-product-manager-interview-4cd1a9) Reported a year ago. The candidate described a recruiter screen, a PM aptitude screen, and a full onsite loop for a PM-leadership role managing PMs at approximately an L7-equivalent level. They spent more than 100 hours preparing. The loop covered people management, cross-functional influence, execution and metrics, operating, project retrospectives, and product sense. Interviewer guidance varied: some interviewers lightly guided the candidate while others provided no guidance. The candidate was rejected and attributed the likely weaknesses to insufficient metrics depth in the final execution-style round and insufficient depth on secondary metrics in product sense. ## Community answers No answers have been contributed by the community yet. ## Related questions - [How do you manage your team's performance?](https://www.aced.io/questions/1803/managing-team-performance) - [How do you work in a team?](https://www.aced.io/questions/6948/describe-working-in-team) - [How do you hire your team?](https://www.aced.io/questions/492/how-to-hire-team) ## Related courses ### [Machine Learning Engineer Interview Prep](https://www.aced.io/courses/ml-engineer) ![Machine Learning Engineer Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/6UfkHxUyLQVfDHSfLNQtWa/1be1539a65b4f6f15201f5b573c0a578/ML_Engineer_Interview_Prep_Course.jpeg?w=800&h=800&fm=webp&q=75) We help candidates prepare for machine-learning roles at Meta, Google, Amazon, Apple, Microsoft, Nvidia, and other top companies through mock interviews, frameworks, and advice from senior candidates. Topics include ML system design, core concepts, coding, behavioral interviews, and more. ### [Engineering Management Interview Prep](https://www.aced.io/courses/engineering-management) ![Engineering Management Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/5AqarwlCDWmr0W7AbMJFwp/16862dab13471f5eb8728b27eb2fbc07/engineering_management_track_compressed_bbabaec4a6__281_29_9a9687c1fb.jpeg?w=800&h=800&fm=webp&q=75) We help candidates prepare for engineering-manager roles at Meta, Google, Amazon, Microsoft, Stripe, and other top companies. Topics include system design, people management, project retrospectives, behavioral interviews, and more. ## Your answer Submitting your answer marks this question complete. 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