Client Solutions Manager, e-Commerce Marketplaces

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

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 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)