At Quora, our engineers are the backbone of our products, working tirelessly to build innovative solutions that drive meaningful impact. Our engineering teams embody the core values of Quora, prioritizing collaboration, excellence, and a selfless learning attitude. From Foundation to Product Systems and Machine Learning teams, our engineers are dedicated team players who take initiative to handle issues, communicate openly and directly, and adapt quickly to changes.

Our Engineering Values

Our engineering teams foster a culture of excellence by embracing the following values:

  • We welcome feedback as an opportunity for growth and prioritize selfless learning.
  • We practice open and direct communication to build trust and foster transparency.
  • We are empathetic and recognize that our success is tied to the success of our team.
  • We are flexible and can adapt quickly to changes, recognizing the importance of agility and resilience.
  • We are driven by long-term impact but understand the trade-offs related to short-term execution.
  • We are aligned with Quora's mission and vision, working towards making a positive impact on the world.

Our Teams

At Quora, our Engineering Department is divided into three main sections: Foundation, Product Systems, and Machine Learning. Each team works together to deliver high-quality products that align with our overall mission and values. Our engineers design, build, and operate large-scale distributed systems that power product features for hundreds of millions of users.

Foundation Organization

The mission of the Foundation organization is to provide the best set of tools and infrastructure for enabling developers to build great products. Our engineers focus on improving developer productivity and own core engineering metrics such as reliability, performance, security, and cost efficiency.

Product Systems Organization

The mission of the Product Systems organization is to directly support our product goals, building and scaling user-facing features to improve user engagement, acquisition, and retention. Product Systems engineers may work on web, iOS, Android, application backend, or a combination, focusing on various product areas such as Poe, Quora, and monetization.

Machine Learning Organization

The mission of the Machine Learning organization is to support key company goals such as revenue growth, user engagement, cost reduction, and content quality. Machine learning engineers own end-to-end ML pipelines or AI-driven features that power both Quora and Poe in areas such as content recommendation, content understanding, monetization, and Poe AI.

Our Engineering Leadership Team

Our engineering leadership team consists of experienced professionals who have been with Quora for several years:

  • Vanessa Tan, Vice President of Engineering
  • Charlie Hu, Head of Poe Product Engineering Organization
  • Chris Luhrs, Head of Quora Product Engineering Organization
  • Hwan Seung Yeo, Head of Foundation Organization
  • Ryan Seu, Head of Security Organization
  • Kevin Xu, Head of Machine Learning Organization

Technical Interview Tips

While every journey and interview path is different, our team has identified a few key tips to help you prepare and feel confident going into your engineering interviews at Quora:

  • Research: Familiarize yourself with our company values and ongoing projects by exploring our careers page and Engineering at Quora Space.
  • Ask Questions: Don't hesitate to ask questions during your technical interviews - we encourage you to think out loud. Your interviewers are there to help and guide you throughout the process.

By following these tips, you'll be well-prepared for your engineering interviews at Quora, where innovative app startup ideas come to life!