Responsibilities
- Drive long-term growth of Meta Inc products through a combination of data analysis, product ideation, and experimentation to optimize product experiences
- Use data to understand trends in user behavior and product usage to influence strategy
- Identify opportunities to drive growth and prioritize them to maximize long term growth
- Execute on projects by working closely with engineering, product management, data science, and other members of product teams to deliver on product goals
- Lead experimentation from designing tests to analyzing results in order to make launch decisions
Minimum Qualifications
- Proven to effectively collaborate across various of technical and non-technical functions to drive towards common product goals
- 2+ years of experience working in an analytical or product role
- 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
- 2+ 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
- Proficiency in quantitative analysis geared towards drawing actionable insights from complex datasets
- Experience working with and influencing multi disciplinary product teams consisting of, but not limited to software engineers, designers, product managers and data scientists
- 2+ years of experience in analytics and data querying languages such as SQL
- 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
$108,000/year to $158,000/year + bonus + equity + benefits
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