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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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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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