Listen "Jordan Dunne: What Engineers Should Know about Product and Program Management"
Episode Synopsis
Jordan Dunne works as a Technical Program Manager at Google Payments. He previously worked as a Program Manager at Microsoft, Lead Forward-Deployed Engineer at Enlitic, and Product Manager at Vim. Learn more about Jordan: https://www.linkedin.com/in/jordanwdunne/Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/Subscribe to ML Engineered: https://www.mlengineered.com/listenFollow Charlie on Twitter: https://twitter.com/CharlieYouAITimestamps:(02:00) How were you exposed to CS and why did you pursue it?(03:25) Is software engineering actually engineering?(06:40) How do you define product management?(11:05) When did you realize you wanted to be a PM instead of a developer?(16:40) Project vs Program vs Product Management(18:35) Effective PM as leverage on a dev team(24:05) What can engineers do to make PM's lives easier?(26:10) Companies moving towards technical PMs?(30:20) Handling the added uncertainty from Data/ML products(42:00) ML models held to a higher standard than their human equivalents(45:15) Why are Xoogle PMs so successful?(52:10) Google's and Boeing's cultures influenced by their business models(56:00) "Needless complexity" in PM(59:00) Getting better at estimation(01:04:00) Knowing ML evaluation metrics as a PM(01:06:30) Getting better at communication(01:14:20) Prioritizing what to learn(01:16:50) Keeping the big picture in mind(01:20:00) Rapid fire questionsLinks:Thanks for the FeedbackBetter Angels of Our NatureCrucial ConversationsThe Great Escape
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