About this role
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 (https://www.google.com/about/careers/applications/benefits/).
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.
- 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.