Prepare for and practice interview questions from Aurora innovation.

Aurora innovation Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

<h3>Job Description</h3><div>Job Description<div>Software Engineer (backend)New York, USASalary: $300,000 OTE ($250,000 Base + $50k Uncapped Performance-Based Bonus)Stock: 0.6-0.9% at our ground-floor valuation with >100x upside potential.USA Work Authorization RequiredIntra-USA Relocation Package AvailableAbout AuroraAurora is the operating system for high performance living.Our mobile app empowers the world's top founders, athletes and family offices to master their relationships, exploration and longevity across 5 lifestyle categories: travel, dining, experiences, luxury goods, and longevity.To date, we have:<ul><li>⁠⁠raised $4m in funding from Tier 1 investors and entrepreneurs, including the founder of Velocity Black, early investors in Supercell & Deliveroo, the founder of Cleo, the President of VistaJet, and top NBA and Premier League athletes</li><li>⁠⁠⁠achieved industry-leading engagement with our paying customers, with an extensive waiting list wanting access to the product</li><li>⁠⁠⁠built a proactive, seamless product described as ‘magic’ by our members</li></ul>We are now expanding our team as we grow our membership base globally.The Founding Software EngineerOur founding team of 15 is searching for an exceptional Backend Engineer to join as one of Aurora’s founding technical hires.You’ll work directly with our Co-Founders and product leadership to define and build Aurora’s backend infrastructure and foundations for our agentic functions - intelligent systems that anticipate, curate, and execute on the needs of the world’s highest-performing individuals.This is a chance to build the infrastructure for a revolutionary AI-enabled product powering the world's highest impact individuals, working with one of the world’s richest proprietary behavioral datasets.This role reports directly to Aurora’s Co-Founder & CTO, with the opportunity to rapidly grow into a leadership position across Engineering and Product.Our PrinciplesWe’re a team of tier-1 backed and exited operators united by our five core principles:<ol><li>We seek truth</li><li>We are high-leverage</li><li>We are courageous</li><li>We care deeply</li><li>We believe impossible is an attitude</li></ol>Why Aurora:<ol><li>High Leverage: Place a daily-use product in the hands of the world’s most ambitious and high-achieving individuals and organizations, empowering them to maximize their global impact</li><li>Cutting Edge AI: Gain hands-on experience working with a revolutionary AI system, redefining lifestyle management at the highest level</li><li>Generationally Defining: Play an essential role in building the Apple of lifestyle operating systems - a >$100bn opportunity at the intersection of technology, luxury, and longevity</li></ol>About the FoundersAurora was founded in 2024 by:<ul><li>Jonah Lowenstein, previously backed by the investors & operators behind Facebook, Spotify and Venmo</li><li>Aurelius Zwick, UK Young Entrepreneur of the Year</li><li>Dmitry Ogurtsov, former Director of Engineering at Workbounce (conversational AI tool acquired by ZoomInfo)</li></ul>Aurora’s first investor and Chairman is Alex Macdonald, founder of digital concierge Velocity Black (acquired by Capital One for $300M).We’ve raised >$4M from tier-1 investors in this space, including Boost Capital Partners, Koro Capital, Insiders VC, EQT Angel Fund, the Founder of Cleo, the Founder of Wander, the Co-Founder of Vise, the Founder of Velocity Black, tier-1 athletes from the NBA and Premier League, and the President of VistaJet US.RequirementsKey Responsibilities:<ul><li>Take full ownership of features from concept to production rollout.</li><li>Design and build backend services and APIs in Python/Django with high reliability and clarity. </li><li>Maintain and evolve our agent orchestration, LLM integrations, and RAG/data pipelines. </li><li>Architect and improve cloud-native systems on GCP (Cloud Run, GKE, Cloud SQL, Redis, GCS). </li><li>Develop and maintain IaC with Terraform to ensure consistent, stable deployments. </li><li>Optimize performance across SQL queries, Celery workloads, and backend endpoints. </li><li>Lead debugging, incident resolution, and root-cause analysis for production issues. </li><li>Implement secure coding practices and support compliance efforts (SOC2, PCI DSS, ISO 27001). </li><li>Collaborate cross-functionally with product, curators, and frontend/mobile engineers. </li><li>Review code, mentor teammates, and drive architectural improvements. </li></ul>Who You Are:<ul><li>Deeply product-minded: you care deeply about the customer and think from first principles about how to make their experience seamless and delightful.</li><li>Technically skilled: strong Python experience and a proven ability to build reliable, production-grade features.</li><li>Curious and self-driven: someone who obsessively experiments on weekends, brings new ideas to the table, and gets energy from building real, user-facing systems.</li><li>Hungry and ambitious: you thrive in early-stage, high-ownership environments where speed, creativity, and adaptability matter more than titles or bureaucracy.</li><li>Strong collaborator who communicates clearly and thrives working alongside product managers, designers, and operators.</li></ul>Technical Requirements:Mandatory<ul><ul><li>7+ years of experience building and operating production systems.</li><li>Expert-level Django engineer: deep familiarity with DRF, best practices, and common pitfalls.</li><li>Strong command of Python, including data structures, algorithms, system design, and architecture patterns.</li><li>Solid experience with distributed job queues, ideally Celery, and designing resilient background processing.</li><li>Strong understanding of Infrastructure as Code, preferably Terraform, and modern cloud-native tooling.</li><li>Hands-on experience with Google Cloud Platform, particularly: GCR, GKE, Cloud SQL, GCS, and Cloud Logging.</li><li>Strong SQL skills, including query performance optimization and schema design.</li><li>Familiarity with security and compliance frameworks such as PCI DSS, SOC2, ISO 27001, and OWASP recommendations.</li><li>A proactive, product-driven mindset, someone who brings energy, ownership, and a get-things-done attitude.</li></ul></ul>Bonus Points<ul><ul><li>Experience with machine learning (scikit-learn, PyTorch, TensorFlow).</li><li>Experience working with LLMs (Vertex AI, OpenAI) and modern AI toolchains.</li><li>Exposure to agentic systems, RAG pipelines, and intelligent automation.</li><li>Basic understanding of Flutter or Vue.js. Not required for the role, but helpful for cross-team collaboration.</li></ul></ul>Benefits<ol><li>Competitive salary + uncapped performance-based bonus.</li><li>Founding stock options package on the ground floor of a $10bn+ opportunity.</li><li>Lifestyle perks and access to exclusive Aurora events and services.</li><li>Whoop or Oura Ring on us.</li><li>$2,000 annual education budget.</li><li>Whatever tech you need to do your best work.</li><li>Generous parental leave.</li><li>Comprehensive health benefits, with 90% coverage including dental and vision.</li></ol></div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

Aurora innovation Interview Questions

Aurora innovation Interview Guides

Aurora innovation Interview Questions

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