This is where I fumbled a bit at the start.
Choose a project where you played a key role in defining the problem, not just solving it. Use a structured narrative (e.g., STAR) to show how you uncovered the underlying need, framed it with data and user impact, and aligned stakeholders. Emphasize the ambiguity you navigated and the product sense you applied to scope the problem effectively.
Pro tip: At Uber, interviewers value engineers who think like product owners. Show that you proactively identified the problem by digging into metrics, user feedback, or system pain points, and that you defined success criteria before jumping to solutions.
Briefly describe the project, your role, and the team. Mention the product area and why it mattered to the business or users.
Explain how you discovered the problem—through data analysis, user research, or operational pain. Highlight the symptoms and their impact.
Describe how you framed the problem: what was the core user or business need? What constraints existed? How did you prioritize?
Show how you got buy-in from stakeholders and validated your problem definition with data or user feedback. Mention any trade-offs.
Summarize the solution and its impact, then reflect on what you learned about problem definition and ambiguity.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
I had a decent answer here but I think I undersold the alternatives.
Choose a specific technical decision you made where you evaluated multiple options, and walk through the alternatives you considered, the criteria you used to evaluate them, and the concrete reasons you ruled them out. Be honest about trade-offs and show that your choice was deliberate and data-driven, not arbitrary.
Pro tip: Frame your decision in terms of business and user impact, not just technical elegance—Uber values engineers who optimize for real-world outcomes like latency, cost, and scalability. Also, briefly mention what you'd do differently in hindsight or under different constraints to show self-awareness and adaptability.
Briefly describe the problem you were solving, the constraints (e.g., scale, latency, team expertise), and why a decision was needed.
Name 2-3 other approaches you seriously considered, showing you explored the solution space beyond the obvious.
State the factors you used to compare options, such as performance, maintainability, cost, time-to-market, or team familiarity.
For each alternative, give a specific reason it fell short against your criteria, using data or concrete examples where possible.
Summarize why your final choice best met the criteria and briefly mention the results or lessons learned.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
This is where the conversation got interesting.
Choose a project where you made significant technical decisions, and structure your answer around the problem, the options considered, the tradeoffs evaluated, and the rationale for the final choice. Emphasize the impact of your decisions on scalability, reliability, and maintainability, aligning with Uber's engineering challenges.
Pro tip: Quantify the tradeoffs with concrete metrics (e.g., latency, cost, throughput) and acknowledge any downsides or lessons learned, showing you think like a senior engineer who balances business and technical needs.
Briefly describe the project's goal, your role, and the scale or constraints that made the technical decisions non-trivial.
Clearly articulate the main technical decision you faced, such as choosing between a monolithic vs. microservices architecture or SQL vs. NoSQL.
Discuss the options you considered and the tradeoffs involved, focusing on dimensions like performance, scalability, consistency, cost, and development speed.
Describe why you chose the option you did, referencing data, experiments, or business requirements that tipped the balance.
Share the results (e.g., improved latency, reduced costs) and any lessons learned or what you would do differently, showing growth and self-awareness.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Choose a project where you owned a clear metric, explain why that metric mattered to the business, and quantify both the target and the actual outcome. Be transparent about any gap between goal and result, and focus on what you learned and how you iterated.
Pro tip: Uber values a 'go-getter' mindset and data-driven decisions, so emphasize how you used data to course-correct when results fell short, and tie your metric to a broader business impact like rider retention or driver utilization.
Briefly describe the project, your role, and why the metric you chose was the right one to optimize for the business.
State the specific metric (e.g., conversion rate, latency, retention) and the target you aimed to achieve, including how you set that target.
Summarize the key actions you took to move the metric, highlighting any experiments, data analysis, or cross-functional collaboration.
Quantify the outcome with concrete numbers, comparing it to the target, and be honest if you fell short.
Share what you learned from the result, how you adapted, and what you would do differently next time.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Choose a specific project where you encountered a significant blocker, ideally one involving cross-functional alignment or stakeholder management. Use the STAR method to structure your answer, focusing on the actions you took to overcome the blocker and the results achieved. Emphasize collaboration, communication, and problem-solving skills.
Pro tip: Show how you turned the blocker into an opportunity by improving processes or strengthening relationships, and quantify the impact where possible. Uber values ownership and collaboration, so highlight how you proactively involved stakeholders and drove alignment.
Briefly describe the project, your role, and the team structure to give the interviewer a clear picture of the situation.
Clearly state the blocker, emphasizing its impact on the project and why it required cross-functional alignment or stakeholder management.
Explain the specific steps you took to address the blocker, such as facilitating meetings, negotiating priorities, or escalating appropriately.
Share the results of your actions, including how the blocker was resolved, the project's success, and any positive impact on team dynamics or processes.
Conclude with what you learned from the experience and how you've applied those lessons to prevent or handle similar blockers in the future.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
I gave a pretty generic answer about investing more in observability earlier.
Choose a specific project you led or contributed to, and frame your answer around concrete technical decisions you would revisit. Focus on trade-offs you made under uncertainty and how you would optimize for scalability, reliability, and velocity differently with hindsight. Show self-awareness and growth without being overly self-critical.
Pro tip: Emphasize that you would validate assumptions earlier with data or prototypes, and tie your improvements to Uber's engineering principles like scalability and fault tolerance. Avoid saying you would change everything—show that you can prioritize the highest-impact changes.
Briefly describe the project, your role, and its goals so the interviewer understands the baseline. Keep it concise and focus on aspects relevant to the changes you'll discuss.
Highlight 2-3 critical technical decisions you made (e.g., architecture, technology stack, data model) and the constraints or uncertainties at the time. Explain why you chose them.
For each decision, describe what you would do differently now and why. Focus on improvements in scalability, maintainability, performance, or team velocity.
Explain how these changes would have improved outcomes (e.g., reduced technical debt, faster iteration) and what you learned that you apply today.
Wrap up by reiterating the most impactful change and how it reflects your growth as an engineer. Keep it forward-looking and positive.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Use the STAR method to describe a specific project, clearly delineating your individual actions and decisions from the team's collective work. Emphasize how your contributions complemented the team's efforts and drove the project forward, while acknowledging the collaborative nature of the work.
Pro tip: Be precise about your contributions without overstating them; interviewers value honesty and self-awareness. Highlight how you supported others and how the team's success was a shared achievement, showing you're a team player.
Briefly describe the project, its goals, and the team structure, including your role and the team's size. This helps the interviewer understand the scope and your position.
Summarize how the team planned to tackle the project, including any major milestones or challenges. This shows you understand the big picture and the team's strategy.
Clearly state what you personally did, using 'I' statements. Focus on your actions, decisions, and the impact you had on the project's success.
Describe how your work interfaced with others' efforts and how the team collaborated to achieve the outcome. This demonstrates respect and teamwork.
Conclude with the overall result and what you learned about working in a team, especially in ambiguous situations. Tie back to the role and company values.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.