🎥 This PM mock case interview features Daniel Kent, Sr. PM at Glassdoor, as the candidate answering a technical question about how to explain what machine learning is to a non-technical person. Kenton Kivestu, ex-Googler and RocketBlocks Founder, plays the interviewer.
Explaining technical concepts to non-technical people is a skill all PMs need to serve as a go-between betwixt stakeholders and engineers, and this is especially pertinent for PMs focusing on machine learning. This is a good, short watch that uses toddler and vase analogies to demystify machine learning. Keep an eye out for good interviewer notes throughout!
🎬 Video Sections:
00:00 Intro
0:35 Interview start
1:20 General ML definition
1:48 Toddler in sandbox analogy
2:30 Vase mold analogy
2:51 Answering interviewer’s questions
🚀 Interviewing soon? RocketBlocks has the best concepts, drills, and coaching to get you more offers:
rocketblocks.me
💡 Looking to become familiar with the PM role, the interview process, and how to start preparing? Our free product management guide covers it all:
rocketblocks.me
➡️ Check out our intro video to understand what PM is: youtu.be
➡️ Here’s what to expect in PM interviews: youtu.be
#technicalquestion #PMinterviews #machinelearning #GlassdoorPM #RocketBlocks
