Lead, Product Content Engineering — AI & Content Strategy

Meta; Menlo Park (CA); Hybride; USD 193 000 - 269 000; Plein temps

Résumé du poste

Meta’s Lead, Product Content Engineering in Menlo Park seeks a senior Content Engineer to drive evaluations of LLMs at scale, align cross-functional teams, and push automation of content and AI-driven experiences across products.

The role requires deep expertise in content strategy, data analytics, and GenAI, with a track record of delivering high-impact, scalable solutions in fast-growth environments. Hybrid work and strong collaboration are expected.

Qualifications

• 6+ years driving relevance on content platforms, with video creators and ranking systems.
• 1+ years working with GenAI products, prompt engineering, and content labeling.
• Experience building high-quality datasets, annotations, and evaluation metrics for training models.
• Ability to work independently and collaborate with product/technical teams.

Responsabilités

• Develop and execute strategies for FoA product teams to evaluate LLM models at scale.
• Drive sprints for LLM model evaluations and auto-judge creation for core PCE areas.
• Translate technical product needs into actionable directions for cross-functional teams.
• Define opportunities and drive impact in ambiguous areas with agile support.

Connaissances

Content strategy

Cross-functional

Data analysis

GenAI

Prompt engineering

Project management

Outils

Tableau

Description du poste

Meta’s Lead, Product Content Engineering in Menlo Park seeks a senior Content Engineer to drive evaluations of LLMs at scale, align cross-functional teams, and push automation of content and AI-driven experiences across products.

The role requires deep expertise in content strategy, data analytics, and GenAI, with a track record of delivering high-impact, scalable solutions in fast-growth environments. Hybrid work and strong collaboration are expected.