Product Management for Machine Learning - Geo Jolly
We talked about Geo’s background Technical Product Manager Building ML platform Working on internal projects Prioritizing the backlog Defining the problems Observability metrics Avoiding jumping into “solution mode” Breaking down the problem Important skills for product managers The importance of a technical background Data Lead vs Staff Data Scientist vs Data PM Approvals and rollout Engineering/platform teams Data scientists’ role in the engineering team Scrum and Agile in data science Transitioning from Data Scientist to Technical PM Books to read for the transition Transitioning for non-technical people Doing user research Quality assurance in ML Advice for supporting an ML team as a Scrum master Links: Geo's LinkedIn: https://www.linkedin.com/in/geojolly/ Product School community: https://productschool.com/ http://theleanstartup.com/ Netflix CPO Medium blog: https://gibsonbiddle.medium.com/ Glovo is hiring: https://jobs.glovoapp.com/en/?d=4040726002 Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html