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
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/
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