About this role
The Client Solutions Manager for Meta's France Retail team is a strategic and analytical solution-driver who puts our customers at the core of everything we do and supports their growth.
Responsibilities
In partnership with the Client Partner, identify, create, and implement marketing solutions grounded on achieving measurable business results for our partners
Serve as external product consultant educating clients on product solutions and best practices, and ultimately grow existing business partnership
Analyze data and insights to guide strategy and implementation of Meta solutions
Build and manage relationships with key stakeholders
Work and collaborate with broad groups of internal cross-functional teams
Guide media and creative strategy, planning, and implementation of campaigns to deliver against Key Performance Indicators
Outline and manage measurement strategy, tracking, and results delivery
Identify optimization opportunities for improving performance
Manage internal account operations (e.g. troubleshooting issues, account set up, etc.)
Qualifications
Demonstrated knowledge of digital media platforms, advertising success metrics, and industry trends (Direct Response marketing, data and technology solutions, ad-tech, partnerships, CRM)
Effective problem solving and decision making skills, and the love to learn in an ambiguous environment
Experience working effectively with cross-functional teams and all levels of management
Demonstrated experience to manage complex work streams while maintaining attention to detail
Communication skills, collaboration and working effectively in a team
Advanced analytical skills, experience with analyzing datasets and delivering actionable insights, to be effectively presented to external clients
At least 5 years of relevant job experience
Business-level French and English required to support French-speaking clients and collaborate with internal teams Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)