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

Requirements

• 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

• 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