Staff AI/ML Product Manager, YouTube Shorts Feed Quality

• Define ML quality programs that help teams of ML engineers make improvements to YouTube Shorts feed quality.
  
• Lead PRDs (Product Requirements Documents) by collaborating with partner teams (e.g., engineers, PgMs, UX) during product design and development to implement the requirements to turn PRDs into OKRs for multiple teams.
  
• Own and define project roadmaps. Drive development and secure buy-in for a product vision that identifies, defines, and supports the overall product narrative and direction, achieving an outcome that is greater than the sum of its parts.
  
• Manage validation of market size and opportunity (e.g., user-based, strategic opportunity, revenue). 
  
• Lead and harmonize processes to define, identify, collect, and track appropriate product or business metrics, both quantitative and qualitative for new or existing products or business ventures.
  

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  
• 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
  
• 3 years of experience in software development or engineering.
  

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience developing or launching products or technologies within Artificial Intelligence or Machine Learning (AI/ML).