Client Solutions Manager

Meta; San Francisco (CA); On-site; USD 87,000 - 131,000; Full time

Job summary

Meta is seeking a Client Solutions Manager for its Global Business Group in San Francisco, CA. You will partner with sales to develop client relationships and deliver data-driven media planning, strategy, and measurement for top advertisers.

Responsibilities include acting as product and insights expert, designing experiments, presenting findings to stakeholders, and coordinating cross-functional teams to optimize complex opportunities. Travel as needed.

Qualifications

• 5+ years of experience in online advertising/online media.
• Experience analyzing data from multiple sources and presenting insights.
• Ability to communicate insights to both technical and non-technical audiences.

Responsibilities

• Act as a product and insights expert to drive measurable results for partners.
• Build and manage relationships with key clients and agency partners.
• Craft narratives from analyses and present findings to stakeholders.
• Design experiments, track results, and recommend actions.
• Educate clients on product solutions and best practices to expand business.
• Drive media and measurement strategy, optimization to increase performance.

Skills

Data analysis

Cross-functional collaboration

Storytelling with data

Advertising technology

SQL

Tools

SQL

Job description

Summary:

The Client Solutions Manager for Meta’s Global Business Group is a professional with proven experience in scoping, developing and implementing strategies and plans that increase impact, putting our customers at the core of everything we do. This is an opportunity to build and manage key client relationships, leverage analytical skills, and develop platform and product expertise to become a trusted consultant in media planning, strategy, and measurement for Meta's top advertisers. With a proven understanding of performance marketing, this role is responsible for partnering with the sales team to develop client relationships and drive revenue by negotiating and optimizing complex opportunities. Success in this position requires data and analytical skills that allow the individual to translate a business objective into an analysis framework, in order to provide data-driven consultative sales solutions data-driven consultative sales solutions.

Required Skills:

Client Solutions Manager Responsibilities:

1. Act as a product & insights expert, in partnership with Client Partner, 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
3. Craft narratives and recommendations from custom analyses, build presentations, and present findings to business stakeholders
4. Design experimentation initiatives, develop experiment tracking, analyze results and present recommendations
5. Serve as external product consultant educating clients and agencies on product solutions and best practices, and ultimately grow existing business partnership
6. Drive proactive media & measurement strategy, implementation, and optimizations to increase performance and investments
7. Oversee account operations (e.g. troubleshooting issues, account set up, etc.)
8. Work and collaborate with diverse group of internal cross-functional teams to project manage complex workstreams
9. Travel as needed

Minimum Qualifications:

Minimum Qualifications:

1. Advanced experience structuring and manipulating raw data into datasets for analysis
2. 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
3. Proven track record in leveraging data, developing insight-backed hypotheses and driving learning plans to build compelling business cases
4. Experience delivering insights to both technical and non-technical audiences
5. Experience working with diverse set of cross-functional teams
6. Experience influencing executive level clients
7. 5+ years of experience in online advertising/online media

Preferred Qualifications:

Preferred Qualifications:

1. Knowledge and experience with data querying (e.g., SQL)
2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
3. Experience working cross-functionally with Product teams to improve product features and functionalities
4. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
6. Knowledge of statistics and experience with statistical packages as R, SAS, SPSS
7. Experience with Meta’s full suite of advertising solutions
8. Experience with business case modeling and market/opportunity sizing

Public Compensation:

$87,000/year to $131,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affiantive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].