Client Solutions Manager

Meta Meta · Big Tech · Los Angeles, CA +2

Client Solutions Manager for Meta’s Global Business Group, focusing on Fortune 1000 advertisers. This role involves leveraging analytical skills and platform expertise to provide consultative services in media planning, strategy, and measurement. Responsibilities include building client relationships, driving revenue through negotiation and optimization, developing data-driven sales strategies, designing and analyzing experiments, and educating clients on product solutions. The role requires strong data and analytical skills, the ability to translate business objectives into analysis frameworks, and collaboration with cross-functional teams.

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. Develop narratives and recommendations from custom analyses, build presentations, and present findings to business stakeholders

Skills

Required

  • SQL
  • advanced excel/Google Sheet
  • data querying
  • business case modeling
  • market/opportunity sizing
  • online advertising/online media
  • structuring and manipulating raw data
  • analyzing data from a variety of different sources
  • developing actionable insights
  • developing insight-backed hypotheses
  • driving learning plans
  • building compelling business cases
  • developing broader prototyping solutions
  • driving a book of business
  • increasing revenue and business performance
  • delivering insights to both technical and non-technical audiences
  • working with cross-functional teams
  • influencing C-level executives and clients
  • navigating ambiguity with agility
  • understanding of the technology landscape
  • prompt/context engineering
  • agent orchestration
  • responsible, ethical AI practices
  • risk assessment
  • bias mitigation
  • quality and accuracy reviews
  • integrating AI tools to optimize/redesign workflows
  • driving measurable impact
  • efficiency gains
  • quality improvements
  • working cross-functionally with Product teams

Nice to have

  • R
  • SAS
  • SPSS
  • Meta’s full suite of advertising solutions

What the JD emphasized

  • Fortune 1000
  • multi-channel advertisers
  • performance marketing
  • negotiating and optimizing complex opportunities
  • data and analytical skills
  • prioritize competing workstreams
  • 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
  • 12+ years of experience with online advertising/online media
  • Knowledge and experience with data querying (e.g., SQL, advanced excel/Google Sheet)
  • Knowledge of SQL, relational databases, and/or statistical packages such as R, SAS, SPSS
  • Experience with business case modeling and market/opportunity sizing
  • 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)
  • Experience working cross-functionally with Product teams to improve products features and functionalities