Client Solutions Manager (CPG & Retail)

Meta is seeking a Client Solutions Manager to serve as a strategic partner to advertisers and agencies, driving measurable business outcomes through Meta's advertising platform. In this role, you will combine deep knowledge of digital advertising, data-driven marketing, and Meta's suite of ad products to develop consultative solutions that help clients achieve their performance and brand objectives. You will work at the intersection of sales strategy, analytics, and product expertise to grow revenue, deepen client relationships, and translate complex data into actionable advertising strategies across Meta's family of apps and services.

Client Solutions Manager (CPG & Retail) Responsibilities

• Partner with Client Partners to develop and execute integrated advertising strategies that leverage Meta's full suite of ad products to meet client business objectives
• Analyze campaign performance data, audience insights, and market trends to deliver optimization recommendations and drive advertiser return on investment
• Serve as a product consultant to clients and agencies, educating them on Meta's advertising solutions and driving adoption of relevant ad formats, targeting capabilities, and measurement tools
• Build and maintain strategic relationships with client and agency stakeholders across media, creative, and marketing technology functions
• Design and oversee measurement frameworks, including conversion tracking, brand lift studies, and attribution models, to demonstrate the effectiveness of Meta advertising solutions
• Manage budget pacing, campaign delivery, and account health across a portfolio of advertisers, providing real-time optimization guidance
• Identify upsell and cross-sell opportunities within the book of business by connecting client goals to emerging Meta ad products and platform capabilities
• Collaborate with cross-functional internal teams including product, marketing science, and operations to surface client feedback and influence product development priorities
• Lead complex, multi-stakeholder projects involving campaign setup, policy compliance, and account operations to ensure seamless advertiser experiences
• Develop and present data-driven business reviews and strategic recommendations to client leadership teams to strengthen partnerships and drive long-term revenue growth

Minimum Qualifications

• 6+ years of experience in digital advertising, media, marketing consulting, or a related client-facing role
• Experience developing and executing data-driven advertising strategies across performance and brand marketing objectives
• Experience analyzing campaign data and translating insights into actionable recommendations using tools such as Excel, SQL, or comparable analytics platforms
• Experience managing multiple client accounts or projects simultaneously, prioritizing competing deliverables based on impact and deadlines
• Experience communicating advertising strategies and performance results to both technical and non-technical stakeholders through written and verbal presentations

Preferred Qualifications

• 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)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with Meta's advertising platform, including campaign management, audience targeting, and measurement solutions such as Meta Pixel, Conversions API, or brand lift studies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience using marketing science methodologies such as incrementality testing or media mix modeling to evaluate advertising effectiveness
• Experience working with e-commerce, retail, or direct response advertisers to optimize full-funnel advertising strategies
• Familiarity with ad technology ecosystems including DSPs, DMPs, CRM integrations, and third-party measurement partners