# Design Uber — system design interview question 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/1375/design-uber Source observed: 2026-11-04T21:34:40.923Z Last checked: 2026-11-04T21:34:40.923+00:00 Indexed: 2026-11-05T03:04:06.535+00:00 --- # Design Uber. We provide interview preparation through Aced (formerly Exponent), including questions, interview experiences, courses, practice, and coaching. This page is a system design interview question for designing Uber. ## Question details - **Category:** System Design - **Reported interviews:** 4 - **Last asked:** 10 months ago - **Roles associated with this question:** [Product Manager](https://www.aced.io/questions?role=pm), [Software Engineer](https://www.aced.io/questions?role=swe), [Data Engineer](https://www.aced.io/questions?role=data-engineer) - **Companies associated with this question:** [Meta](https://www.aced.io/questions?company=meta-facebook), [Zamp AI](https://www.aced.io/questions?company=zamp-ai), [Atlassian](https://www.aced.io/questions?company=atlassian), [Uber](https://www.aced.io/questions?company=uber) The detailed answer for this question is available to members. Membership includes: - 100+ expert answer videos - Access to all courses - Peer-to-peer practice - Private Discord community - Full question database [Upgrade](https://www.aced.io/upgrade?src=questions) or [upgrade now](https://www.aced.io/upgrade?src=questions). ## Interview experiences Three shared interview experiences are associated with this question: 1. **[Meta · 10 months ago](https://www.aced.io/experiences/meta-facebook-staff-product-manager-interview-9c8d56)** — Product Manager, Staff / L6. An interviewee described an IC6 PM process consisting of a recruiter screen, two screening interviews covering product sense and analytics, a final loop covering product sense, analytics, and L&D, and team matching. The questions sounded simple, but interviewers expected detailed solutions. Product sense focused on MVP, the end-to-end experience, competition, and differentiation. In analytics, the interviewee had to drive the discussion when the interviewer was very quiet. 2. **[Zamp AI · a year ago](https://www.aced.io/experiences/zamp-ai-software-engineer-interview-f9e50c)** — Software Engineer, Mid Level / L4. The interview was described as well structured; the final round required deep Go and distributed-systems understanding. 3. **[Atlassian · 2 years ago](https://www.aced.io/experiences/atlassian-senior-data-engineer-interview-b07d95)** — Data Engineer, Senior / L5. The process was described as smooth, although the recruiter was very slow. The loop followed three weeks of coding screening and centered on a past project and Spark optimization. ## Community answers No answers have been contributed by the community yet. ## Related questions - [Design Uber Eats.](https://www.aced.io/questions/2141/design-uber-eats) - [Design Uber for laundry.](https://www.aced.io/questions/2510/design-uber-for-laundry) - [Design Uber's shared rides.](https://www.aced.io/questions/3278/design-uber-shared-rides) ## Related courses ### [Data Engineering Interview Prep](https://www.aced.io/courses/data-engineering) ![Data Engineering Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/5XoOCgXlGqN2fa1zaroNWd/9a2e23df48a212bc00d352873feb2d6a/Data_Engineer_Interview_Prep_Hero_Image.jpg?w=800&h=800&fm=webp&q=75) We help candidates prepare for data engineering roles at Meta, Google, Amazon, Microsoft, Walmart, DoorDash, and other top companies. The course covers mock interviews, frameworks, advice from senior candidates, data modeling, pipeline design, SQL, coding, and behavioral interviews. ### [Product Management Interview Prep](https://www.aced.io/courses/pm) ![Product Management Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/4PFBEhtIRyKwPm14eaBAFm/ad92a8c4dd1dc51108b3a855de64473b/product_management_track_compressed_063e6d4b35.jpeg?w=800&h=800&fm=webp&q=75) We help candidates prepare for PM roles at Anthropic, OpenAI, Meta, Apple, Google, and more. The course covers AI product-sense rounds, vibe-coding prototypes, metrics questions, the AI fluency interview, product strategy, product sense, analytical and execution skills, leadership and drive, behavioral interviews, and technical PM interviews. ## Submit your answer Use **Your answer** to submit a response; submitting marks this question complete. --- [Read this page’s summary](https://www.aced.io/agents/api/public/v1/page-tldr?url=https%3A%2F%2Fwww.aced.io%2Fquestions%2F1375%2Fdesign-uber&trace=t_679ff9ab98f3) ## Ask a follow-up about this page Need a more specific answer? Ask the exact question you have. It returns a fresh, cited answer from Aced (formerly Exponent)’s knowledge base. No account or API key required. Open this URL with your own question, URL-encoded. Include your question in q. 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