AI-Driven Games Merchandising Manager

RiseMe

San Mateo (CA)

Hybrid

USD 118,000 - 177,000

Full time

5 days ago
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Job summary

Sony Interactive Entertainment in San Mateo, CA, is seeking a Games Merchandising Manager to lead data-driven storefront merchandising for console, web and mobile experiences. You will translate forecasts into merchandising strategies, utilize AI-powered insights, and optimize campaigns to maximize engagement and revenue.

The role collaborates with Planning & Finance, Product and Data Science, using experimentation and analytics to continuously improve store performance.

Qualifications

  • 5+ years in a global direct-to-consumer digital or e-commerce business.
  • Experience using data, analytics and AI-driven insights to inform decisions.
  • Customer first mindset, personalization focus.
  • Bachelor's degree or equivalent preferred.

Responsibilities

  • Partner with Planning & Finance to translate forecasts into merchandising strategies across Store experiences.
  • Monitor performance and AI signals to adjust campaigns and content to maximize engagement.
  • Leverage AI insights to identify opportunities and optimize store experiences.
  • Design and run data-driven experiments to validate hypotheses and improve outcomes.
  • Review performance data daily/weekly/monthly and turn insights into actions.
  • Develop and follow best practices with Store teams for continuous improvement.

Skills

Data analytics
AI insights
Cross-functional collaboration
Customer-centric
Strategic merchandising
Attention to detail
Experimentation

Education

Bachelor's degree or equivalent

Tools

AI-driven optimization
Analytics tools

Job description

Sony Interactive Entertainment in San Mateo, CA, is seeking a Games Merchandising Manager to lead data-driven storefront merchandising for console, web and mobile experiences. You will translate forecasts into merchandising strategies, utilize AI-powered insights, and optimize campaigns to maximize engagement and revenue.

The role collaborates with Planning & Finance, Product and Data Science, using experimentation and analytics to continuously improve store performance.

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