Responsibilities

Lead growth strategy across a large product area and drive cross-team alignment
• Drive long term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences
• Understand trends in user behavior and product usage to influence growth strategy
• Identify opportunities to drive growth and prioritize them to maximize long-term growth
• Execute on projects by working closely with engineering and other members of product teams to land impact on product goals. Lead experimentation from designing tests to analyzing results that lead to launch decisions

Minimum Qualifications
• Bachelor's degree in a directly related field, or equivalent practical experience
• 4+ years of experience working in an analytical or product role
• 4+ years of work experience in analytics, data querying languages such as SQL
• 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution, including defining metrics, experiment design, and communicating actionable insights
• Proven to effectively collaborate across variety of technical and non-technical functions to drive towards common product goals
• Experience working with and influencing multi disciplinary product teams consisting but not limited to software engineers, designers, product managers and data scientists
• Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets
• Experience performing exploratory analysis with minimal direction to answer ambiguous open ended questions
• Experimentation experience to design multivariate tests, synthesize test results and build frameworks to make data-informed launch decisions
• Product ideation skills to apply growth tactics broadly to different product areas and think through detailed elements of a product experience
• Experience working on a product or service used by a wide-range of communities

Preferred Qualifications
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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