Growth Platform: Product Strategy & Ops Lead

Google

New York (NY)

On-site

USD 126,000 - 180,000

Full time

14 days+
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Job summary

Google’s YouTube Growth Platform team is seeking a YouTube Product Strategy and Operations Lead in the YouTube Growth Platform. The role focuses on scaling impact through defining product health, conducting deep analyses, and shaping long-term strategy, partnering with Product, Engineering, Data Science, and Marketing.

Embedded within Nitrate, you’ll drive growth through ML-driven messaging and product discovery while collaborating with stakeholders across functions.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 4 years of experience in an analytical role (e.g., management consulting, investment banking, strategy & operations, business analytics).
  • Experience driving cross-functional programs or projects.
  • Experience with SQL, spreadsheets, data visualization, and other data analytics tools.

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.
  • Partner with data science to identify headroom for growth and shape roadmap.
  • Gather input from client teams and external best practices to inform growth levers.
  • Support foundational processes that drive the platform and leverage AI tools to enhance workflows.

Skills

Analytical experience
Cross-functional mgmt
SQL & data viz
Spreadsheets
Data analysis tools

Education

Bachelor's degree or equivalent

Tools

SQL
Spreadsheets
Data visualization tools

Job description

Google’s YouTube Growth Platform team is seeking a YouTube Product Strategy and Operations Lead in the YouTube Growth Platform. The role focuses on scaling impact through defining product health, conducting deep analyses, and shaping long-term strategy, partnering with Product, Engineering, Data Science, and Marketing.

Embedded within Nitrate, you’ll drive growth through ML-driven messaging and product discovery while collaborating with stakeholders across functions.

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