The Client Solutions Manager is a strategic and enthusiastic solution-driver who puts our customers at the core of everything we do. They have an experience with and an in-depth understanding of advertising and believe the future of marketing is identity-based, data-driven and grounded in measurable business results. With proven understanding of both online and traditional media, this role is responsible for partnering with the sales team to develop industry-specific relationships, drive revenue by negotiating and optimizing complex opportunities, and use data and analytics to build a consultative solution for our customers. The Client Solutions Manager will establish and strengthen key client relationships with a focus on driving revenue, advertiser education & advertiser satisfaction. Success in this position requires practical experience in sales, analytical skills, a focus on client service, and the capacity to prioritize competing workstreams based on impact, deadlines, and stakeholder needs.
Responsibilities
- In partnership with Client Partner, analyze client situations and devise integrated marketing and advertising strategies optimally incorporating Meta solutions to maximize client value
- Use data, insights and market intelligence to identify opportunities and guide strategy and implementation of Meta solutions
- Serve as external product consultant educating clients and agencies on product solutions and driving product adoption
- Drives product innovation internally with cross functional partners based upon market trend and emerging needs of clients
- Plan media and creative structure and oversee the implementation of campaigns to deliver against client business objectives
- Outline and oversee measurement scheme, tracking, and results delivery to study the effectiveness of Meta solutions
- Oversee budget spend, manage analytics and dashboards, and provide optimization and real-time recommendations
- Collaborate with Client Partner to meet or surpass sales and yield goals for the book of business that is assigned to you
- Operation Rigor and Project Management
- Manage complex external and internal work streams, and optimize clients’ advertising operation mode to meet business objectives
- Oversee internal account operations (e.g. troubleshooting and fixing issues, monitoring and alerting ads policy violations, setting up account and financial details, and so on)
- Build and manage relationships with both C-suite and front-line stakeholders in clients and agencies across media, creative, tech enabler industries, etc
- Collaborate very closely with a wide-ranging group of internal cross functional teams and cross region counterparts
Minimum qualifications
- BA/BS degree in Engineering, Computer Science, Math, Statistics, Economics, Business, Marketing or related field
- 6+ years’ experience working directly with marketing, media and/or consulting firms and demonstrated leadership skills required
- Experience identifying and solving complex business or technical problems through structured analysis and cross-functional collaboration
- Experience working effectively with cross functional partners and all levels of management (internally and externally)
- Demonstrated capability to manage multiple projects while maintaining strict attention to detail
- Demonstrated capability to communicate, collaborate and work effectively on a team
- Demonstrated capability to build and deepen ongoing relationships with external clients to drive business outcomes
- Advanced Excel skills and experience with data analysis
Preferred qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience with advanced AI tooling and automation technologies
- Demonstrated ability to work with and influence Product and Tech teams to drive solutions
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Job description provided by Meta.
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