Product Manager II, YouTube Data, AI Insights

Minimum qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Data Science or equivalent practical experience.
• 5 years of experience in product management.
• Experience managing technical platforms or data products.

• Master's degree in a technology or business related field.
• 3 years of experience leading cross-functional efforts toward product and business goals.
• Experience in Generative AI product development, conversational query tools, or LLM-driven analytics.
• Experience analyzing end-to-end developer or data consumer journeys to deliver platform velocity wins.
• Experience with Data Visualization and GoogleSQL.
• Ability to communicate effectively with both technical and business experts.

You Tube connects billions of viewers with millions of creators. Powering this platform is a deeply metric-driven landscape where our team serves as the engine for innovation. We build intelligence systems that empower creators, optimize viewer experiences, and steer business choices at an immense scale.

As a Product Manager for AI Insights, you will own the vision and implementation for key machine intelligence initiatives that transform how we understand our entire media landscape. You will advise the shift from traditional dashboards to next-generation natural-language interfaces and LLM-driven discovery. By harnessing this automated intelligence—applied to everything from identifying emerging video trends to expediting C-suite leadership choices—you will act as the ultimate voice of the user and redefine how information fuels the future of digital entertainment.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Drive the product strategy and execution for core analytics and longitudinal products to modernize them toward Generative AI and conversational query capabilities.
• Analyze end-to-end data consumer journeys to identify friction points and deliver velocity and productivity enhancements across our data infrastructure.
• Partner with cross‑functional teams to accelerate the deployment of Generative AI tools for executive decision‑making and strategic insight generation.
• Collaborate on solutions with cross‑functional leaders to align product efforts with overarching business objectives.
• Establish evaluation frameworks for quality, benchmark performance against substitute tools, and generate actionable insights from user feedback.