OpenAI Product Manager Interview Questions

Snehangsu B. - "In a recent implementation of a large core banking project where we were breaking away from monolithic architecture to microservice based one we faced a situation where customer wanted to have a single repository of user and role management. Since Micro service based architecture talks about individual entities for multiple product suite it was mandatory to maintain individual user base. Based on the customer feedback, we had to come up with an unique design of single user base and replicating"See full answer

Anonymous Mockingbird - "I set the context by stating that this specific program is not complex for technical reasons, but for the nature of how it was set up. Spoke about a scenario where one of the programs was at risk due security and legal compliance's. And how did I carry that program forward."See full answer

Darpan D. - "Clarifying questions and Assumptions ChatGPT search means the search function inside the chat app? OR ChatGPT search Chrome extension? Assumption: Search inside the chat app. Is there any location restriction in this analysis? Assumption: USA only. Is there any user segment restriction in this analysis? Assumption: All user segments. Are we assuming the ChatGPT search already exists or going back in time before the ChatGPT search existed? Assumption: Go back in time"See full answer

Manoj K. - "I fumbled but my answer was along these lines Clarification: Are we talking about ChatGPT page or other ways to use it like API Ans: page When you say improve did you mean usage or monetization Ans: you pick We should pick user experience and usage since better product will enable easier monetization. Assume they monetize based on premium users subscription. Lets talk about users Business users Individual users Focus on business since traffic generated by individuals will not be as mu"See full answer

Surbhi G. - "Deep Learning is a part of Artificial Intelligence, it's like teaching the machine to think and make decisions on its own. It's like how we teach a child the concept of an apple - it's round, red, has a stem on top. We show them multiple pictures of apples and then they understand and can recognize an apple in future. Similarly, we feed lots of data to the machine, and slowly, it starts learning from that data, and can then make relevant predictions or decisions based on what it has learnt. A co"See full answer