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Product Content Engineer

Meta· Content Strategy
Apply on company site
Los Angeles, CA$162k - $227kFull-timePosted 7mo ago

About the role

Content Strategy function supporting Meta's family of apps. Focused on evaluating and improving AI-powered content experiences by defining quality standards, creating evaluation frameworks, and building workflows to assess AI outputs across products.

Responsibilities

  • Define content quality standards and use them to systematically evaluate how AI models are performing across our products and content experiences
  • Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments
  • Build repeatable workflows for collecting, annotating, and analyzing AI outputs so evaluations can run efficiently as models evolve
  • Evaluate successive model releases through structured comparison, documenting what improved, what regressed, and what to prioritize next
  • Design evaluation frameworks that integrate qualitative and quantitative signals to measure dimensions like user trust, content depth, and topical relevance
  • Develop processes to track content quality and model performance over time and flag regressions
  • Synthesize evaluation results into structured error patterns and concrete recommendations that engineering and product teams can act on
  • Work cross-functionally with engineers, data scientists, product managers, and content strategists to align AI behaviors with real-world user expectations

Qualifications

  • 5+ years of experience working collaboratively with product, engineering, design, and user research teams
  • 1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis
  • Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems
  • Demonstrated data analysis skills, with experience exploring data, identifying patterns, and producing actionable insights
  • Experience building new products or platform/ecosystem products
  • Critical thinking, experience leading data-driven analyses to inform product or content decisions, and experience communicating to executive leadership
  • Proven track record of cross-functional collaboration and delivering results in environments with evolving requirements and competing priorities

Skills

Required:Content quality standardsEvaluation frameworksData analysis

Benefits

  • Benefit information described in the posting is available via the linked Meta Benefits page; specific items are not enumerated in the job description.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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