Description

Key Responsibilities 
Define and drive the international on platform merchandising operations including content positioning prioritization and lifecycle management across markets. 
Establish consistent merchandising principles for international markets while enabling regional flexibility where audience needs or regulatory requirements differ Partner with Product and Engineering teams to inform platform capabilities tooling improvements and roadmap decisions that enable scalable merchandising execution. 
Ensure merchandising workflows are designed to support global scale while minimizing manual intervention through automation and data-driven decision making.
Partner closely with Programming teams to align on content intent timing and regional considerations. 
Collaborate with Applied Machine Learning AMLG teams to define rules constraints and success metrics that guide personalization and automation in international markets. 
Work with Marketing and Design partners to ensure no-platform experience aligns with campaign objectives and brand standards while retaining merchandising accountability. 
Partner with Legal Privacy and regional stakeholders to ensure international merchandising experiences meet regulatory and compliance requirements. 
Champion experimentation across international markets ensuring merchandising strategies are testable and supported by strong metadata creative and operational foundations. 
Oversee monitoring and reporting to evaluate merchandising performance and surface insights that drive continuous optimization across markets. 

Basic Qualifications 
5 years in product management content merchandising or content discovery for consumer facing digital products at scale. 
Proven track record owning complex cross functional initiatives in a global environment with accountability for measurable outcomes. 
Bachelors degree required technical or quantitative discipline preferred
Strong applied knowledge of data driven methodologies including behavioral analytics and segmentation to inform merchandising decisions and drive subscriber level outcomes Experience defining content architecture and curation strategy across platforms with working knowledge of how platform dependencies and metadata quality affect the consumer experience. 
Demonstrated ability to partner substantively with ML and engineering teams on personalization and recommendation systems including evaluating outputs and defining constraints that reflect merchandising intent. 
Excellent communication and stakeholder management skills with the ability to influence across product technical and creative teams. 

Preferred Qualifications 
Experience supporting international or regional discovery strategies for a global streaming or media platform.
Proficiency with analytics and data science tooling including Adobe Analytics Looker Tableau Python or SQL Working knowledge of how personalization and ranking systems are built with experience contributing to the signals and inputs that shape content recommendations.
Proven track record designing and interpreting experimentation programs including AB and multivariate testing to drive merchandising optimization Experience working across multiple time zones and cultural contexts

Key Skills

Education

Bachelor's degree