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- Machine Learning Engineered
- Publisher |
- Charlie You
- Media Type |
- audio
- Podknife tags |
- Artificial Intelligence,
- Business,
- Careers,
- Data Science,
- Interview,
- Machine Learning,
- Technology
- Publication Date |
- Sep 01, 2020
- Episode Duration |
- 01:28:13
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/943aa3fd46
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Subscribe to ML Engineered: https://www.mlengineered.com/listen
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Timestamps:
(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 questions
Links:
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/943aa3fd46
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Subscribe to ML Engineered: https://www.mlengineered.com/listen
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Timestamps:
(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 questions
Links:
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