Sports Media Lead, YouTube Product Strategy and Operations

Minimum qualifications:

• Bachelor's degree or equivalent practical experience
• 8 years of experience in management consulting, product management, strategy, or analytics in a technology company.
• Experience driving cross-functional programs or projects.
• Experience with SQL, spreadsheets, data visualization, and other data analytics tools.

Preferred qualifications:

• 10 years of experience in an analytical role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations.
• Experience in consumer internet, media, or online video industries.
• Excellent communication skills, with the ability to influence a range of audiences.
• Excellent analytical and quantitative skills.

10 years of experience in an analytical role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations.10 years of experience in an analytical role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations.

About the job

Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.

Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.

The Product Strategy and Operations team sits at the intersection of strategy and execution. Product Strategy and Operations YouTubers have a wide variety of responsibilities spanning strategy, analytics, problem solving, operations, communications, leadership, and influence. In this role, you will help grow YouTube Primetime Channels offering, and sports and media consumption. You will focus on defining and measuring product health, conducting analysis, and thinking through long-term direction.

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.

The US base salary range for this full-time position is $150,000-$218,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Help YouTube’s leaders and teams define near-term strategy and direction. This includes owning the subscriber forecast for Primetime Channels and the forecast for sports and media engagement on YouTube. 
• Define the core metrics of the product area, and become an expert in how/why those metrics move. Conduct detailed analyses that result in insights to improve performance.
• Partner with the data science team to prioritize and execute quantitative analyses and advanced modeling that deliver insights to grow both subs and engagement.
• Think through long-term direction.
• Automate core workflows for product health, leveraging AI tools.