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Scale AI Product Manager Interview Questions

Review this list of Scale AI Product Manager interview questions and answers verified by hiring managers and candidates.
  • Scale AI logoAsked at Scale AI 
    110 answers
    Video answer for 'Tell me about a time you made a mistake.'
    +99

    "Let me tell you about a time where a website I managed suddenly showed slow performance and the mistake on our side was it was unnoticed until a user reported the issue to management. As a PM for that project, I took full responsibility of the situation and worked with the engineering team to quickly resolve it. This mistake taught me the importance of focusing and monitoring non functional requirements as well in addition to new feature development /adoption where I was mostly spending my time"

    Sreenisha S. - "Let me tell you about a time where a website I managed suddenly showed slow performance and the mistake on our side was it was unnoticed until a user reported the issue to management. As a PM for that project, I took full responsibility of the situation and worked with the engineering team to quickly resolve it. This mistake taught me the importance of focusing and monitoring non functional requirements as well in addition to new feature development /adoption where I was mostly spending my time"See full answer

    Product Manager
    Behavioral
    +10 more
  • Scale AI logoAsked at Scale AI 
    2 answers

    "Clarification and Assumption In house labeling vs outsourced? labeling text, images, bounding boxes, segmentations etc? what kind of issues have we observed? Assuming that data collection and pre/post-processing is done by different team and labeling starts with receiving data and ends with sending files back to my team. "outsourced, images containing objects, 2 dozen classes of objects to label bounding boxes." 2.Goal Quality is important because downstream effect. garbage in garbage out."

    Rui B. - "Clarification and Assumption In house labeling vs outsourced? labeling text, images, bounding boxes, segmentations etc? what kind of issues have we observed? Assuming that data collection and pre/post-processing is done by different team and labeling starts with receiving data and ends with sending files back to my team. "outsourced, images containing objects, 2 dozen classes of objects to label bounding boxes." 2.Goal Quality is important because downstream effect. garbage in garbage out."See full answer

    Product Manager
    System Design
  • Scale AI logoAsked at Scale AI 
    Add answer
    Product Manager
    Behavioral
    +4 more
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