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Product Content Engineer

Meta· Content Strategy
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Hybrid (Menlo Park, CA)$193k - $269kFull-timePosted 4mo ago

About the role

Meta's Product Content Engineering team builds content experiences across platforms, focusing on discovery and distribution at scale. The role drives evals, automation strategies for manual efforts, and cross-functional alignment with PMs to deliver high-priority work and advance AI capabilities within fast-paced, ambiguous environments.

Responsibilities

  • Develop and execute strategies for FoA product teams to evaluate LLM models at scale across content work.
  • Drive sprints for LLM model evaluations and auto judge creation in core PCE areas, while devising and implementing systems to increase evals capacity in areas involving the building of AI creator tools, content quality, content understanding and Search.
  • Understand technical product needs and translate those into actionable direction for content-focused cross-functional teams.
  • Understand Meta's strategic and competitive position and deliver content strategies and product solutions that are aligned with our mission and recognized best in the industry.
  • Define emergent opportunities and drive impact via execution in highly ambiguous areas.
  • Agile support and flexibility is required.

Qualifications

  • 6+ years of demonstrated experience driving relevance on content platforms, with experience with video creators, ranking systems, content strategy, content labeling and analysis
  • 1+ years working with GenAI products, prompt engineering, annotation, and/or content labeling and analysis
  • Expertise in developing and implementing high-quality datasets, annotations, and evaluation metrics that drive the training and improvement of generation models
  • Experience working independently and autonomously
  • Previous experience collaborating with product and technical teams
  • Proven knowledge of industry trends and news
  • Experience driving cross-functional projects to build products, respond to urgent needs, preempt issues and address concerns in collaborative and timely fashion
  • The Content Engineer should be experienced in content production and understanding, strategy and analysis to execute across a variety of projects, ideally in multiple languages

Skills

Required:Evaluations of AI models at scaleGenAI, prompt engineering, annotationDataset development and evaluation metricsCross-functional collaboration

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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