FAQs
What is the primary focus of the Marketing Researcher position at Meta?
The primary focus of the Marketing Researcher position is to enhance the value of Meta branded products by identifying opportunities and actualizing marketing strategies, particularly in relation to Meta’s Llama AI.
How many years of experience are required for this role?
A minimum of 10 years of experience in quantitative and qualitative research with business audiences is required for this role.
What kinds of research methods will be used in this role?
The role will involve designing and executing both qualitative and quantitative research across multiple methods.
What responsibilities does the Marketing Insights Researcher have in the context of data?
The Marketing Insights Researcher is responsible for elevating essential data to produce clear deliverables and translating those into actionable strategies and tactics.
Is experience in partnership with enterprise decision makers preferred for this position?
Yes, experience partnering with enterprise decision makers and/or developers is preferred for this position.
What kind of teams will the Marketing Researcher work with?
The Marketing Researcher will work closely with cross-functional teams including Marketing, Creative, Decision Science, and Global Marketing Insights teams.
What does the compensation package include for this role?
The compensation package includes a base salary ranging from $160,000 to $219,000 per year, plus bonuses, equity, and benefits.
Does Meta offer reasonable accommodations for candidates with disabilities?
Yes, Meta is committed to providing reasonable accommodations for candidates with disabilities in the recruiting process.
What is the goal associated with Meta's Llama AI in this role?
The goal is to advance the future of open source and drive the adoption of Llama AI with enterprise decision makers.
Is there a focus on informing marketing strategy in this position?
Yes, there is a strong emphasis on informing marketing strategy, not just on execution, and synthesizing information from multiple sources to influence major business decisions.