Overview In this role you will shape Storefront experiences by translating forecasts into actionable merchandising strategies across console, web and mobile. You'll work closely with Planning & Finance to turn revenue targets into priorities while leveraging AI-driven insights to optimize campaigns and content. You'll design data-driven experiments and continuously adapt based on performance and player behavior. This position offers the chance to influence global merchandising and contribute to Sony's gaming ecosystem with a strong, cross-functional team.
Compensation / Benefits- medical
- dental
- vision
- matching 401(k)
- paid time off
- employee discounts
Responsibilities- Translate commercial forecasts into merchandising strategies across Storefronts (console, web, mobile) in collaboration with Planning & Finance
- Monitor performance, customer behavior, and AI signals to adjust campaigns, placements, and content
- Leverage AI-driven insights to identify opportunities and optimize Store experiences dynamically
- Design and run data-driven experiments to validate hypotheses and improve customer experience
- Review performance data on daily/weekly/monthly cadences to drive actionable optimization
- Develop and adhere to best practices with broader Store teams to improve efficiency and outcomes
Key requirements- 5+ years in a global direct-to-consumer digital or e-commerce business with knowledge of games monetization and live services
- Experience using data, analytics and AI-driven insights to inform commercial decisions
- Ability to partner with Planning & Finance to translate forecasts into merchandising strategies and adjust based on AI recommendations
- Customer-first mindset focused on personalization and experience
- Strong analytical thinking to blend financial objectives, customer insights and AI outputs into actions
- Proven cross-functional collaboration across global teams
- Bachelor's degree in related field or equivalent preferred
- collaboration across global teams
- attention to detail
- time management
- data analytics
- AI-driven insights
- experimentation and A/B testing
