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.At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.Shorts’ mission is to give everyone a voice and show them the world through short-form video. We seek to provide people with a safe, entertaining, and informative feed of videos.In this position, you will be instrumental in refining the algorithms that deliver Shorts feeds for viewers that are satisfying and entertaining experiences.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Bruno, CA, USA.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).