At Quora, our app user experience is built on the foundation of innovative engineering. Our talented team of engineers work tirelessly to develop products that drive meaningful impact and solve complex problems. With a strong focus on collaboration, selfless learning, and long-term impact, our engineers embody the core values of Quora.

Engineering Values

Our engineering teams thrive in a culture of excellence and collaboration by prioritizing the following values:

We embrace a growth mindset, welcoming feedback as an opportunity for improvement.

We practice open communication to foster transparency and build trust.

We are empathetic team players, recognizing that our success is tied to the success of our team.

We adapt quickly to changes, recognizing the importance of agility and resilience in a fast-paced environment.

We prioritize long-term impact while understanding 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.

The Foundation organization focuses on providing the best tools and infrastructure for enabling developers to build great products. Our engineers design, build, and operate large-scale distributed systems that power product and ML features for hundreds of millions of users.

The Product Systems organization directly supports our product goals, building and scaling user-facing features to improve user engagement, acquisition, and retention. Product Systems engineers work on web, iOS, Android, application backend, or a combination, focusing on various product areas such as fast and intuitive features, core product surfaces, tools leveraging AI technology, monetization features, and moderation systems.

The Machine Learning organization supports key company goals such as revenue growth, user engagement, cost reduction, content quality, and delivering great app user experience. 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/NLP, monetization, and Poe AI.

Our Engineering Leadership Team

Our engineering leadership team is comprised of experienced professionals who embody the values and mission of Quora:

  • 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. Come with any questions - we want to make sure all of your questions are answered at every step.

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 to ensure you stay on track throughout every interview.

Practice with Poe: Many technical interviews include coding challenges, so practice with Poe to get comfortable with the format and pace of our interviews.