全球产品质量产品分析师

Identify and prioritize product quality opportunities by analyzing user-facing issues, performance signals, and usability friction across Meta's family of apps

Design and execute end-to-end analyses — including hypothesis formulation, data collection strategy, statistical testing, and insight synthesis — to evaluate the impact of product quality initiatives

Define, monitor, and evolve product quality metrics and health dashboards that track reliability, performance, and user experience trends across global markets

Build scalable self-service data visualizations and reporting tools that enable product and engineering partners to explore quality signals and diagnose regressions independently

Partner with product management, engineering, and design teams to translate analytical findings into prioritized roadmap recommendations that reduce user-facing defects and improve product experience

Develop and maintain predictive models and forecasting analyses to anticipate quality degradation risks and size the impact of proposed product improvements

Communicate experiment results, quality trends, and data-driven recommendations clearly to cross-functional stakeholders, adapting the narrative for both technical and non-technical audiences

Contribute to setting team-level goals by identifying measurable success metrics that connect product quality outcomes to broader business objectives

Leverage AI-integrated workflows to accelerate analysis, automate recurring quality monitoring tasks, and surface insights at greater scale and speed

Advise cross-functional partners on analytical design best practices, ensuring that research plans and experiment designs rigorously address product quality hypotheses

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

5+ years of experience in product analytics, data science, or a related quantitative discipline focused on product quality, reliability, or user experience measurement

5+ years of experience with SQL and at least one scripting or statistical programming language (e.g., Python, R) for data extraction, transformation, and analysis

Experience designing and interpreting product experiments, including A/B testing, hypothesis testing, and causal inference methods applied to product quality context

Experience building data visualizations and self-service dashboards that communicate product health metrics to cross-functional stakeholders

Experience translating complex quantitative analyses into clear, actionable recommendations and influencing product roadmap decisions through data-driven narratives

Experience applying forecasting or predictive modeling techniques to anticipate product quality risks or size improvement opportunities

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience working on product quality, reliability engineering, or user experience analytics at a global scale across multiple product surfaces or platforms

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)

Experience integrating AI tools into analytics workflows to accelerate insight generation, automate monitoring, or expanding the analytical scope

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

5+ years of experience in product analytics, data science, or a related quantitative discipline focused on product quality, reliability, or user experience measurement.