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

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