Client Solutions Manager

The Client Solutions Manager of is a strategic and experienced solution-driver and business consultant who puts our customers at the core. This role will be responsible for the Ecommerce vertical. You will have opportunity to build and manage key relationships, gain expertise on digital platforms and products, develop skills as a trusted adviser in marketing and advertising strategies, and lead media planning and measurement for our diversified advertiser portfolio ranging from Fortune 500 corporate to unicorn start-up. This role is embedded in the sales team to build executional and functional partnerships, use data and analytics to devise comprehensive solutions for our clients, and drive revenue by negotiating and optimizing opportunities that deliver on our clients' business objectives.

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
Drive product innovation internally with cross-functional partners based upon market trends 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 and advance sales and yield goals for the book of business assigned to you
Demonstrate operational rigor and project management through the following
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

Qualifications

BA/BS degree in Engineering, Computer Science, Math, Statistics, Economics, Business, Marketing or related field
5+ years’ experience working directly with marketing, media and/or consulting firms and demonstrated leadership skills required
Fluency in English and Mandarin are required as this role will collaborate with external stakeholders whose usual business language is English and Mandarin
Experience identifying and resolving complex business or technical problems, including evaluating trade-offs and recommending data-informed solutions
Experience working effectively with cross functional partners and stakeholders across the organization (internally and externally)
Demonstrate capability to manage multiple projects while maintaining strict attention to detail
Demonstrate capability to communicate, collaborate and work effectively on a team
Demonstrate capability to build and deepen ongoing relationships with external clients
Advanced Excel skills and experience with data analysis Experience in digital advertising, including working with brand advertisers
Extensive experience as a Meta platforms user and familiarity with Meta's ad solutions
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with data visualization tools, analysis tools and sales pipeline management
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