Product Manager II, YouTube Live Discovery

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA.### Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

• Master's degree in a technology or business related field.
• Experience with recommendation systems, search quality, or real-time content discovery.
• Experience with experimentation, metrics design, and landing Machine Learning launches with engineering teams.
• Experience using Generative AI or Large Language Models for content understanding and quality evaluations.
• Experience working cross-functionally with engineering, research, and other stakeholders to launch technical products.

About the job

-----------------

YouTube is a place where everyone has a voice. To support our vibrant global community, we need product leaders who can build at an unprecedented scale. YouTube Live connects people through shared live experiences and shows them what is authentically happening in the world.

As the industry leader in live watch time and viewership, we connect hundreds of millions of daily viewers to real-time moments.

As a Product Manager for YouTube Live Discovery, you will build the recommendation systems that connect billions of viewers with what is happening right now across Home, Shorts, Watch Next, and Search. You will partner with dedicated Machine Learning teams to manage complex technical challenges, including real-time retrieval and ranking for an ephemeral corpus, overcoming cold starts, and driving quality-first growth.

By leading experimentation and shaping discovery strategy, you will have a direct impact on the future of real-time content distribution.

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.Responsibilities

--------------------

• Define the product strategy, roadmap, and success metrics for YouTube Live Discovery across multiple surfaces.
• Partner with Machine Learning teams to set objectives, requirements, and launch criteria for retrieval, ranking, and real-time signals.
• Solve cold start problems to onboard new viewers and match streams to audiences while balancing exploration and exploitation.
• Lead quality-first growth by turning content understanding into Machine Learning using large language models and negative-feedback signals.
• Own measurement by defining next-gen satisfaction metrics, designing experiments, and making strategic launch decisions on tradeoffs involving ecosystem health, compute cost, and shared distribution.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.