Drimva

Meta

Product Analyst, Global Product Quality

$136K–$185K

Menlo Park, CA +1 · Full-time · Posted Oct 25, 2026

Location
Menlo Park, CA
Seattle, WA
Experience
5+ years in product analytics, data science, or a related quantitative discipline focused on product quality, reliability, or user experience measurement; 5+ years with SQL and at least one scripting or statistical programming language.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Analyzes global product quality data to identify user-facing issues, guide product improvements, and help Meta deliver localized experiences across its apps.

What you'll do

  • Analyze quality signals and user issues; define and monitor product health metrics and dashboards.
  • Design experiments and predictive analyses, then translate findings into roadmap recommendations.
  • Use AI-integrated workflows to accelerate analysis and automate quality monitoring; communicate insights to stakeholders.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a 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, such as Python or R.
  • Experience designing and interpreting product experiments, building self-service dashboards, and translating quantitative analysis into actionable product recommendations.

Nice to have

  • Experience evaluating AI tooling or developing AI evaluations, and applying forecasting or predictive modeling.
  • Experience with global-scale product quality, reliability engineering, or user experience analytics, and responsible AI practices.

Pay

$136,000/year to $185,000/year USD base salary; bonus and equity also stated, amounts unspecified

Tools

SQL, Python, R

AI focus

Integrate AI tools into analytics workflows to accelerate insights, automate quality monitoring, and expand analytical scope; evaluate AI tooling or develop AI evaluations; apply responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)