Client Solutions Manager - France (STE, 6 months)

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.)

Minimum 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

Preferred qualifications

• 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)