Client Solutions Manager

The Meta Game, Inc.
Menlo Park, CA, United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$65,000.0 - $102,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Database Queries R (Programming Language) SPSS (Software) Raw Data SAS (Software) SQL Databases Data Analytics

Job description

The Client Solutions Manager for Meta’s Global Business Group is a strategic and solutions-oriented professional who puts our customers at the core of everything we do. This is an opportunity to lead key client relationships, leverage analytical skills, and develop platform and product expertise to become a trusted consultant in media planning, strategy, and measurement to our Fortune 1000, multi-channel advertisers. With proven understanding of performance marketing, this role is responsible for partnering with the sales team to develop trusted relationships, drive revenue by negotiating and optimizing complex opportunities. Success in this position requires effective data and analytical skills that allow the individual to translate a business objective into an analysis framework, in order to provide effective data-driven consultative sales approach, and the capacity to collaborate effectively in a team-focused environment and adapt to evolving business priorities delivering against business goals., 1. Act as a product & insights expert to identify and implement marketing solutions that drive measurable business results for our partners

  1. Build and manage relationships with key clients and agency partners (media, creative, marketing partners, etc.)
  2. 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
  3. Identify and lead new business opportunities through developing and driving strategic account plans to drive investment growth
  4. Develop narratives and recommendations from custom analyses, build presentations, and present findings to business stakeholders
  5. Design experimentation initiatives, develop experiment tracking, analyze results and present recommendations
  6. Serve as external product consultant educating clients and agencies on product solutions and best practices, and ultimately grow existing business partnership
  7. Drive proactive media & measurement strategy, implementation, and optimizations to increase performance and investments
  8. Oversee account operations (e.g. troubleshooting issues, account set up, etc.)
  9. Work and collaborate with diverse group of internal cross-functional teams to project manage complex workstreams
  10. Travel as needed

Requirements

  1. Advanced experience structuring and manipulating raw data into datasets for analysis
  2. Experience analyzing data from a variety of different sources (quantitative and qualitative), presenting the data in a clear and concise manner, and developing actionable insights
  3. Proven track record in leveraging data, developing insight-backed hypotheses and driving learning plans to build compelling business cases
  4. Proven track record in leveraging data to develop broader prototyping solutions for the entire team
  5. Proven track record driving a book of business, increasing revenue and business performance
  6. Experience delivering insights to both technical and non-technical audiences
  7. Experience working with diverse set of cross-functional teams
  8. Experience influencing C-level executives and clients
  9. Experience navigating ambiguity with agility to effectively lead complex and changing priorities
  10. Understanding of the technology landscape
  11. 3+ years of experience with online advertising/online media, 1. Experience with business case modeling and market/opportunity sizing
  12. Experience with Meta’s full suite of advertising solutions
  13. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  14. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  15. Experience working cross-functionally with Product teams to improve products features and functionalities
  16. Knowledge of statistics and experience with statistical packages such as R, SAS, SPSS
  17. Knowledge and experience with data querying (e.g., SQL, advanced excel/GSheet)
  18. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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Apply on www.nexxt.com
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