Client Partner, Retail

Meta Meta · Big Tech · New York, NY

Client Partner for Meta's Global Business Group focused on top advertisers in the Retail industry. This role involves strategic account planning, driving revenue growth, building executive client relationships, and leveraging AI tools to optimize workflows and drive measurable business outcomes. Requires strong performance marketing, digital marketing, and client-facing strategy experience, with a demonstrated ability to integrate AI and adhere to ethical AI practices.

What you'd actually do

  1. Strategic account planning to drive significant investment growth
  2. Cultivate executive relationships externally as well as horizontal relationships beyond core marketing teams both internally and externally
  3. Identify and lead new business growth opportunities
  4. Manage complex workstreams end to end, and remain flexible on a dynamic account
  5. Serve as the escalation point for client-related issues, ensuring prompt and effective resolution

Skills

Required

  • performance marketing
  • digital marketing
  • client-facing strategy
  • consulting
  • influencing executives
  • storytelling through data visualization
  • insight-backed hypotheses
  • learning plans
  • business cases
  • cross-functional collaboration
  • Product teams
  • Retail industry experience
  • Meta’s advertising solutions for Retail partners
  • Meta’s full suite of advertising solutions

Nice to have

  • prompt/context engineering
  • agent orchestration
  • emerging AI technologies
  • risk assessment
  • bias mitigation
  • quality and accuracy reviews
  • AI tools to optimize/redesign workflows
  • efficiency gains
  • quality improvements

What the JD emphasized

  • 12+ years of experience in performance marketing, digital marketing, or client-facing strategy and consulting roles
  • 3+ years of experience as proven advisor influencing executives and clients
  • 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-backed hypotheses and driving learning plans to build compelling business cases and influence key decisions
  • 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 ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)