Responsibilities
- Design proactive programs and treatments (research & analytics initiatives or other go to market strategies) that can help the small businesses onboard to advertising and grow
- Drive advertiser adoption of marketing best practices and products to ensure successful onboarding to advertising
- Identify research & analytics initiatives that create clear understanding of how Marketing Science can help small business segments grow
- Work closely with sales, product, and other cross-functionals to drive direct impact on small business marketing strategy
- Communicate results and illustrate suggestions in creative ways to stakeholders and partners
- Build processes that scale ad-effectiveness research initiatives
- Advocate for small businesses with other research and product teams to ensure that solutions are designed with businesses of all shapes and sizes in mind
Minimum Qualifications
- Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Bachelor's degree in a directly related field, or equivalent practical experience
- 5+ years experience in a quantitative field, such as consulting, market research, media research
- Experience working with large datasets and using SQL or similar tools for data extraction and manipulation
- Experience communicating complex concepts to non-technical audiences
- Direct experience scoping and executing research projects with clients and/or cross-functional stakeholders
- Experience in applied research with focus areas such as media consumption, consumer behavior or marketing effectiveness
- Experience with digital advertising measurement methods and technologies
Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Understanding of current media landscape and challenges small business advertisers face
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience working with structured and unstructured data-sets, statistical software such as R, SPSS, SAS as well as data extraction tools such as Hive and/or SQL
- Knowledge of dynamics and structure for sales teams
$113,000/year to $162,000/year + bonus + equity + benefits
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