YouTube Product Strategy and Operations Lead, YouTube TV
Google•Published 4 hours ago•First seen 3 hours ago
Product Strategy and Operations (PS&O) sits at the intersection of strategy and execution, contributing to some of the highest profile work at YouTube. PS&O YouTubers have a wide variety of responsibilities spanning Strategy, Analytics, and Problem-Solving; Operations; Communications; Leadership and Influence.
Our long-term goal is for YouTube to be the home of culture, with Sports, Movies, and Shows at the very heart of that experience. As the PS&O Lead, you will help to understand existing trends and define our goals for what’s next. You will help grow our YouTube TV subscriber base.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: $126000 - $180000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Our long-term goal is for YouTube to be the home of culture, with Sports, Movies, and Shows at the very heart of that experience. As the PS&O Lead, you will help to understand existing trends and define our goals for what’s next. You will help grow our YouTube TV subscriber base.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: $126000 - $180000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Own the development of driver-based subscriber and engagement models. You will be responsible for translating complex business inputs into forecasts that define our Annual/Quarterly goals (OKRs) and our 5 year business outlook.
- Define the core metrics of our product area, and become an expert in how/why those metrics move. Conduct detailed analyses that result in actionable insights to improve performance.
- Partner with our Data Science team to prioritize and execute sophisticated quantitative analyses and advanced modeling that delivers actionable insights to grow both subs and engagement.
- Automate core workflows for product health reporting, leveraging AI tools to reduce manual overhead and provide more self-serve options for executives.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience with an analytically-intensive role (e.g., management consulting, investment banking, business intelligence, data science, or corporate strategy and operations).
Preferred qualifications:
- 6 years of experience in an analytically-intensive role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations.
- Experience in consumer internet, media, sports, or online video industries (especially with subscription products).
- Experience driving cross-functional programs or projects with exceptional communication skills and ability to influence range of audiences
- Strong problem-solving and quantitative skills, including experience with SQL, spreadsheets, data visualization, sophisticated forecast models, and other data analytics tools.