Client Solutions Manager

Meta Meta · Big Tech · New York, NY

Client Solutions Manager for Meta’s Global Business Group, acting as a strategic client partner to drive solutions, leverage analytical skills, and develop platform/product expertise for Fortune 1000 advertisers. The role involves media planning, strategy, measurement, performance marketing, negotiating complex opportunities, and using data-driven consultative sales approaches. Responsibilities include acting as a product & insights expert, building client relationships, managing a book of business, identifying new business opportunities, designing experimentation initiatives, and serving as an external product consultant. Qualifications include advanced data structuring and analysis, experience with online advertising, and a demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, along with a focus on responsible AI practices.

What you'd actually do

  1. Act as a product & insights expert to identify and implement marketing solutions that drive measurable business results for our partners
  2. Build and manage relationships with key clients and agency partners (media, creative, marketing partners, etc.)
  3. Manage a book of business and drive performance through operational rigor and sales acumen, identifying upselling and cross-selling opportunities, analyzing sales data, creating targeted sales strategies
  4. Identify and lead new business opportunities through developing and driving strategic account plans to drive investment growth
  5. Design experimentation initiatives, develop experiment tracking, analyze results and present recommendations

Skills

Required

  • Advanced experience structuring and manipulating raw data into datasets for analysis
  • Expertise analyzing data from a variety of different sources (quantitative and qualitative), presenting the data in a clear and concise manner, and developing actionable insights
  • Demonstrated track record in leveraging data, developing insight-backed hypotheses and driving learning plans to build compelling business cases
  • Demonstrated track record in leveraging data to develop broader prototyping solutions for the entire team
  • Demonstrated track record driving a book of business, increasing revenue and business performance
  • Experience delivering insights to both technical and non-technical audiences
  • Experience working with cross-functional teams
  • Experience influencing C-level executives and clients
  • Experience navigating ambiguity with agility to effectively lead complex and changing priorities
  • Proven understanding of the technology landscape
  • 8+ years of experience with online advertising/online media
  • Knowledge of SQL, relational databases, and/or statistical packages such as R, SAS, SPSS
  • Knowledge and experience with data querying (e.g., SQL, advanced excel/GSheet)
  • 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)
  • Experience with business case modeling and market/opportunity sizing
  • Experience with Meta’s full suite of advertising solutions
  • Experience working cross-functionally with Product teams to improve product features and functionalities
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Nice to have

  • Bachelor's degree in a relevant field

What the JD emphasized

  • proven understanding of performance marketing
  • data and analytical skills
  • proven understanding of the technology landscape
  • 8+ years of experience with online advertising/online media
  • 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)