Product Manager II, YouTube Data, AI Insights

Google•San Bruno, CA

5d•$163,000 - $236,000

About The Position

As a Product Manager for AI Insights at YouTube, you will own the goals and implementation of key machine-intelligence initiatives that transform how the media landscape is understood. You will help move traditional dashboards toward next-generation natural-language interfaces and LLM-driven discovery. The work applies automated intelligence to use cases ranging from identifying emerging video trends to accelerating C-suite decisions, with the goal of improving how information supports digital entertainment.

Requirements

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.

Nice To Haves

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 improvements.
Experience with data analytics and visualization using common industry tools such as SQL, Python, BigQuery, or Looker.
Ability to communicate effectively with technical and business experts.

Responsibilities

Drive product strategy and execution for core analytics and longitudinal products, modernizing them with Generative AI and conversational query capabilities.
Analyze end-to-end data consumer journeys to identify friction points and deliver velocity and productivity improvements across data infrastructure.
Partner with cross-functional teams to accelerate deployment of Generative AI tools for executive decision-making and strategic insight generation.
Collaborate 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.