This is the centerpiece of the round and I did not treat it seriously enough until I heard from people who failed it.
Choose a project where you can clearly articulate the problem, your specific role, and the impact. Structure your answer to highlight architectural decisions, trade-offs, and measurable results, while emphasizing collaboration and alignment with cross-functional teams. Keep it concise and focused on your contributions.
Pro tip: Quantify outcomes with metrics like latency reduction, cost savings, or user growth, and briefly mention an alternative you considered but rejected—this shows depth and engineering maturity.
Briefly describe the project's goal, scope, and why it mattered to the business or users. Mention the team size and your role.
Outline the system architecture at a high level, focusing on components you directly worked on. Use simple diagrams in words if needed.
Discuss 2-3 critical technical decisions you made, the alternatives considered, and why you chose your approach. Include any cross-functional alignment needed.
Specify what you personally built or led, emphasizing your hands-on work and any challenges you overcame.
Conclude with quantifiable results (e.g., performance improvements, cost reduction, user impact) and any lessons learned.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Acknowledge the collaborative nature of the project and clearly delineate your ownership boundaries. Then, describe the other owners and how you coordinated with them, emphasizing effective communication and alignment. Conclude by reflecting on what you learned from the division of labor and how it contributed to the project's success.
Pro tip: Show that you understand the bigger picture by explaining how the parts you didn't own integrated with your work, and highlight any cross-functional dependencies you managed. This demonstrates systems thinking and stakeholder management.
Briefly describe the project, your role, and the overall goal to orient the interviewer.
State which parts you owned and were accountable for, being specific about your contributions.
Describe the parts you did not own and who owned them (e.g., teammates, other teams, stakeholders).
Detail how you interacted with those owners to ensure alignment, such as through meetings, documentation, or shared goals.
Summarize what you learned from the division of labor and how it impacted the project's outcome or your growth.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
I gave a pretty safe answer about wanting more time for testing.
Choose a project where you made a technical decision that, in hindsight, could have been improved. Focus on what you learned and how you've applied that lesson to subsequent work, rather than dwelling on the mistake. Show self-awareness and a growth mindset.
Pro tip: Emphasize the trade-offs you considered at the time and why they seemed reasonable, then explain what new information or perspective changed your view. This demonstrates maturity and avoids sounding overly self-critical or defensive.
Briefly describe the project, your role, and the specific decision or action you would reconsider. Keep it concise to focus on the reflection.
Share why you made that choice at the time, including constraints, assumptions, or trade-offs you weighed. This shows you are thoughtful and not just hindsight-biased.
Clearly state the alternative approach you would take now and why it would be better, referencing specific technical or process improvements.
Describe the key takeaway from this experience and how it has influenced your subsequent work or decision-making.
Relate the lesson to the challenges at Uber, showing how you'd apply this learning to drive better outcomes in a fast-paced, ambiguous environment.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
If you don't have a number ready, this gets uncomfortable fast.
Choose a project where you defined and tracked clear metrics, and be ready to explain how you established the baseline before your work. Structure your answer to show the baseline, the target, and the actual results, emphasizing how you used data to drive decisions. Highlight any challenges in measurement and how you addressed them.
Pro tip: Quantify the baseline and results with specific numbers, and explain how you ensured the metrics were reliable and aligned with business goals. Mention any trade-offs or limitations in your measurement approach to show analytical rigor.
Briefly describe the project, your role, and why measuring success was important. Keep it concise to focus on metrics.
Explain the key metrics you chose to measure success, such as latency, error rate, or user engagement, and why they were relevant.
Describe how you determined the baseline before your work, including data sources, time periods, and any adjustments made.
Explain how you tracked progress against the baseline, any tools or methods used, and how you iterated based on data.
Share the final results compared to the baseline, the impact on the business, and any lessons learned about measurement.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Pretty standard but they want specifics, not a framework speech.
Use a specific project example where you had to balance competing priorities like speed vs. quality, scope vs. resources, or user needs vs. technical debt. Clearly state the trade-off, explain how you evaluated options with data and stakeholder input, and describe the decision and its outcome. Highlight the engineering principles and business impact that guided your choice.
Pro tip: Quantify the trade-off and outcome (e.g., 'reduced latency by 30% at the cost of 2 weeks delay') to show you think in terms of measurable impact, which Uber values. Also, mention how you communicated the trade-off to non-technical stakeholders to demonstrate cross-functional collaboration.
Briefly describe the project, your role, and the competing priorities or constraints (e.g., deadline vs. scalability, feature scope vs. technical debt).
Detail how you analyzed the trade-offs: data, user impact, engineering effort, and stakeholder input. Mention any frameworks or metrics used.
State the choice you made and the rationale, including how you aligned with stakeholders and mitigated risks.
Share the results with quantifiable metrics (e.g., performance, cost, user satisfaction) and any lessons learned.
Summarize how this experience shaped your approach to future trade-offs, emphasizing a principle like 'prioritize user impact' or 'balance short-term wins with long-term health'.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
The version where you just 'raised concerns and eventually aligned' is not enough.
Choose a disagreement where you had a strong technical rationale but remained open to other perspectives. Use a structured story (e.g., STAR) to show how you listened, presented data, and collaborated to reach a resolution. Emphasize the positive outcome and what you learned about cross-functional alignment.
Pro tip: Show that you can disagree without being disagreeable—focus on the problem, not the person, and highlight how you ultimately aligned on shared goals. Mention that you documented the decision and rationale to keep everyone accountable and informed.
Briefly describe the project, your role, and the stakes involved to help the interviewer understand the situation.
Clearly state what you disagreed about and why, focusing on technical or user impact rather than personal differences.
Detail how you communicated your concerns, listened to the other side, and used data or user research to support your position.
Explain how you collaborated to find a solution, whether through compromise, experimentation, or escalation, and what the final decision was.
Share the results, what you learned, and how it improved your ability to work with cross-functional partners in the future.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
This is where people get tripped up by going too technical.
Choose a specific project where your contribution led to measurable improvements for the team, such as increased productivity, reduced incidents, or faster delivery. Use the STAR method to structure your answer, emphasizing your actions and the quantifiable impact, and highlight how you aligned cross-functional stakeholders to achieve the outcome.
Pro tip: Quantify your impact with metrics that matter to Uber, such as latency reduction, cost savings, or engineering velocity improvements, and explicitly connect your work to broader team or company goals.
Briefly describe the team, project, and challenge, including any cross-functional dependencies or stakeholder misalignments. Keep it concise to focus on your actions.
Clarify your specific responsibility and the goal you aimed to achieve. Explain why it was important for the team and stakeholders.
Detail the steps you took to address the challenge, such as facilitating alignment meetings, implementing technical solutions, or advocating for process changes. Highlight collaboration and communication.
Present measurable results that demonstrate your impact on the team, such as percentage improvements, time saved, or revenue influenced. Use metrics relevant to software engineering and Uber's business.
Summarize the long-term benefits for the team and how it aligned with company objectives. Mention any lessons learned or how you sustained the impact.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Comes up in the first few minutes and sets the tone for everything after.
Start with a high-level overview of your team's mission and scope, then describe the team structure and your specific role. Finally, detail the key metrics you own, explaining how they tie to business impact and how you use them to drive decisions.
Pro tip: Emphasize how your team's metrics connect to Uber's broader goals, and mention any trade-offs you've navigated between competing metrics to show strategic thinking.
Briefly state your team's purpose and the products or services it supports. Highlight the scale and impact of your team's work within Uber.
Describe how your team is organized: roles, sub-teams, and how you collaborate with other teams. Mention your specific role and responsibilities.
List the primary metrics your team is responsible for, such as latency, availability, conversion rates, or engagement. Explain why these metrics matter.
Give an example of how you've used these metrics to identify a problem, prioritize work, or measure success. Show the impact of your actions.
Connect your team's metrics to Uber's overall objectives, demonstrating how your work contributes to the company's success.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Short answer: if you're going for a senior or above role and you skip mentorship entirely, you're leaving a required signal on the table.
Use a specific example of mentoring a teammate, focusing on how you assessed their needs, set clear goals, and provided ongoing support. Then, describe how you applied a similar structured approach to set direction or a roadmap for a larger group, emphasizing alignment with business objectives and measurable outcomes.
Pro tip: Quantify the impact of your mentoring and roadmap where possible (e.g., 'reduced onboarding time by 30%' or 'increased team velocity by 20%') to demonstrate tangible results. Also, highlight how you tailored your approach to the individual's or team's unique strengths and gaps.
Briefly describe the situation: who you mentored, their role, and the team or project context. Explain why mentoring or setting direction was needed.
Explain how you assessed the individual's or team's skills, goals, and challenges. Describe how you aligned their development or roadmap with broader team or company objectives.
Outline the specific actions you took: setting goals, creating a roadmap with milestones, and defining success metrics. Mention any tools or frameworks you used.
Describe how you provided ongoing guidance, feedback, and resources. Highlight how you adapted your approach based on progress and obstacles.
Share the outcomes: how the mentee or team improved, and any lessons learned. Connect the results to broader impact on the team or company.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
This is the influence-without-authority question and it's basically mandatory at senior level.
Use the STAR method to describe a specific cross-team conflict, emphasizing how you built influence without authority by aligning on shared goals and data. Highlight the concrete steps you took to facilitate resolution and the measurable outcome that benefited both teams and the company.
Pro tip: Show that you understand the other team's constraints and priorities—this demonstrates empathy and strategic thinking, which are crucial at Uber where cross-functional collaboration is key. Quantify the impact of your resolution (e.g., reduced delays, improved metrics) to make your answer memorable.
Briefly describe the teams involved, the nature of the conflict, and why you had no direct authority. Clarify the stakes and why resolution was important for the project or company.
Explain how you identified the underlying issues—such as misaligned incentives, communication gaps, or resource constraints—by listening to both sides and gathering data.
Describe how you facilitated a shared understanding of goals, perhaps through a joint workshop or one-on-ones, and proposed a solution that addressed both teams' concerns.
Outline the actions you took to implement the solution, how you monitored progress, and how you adapted when obstacles arose.
Share the quantifiable results (e.g., time saved, improved collaboration metrics) and what you learned about influencing without authority.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.