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Product Manager Interviews

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Product Manager Interview Questions

Often considered the "CEO" of their product area, product managers oversee the strategy, production, and implementation of a particular product. Because product management teams include members from different backgrounds such as engineering, design, and data design, product managers must have strong communication skills and excel in cross-functional work environments. Expect to answer questions about your management abilities, prioritization skills, and experience working in product. Though not required, technical backgrounds are advantageous particularly when applying for roles at tech companies.

Top Product Manager Interview Questions & How to Answer

Question 1

Question #1: What are your preferred management frameworks?

How to answer
How to answer: Describe which management frameworks you prefer to use when managing teams and products and explain why you like them. Outline any limitations of the frameworks and how you overcome them. If possible, research what frameworks the company currently uses and discuss how your own methodology can work within those frameworks.
Question 2

Question #2: How do you prioritize between the different needs of your users?

How to answer
How to answer: Product managers need to make tough decisions that balance the needs of different users while keeping in mind the resources of the team and the general cost-benefit analysis for the company. Explain the process you use to make those decisions, including what research you do. Outline how you communicate your decisions to internal and external stakeholders, how you manage expectations, and how you deal with any negative reactions.
Question 3

Question #3: What is your strategy for onboarding yourself to a new product?

How to answer
How to answer: A product manager is expected to know everything about a product, such as how clients use it, the business model, and the roadmap for further development. Outline who you plan to talk with to learn about the product and its users, how those conversations will happen, and what you hope to learn. This is a good opportunity to show your enthusiasm for the future of the product and its possibilities and any research you have already done.

52,950 product manager interview questions shared by candidates

You are a Product Manager who works with a data engineering team and a machine learning team at Eventbrite. An increasing number of internal customers at the company want to use more data in their parts of the Eventbrite platform. Those customers need guidance and support to be able to deliver great data-driven product experiences to creators and attendees with an efficient software development cycle. Please describe three example products for these customers to help them see how data can improve the end-user experience. These may come from any sector: risk, consumer recommendations, internal tools, etc. and keep in mind that there are three interesting implementation strategies to explore: batch (e.g. overnight), streaming/micro-batch (e.g. real-time or near-real-time), and event-driven (e.g. publish/subscribe). For one of those example products, please describe: How would you work with your engineering teams to bring it to reality? What products, services, or processes will you recommend? What infrastructure could they use to power these use cases? What limitations would be implied?
avatar

Senior Product Manager

Interviewed at Eventbrite

3.5★
Feb 17, 2020

You are a Product Manager who works with a data engineering team and a machine learning team at Eventbrite. An increasing number of internal customers at the company want to use more data in their parts of the Eventbrite platform. Those customers need guidance and support to be able to deliver great data-driven product experiences to creators and attendees with an efficient software development cycle. Please describe three example products for these customers to help them see how data can improve the end-user experience. These may come from any sector: risk, consumer recommendations, internal tools, etc. and keep in mind that there are three interesting implementation strategies to explore: batch (e.g. overnight), streaming/micro-batch (e.g. real-time or near-real-time), and event-driven (e.g. publish/subscribe). For one of those example products, please describe: How would you work with your engineering teams to bring it to reality? What products, services, or processes will you recommend? What infrastructure could they use to power these use cases? What limitations would be implied?

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