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 land impact 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 work experience in analytics, 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 ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
$108,000/year to $158,000/year + bonus + equity + benefits
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