Client Solution Manager, Retail & Ecomm in London

The Client Solutions Manager partners with our most strategic clients to make sure they are successful with Meta. This is an opportunity to build and manage key relationships, serve as a consultative product expert and a trusted adviser in marketing, leading strategy, media planning, creative, tech integration, and measurement for our top clients across various verticals mainly Fashion/Dept stores.. The Client Solutions Manager is a strategic solution-driver with a focus on developing ROI-positive marketing strategies, driving growth by constantly improving performance for advertisers and implementing measurement & attribution solutions. This role is responsible for optimizing complex opportunities and using data and analytics to build consultative and technical solutions for our customers, providing business insights, driving revenue, advertiser education, and satisfaction through a consultative, data-driven approach. Move qualification requirements to MINIMUM_QUALIFICATION or PREFERRED_QUALIFICATIONS. You should have passion for Facebook, Instagram, Meta’s advertising solutions and the overall marketing/tech ecosystem.

Direct accountability for a quota-carrying book of business across a portfolio of large enterprise clients; delivering against significant revenue targets spanning both core advertising solutions and enterprise sales

Identify, create, and implement marketing solutions grounded on achieving measurable business results for our clients

Develop vertical expertise, including industry research and perspective, to drive overall business objectives and marketing solutions for advertisers

Work with businesses to understand their objectives and develop the Meta strategy in partnership with the Client Partner and cross-functional teams, which will constitute building on insights, crafting marketing strategies, creative guidance and measurement recommendations

Serve as the escalation point for client-related issues, ensuring prompt and effective resolution

Project Management - Work and collaborate with a group of internal cross-functional teams, managing complex work streams to optimize marketing objectives for clients

Manage planning, execution, ongoing reporting and optimization of campaigns (Observe budget spend, manage internal analytics and dashboards, provide optimisation and real time recommendations)

Manage strategic marketing conversations with clients, agencies, and partners (media, creative, measurement partners, MarTech, etc.)

8+ years of experience in ad sales, marketing, media, and/or consulting

Track record of excelling in Client Solution Manager role and driving impact on solution adoption, revenue, and operational rigor

Demonstrated experience with digital media platforms, advertising metrics, and industry trends (Deep performance marketing experience is key, data and technology solutions, ad-tech, partnerships)

Highly technical and analytical, comfortable with large and complex datasets, and delivering actionable insights

Experience collaborating, communicating, and influencing internal and external stakeholders, including cross-functional teams including engineering, product, marketing science and creative teams

Experience clearly communicating the progress of strategic initiatives to internal and external stakeholders, including the capacity to synthesize feedback and adjust plans accordingly

Proven track record in storytelling through data visualization, developing insight-based hypotheses and driving learning plans to build compelling business cases and influence key decisions

Experience of Meta’s full suite of advertising solutions

Experience working with consumer retail businesses and fashion retail brands

Self-starter and capacity to work independently with high intensity and urgency

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience of working with global brands and clients across EMEA and the US

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)