YouTube Product Strategy and Operations Lead, YouTube Growth Platform

Responsibilities

• Define the core metrics of your product area, support goal setting, and regularly track product performance.
• Conduct deep-dive analyses to understand what’s driving key trends and inform actions the team should take.
• Partner with data science to execute analyses to identify headroom for growth, diagnose optimization opportunities (e.g., funnel drop-off), and shape Nitrate’s strategy & roadmap.
• Gather input from client teams and external best practices to further inform growth levers to pursue (e.g., onboarding improvements, use case/channel expansion, etc.).
• Support foundational processes that drive the platform (e.g., maintaining LTV inputs, establishing platform principles & guardrails, etc.) and Leverage AI tools to automate and enhance core workflows.
• - Define the core metrics of your product area, support goal setting, and regularly track product performance. - Conduct deep-dive analyses to understand what’s driving key trends and inform actions the team should take. - Partner with data science to execute analyses to identify headroom for growth, diagnose optimization opportunities (e.g., funnel drop-off), and shape Nitrate’s strategy & roadmap. - Gather input from client teams and external best practices to further inform growth levers to pursue (e.g., onboarding improvements, use case/channel expansion, etc.). - Support foundational processes that drive the platform (e.g., maintaining LTV inputs, establishing platform principles & guardrails, etc.) and Leverage AI tools to automate and enhance core workflows.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree or equivalent practical experience - 4 years of experience in an analytical role, such as management consulting, investment banking, strategy & operations, business analytics, or other equivalent roles - Experience driving cross-functional programs or projects - Experience with SQL, spreadsheets, data visualization, and other data analytics tools Preferred qualifications: - 6 years of experience in an analytically-intensive role, such as management consulting, investment banking, strategy & operations, business analytics, or other equivalent roles - Experience in consumer internet, media, or online video industries (especially with subscriptions-based platforms) - Experience with ML growth platforms, digital marketing, A/B testing and experimentation methodologies - Experience working cross-functionally with Product, Engineering, Data Science, and Marketing teams