Linda is Product Lead at FAIRE and has in the past interned at @snapinc, @Microsoft, BAIN and graduated from @harvard. She has tremendous amount of experience in Product Management and openly shares her insights through newsletters here [ Ссылка ] for people to get started with it.
You can reach out to her and follow more of her updates at: [ Ссылка ]
Time Stamps:
00:00 Introductions
01:28 Can you tell us a bit about what was your background prior to your first PM role and how did you make your transition for that role?
04:00 In one of your articles you wrote about turning down a PM role at @instagram - can you walk us through that decision process? Why did you choose not to take up the position?
09:35 What are the different levels of a product timeline that you have noticed on average?
14:10 Why do we see a sudden increase in interest for PM roles in the last few years?
19:15 A lot of resources point to having empathy as a skill is necessary for product management? What does it really mean to have empathy as a skill for PM and what it looks like in real life?
23:55 Can you share with us an instance where you had a task under your role as a PM and the initial definition was almost nothing but you were able to define the pointers to the product definition and coordinate actions?
29:20 What is the best way for students who are new graduates to build their profile for PM roles?
34:55 With technical interviews, we know the interviewer looks for problem-solving skills over technical knowledge. What traits do people look for PM candidates that might be implicit but asked in indirect questions?
39:20 Do you think there always exists a small factor of having a good intuition about a product based on experience or could there be a scenario where one could build really good metrics to predict the success of a product?
45:50 Best resources to get started [ Ссылка ]
Also check-out these talks on all available podcast platforms: [ Ссылка ]
About the Host:
Jay is a PhD student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
Jay Shah: [ Ссылка ]
You can reach out to [ Ссылка ] for any queries.
Stay tuned for upcoming webinars!
***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
