Its values, its interview process and the questions it asks, in short episodes. Listen on a walk, then practice.
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This module maps Uber's competitive positioning against Lyft, DoorDash, Waymo, Tesla, and others across mobility, delivery, and autonomous vehicles. Candidates will learn the "marketplace vs. fleet owner" framework, understand how Uber's 76% ride-share dominance and cross-platform strategy create defensible moats, and synthesize all prior modules into a compelling, specific "Why do you want to work at Uber?" answer that stands out.
This module compiles real behavioral interview questions reported by Uber candidates on Glassdoor, Blind, and interview prep sites, organized by the cultural norm they assess. Candidates will learn how to prepare SOAR stories for each question type, understand what interviewers are really evaluating, and practice connecting their experiences to Uber's specific values of ownership, perseverance, customer obsession, and bold decision-making.
This module provides a comprehensive walkthrough of Uber's 7-stage interview process for software engineers, including the unique Bar Raiser round. Candidates will learn what to expect at each stage, how the hiring committee makes decisions (unanimous agreement required), Glassdoor statistics (49.5% positive, 2.94/5 difficulty), timeline expectations (4-6 weeks), and specific preparation strategies for each round.
This module explores Uber's massive data infrastructure -- the 350-petabyte data lake powered by Apache Hudi (which Uber created), ingesting 6 trillion rows per day, and their significant open source contributions including Hudi, Zap, H3, Kraken, and NullAway. Candidates will understand how Uber's commitment to building and open-sourcing foundational data tools reveals its engineering philosophy and provides rich material for technical discussions.
This module covers Uber's dramatic cultural transformation under CEO Dara Khosrowshahi -- from the crisis-ridden Kalanick era to profitability and ethical governance. Candidates will learn Dara's "head and heart" leadership philosophy, his demanding work culture expectations (the "don't come here if you want to coast" stance), and how this transformation story maps to behavioral interview questions about leadership, resilience, and organizational change.
This module unpacks Uber's 8 cultural norms -- from the original set introduced by Dara Khosrowshahi in 2017 (replacing Travis Kalanick's 14 values) to the current operational values. Candidates will learn each norm in detail, understand how they evolved from a crisis of corporate culture, and see how interviewers use them to evaluate behavioral responses during the Bar Raiser and hiring manager rounds.
This module explores how Uber uses AI and machine learning at massive scale -- from the Michelangelo platform (5,000+ production models, 10 million predictions per second) to the GenAI Gateway serving 16 million queries per month, to uReview, the AI code review system that analyzes 90% of Uber's 65,000 weekly code changes. Candidates will understand Uber's AI-first engineering philosophy and how to connect it to interview answers about technical innovation.
This module dives into Uber's engineering infrastructure -- the Kubernetes migration from Mesos (3M+ cores, 100K daily deployments), their tech stack (Go, Java, Python), DOMA architecture, and the engineering blog themes that reveal what Uber's engineering org cares about most. Candidates will understand the technical challenges at Uber's scale and how to speak credibly about wanting to solve them.
This module covers Uber's aggressive push into autonomous vehicles -- the partnerships, investments, and strategic logic behind becoming the world's largest robotaxi platform. Candidates will learn about the Waabi ($1B deal for 25,000 robotaxis), Nuro/Lucid ($600M+ investment), Wayve, NVIDIA collaboration, and the newly launched Uber Autonomous Solutions division, giving them real substance to discuss Uber's long-term vision in interviews.
This module breaks down Uber's evolution from a ride-hailing app to a multi-sided platform spanning Mobility, Delivery, Freight, and Advertising. Candidates will understand Uber's financial performance ($193B gross bookings, $52B revenue in 2025), its Uber One membership flywheel (46 million subscribers), and the strategic "OS for movement" vision that positions Uber as the essential demand layer for the future of transportation -- including autonomous vehicles.