Help Center Content Strategist: AI-Powered Support

Meta; New York (NY); On-site; USD 120,000 - 177,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta's Help Center team seeks an experienced Content Strategist to develop and optimize self-serve help content for Meta products. You will craft audience-ready content and collaborate with product, operations and legal teams to test launches, build training data, prompts, and AI evaluation methods for reliable AI-powered support.

Youll drive data-informed decisions with stakeholders to improve content strategies and model performance at scale in a dynamic environment.

Qualifications

• 5+ years of content strategy experience including creation, management and editing.
• 3+ years in help/support content, CMS/workflows, or online operations at a tech company.
• Experience managing multiple projects through ambiguity and changing deadlines.
• Experience using AI tooling to complement content workflows.
• Experience building or evaluating AI model training datasets, prompts, or assessing model output quality.
• Experience tracking, analyzing and reporting content metrics to improve platform and model performance.

Responsibilities

• Explain complex product and policy concepts in simple, jargon-free language for humans and machines.
• Partner with product, operations, legal and subject-matter experts for product launches.
• Build and evaluate training data, prompts and LLM judges for AI-powered support.
• Develop prompts and AI-driven evaluation systems for automated responses at scale.
• Use data with cross-functional partners to drive content and AI-support initiatives.

Skills

Content strategy

AI tooling

Project management

Content metrics

Editing

Tools

Content Management Systems (CMS)

XML editing

Job description

Meta's Help Center team seeks an experienced Content Strategist to develop and optimize self-serve help content for Meta products. You will craft audience-ready content and collaborate with product, operations and legal teams to test launches, build training data, prompts, and AI evaluation methods for reliable AI-powered support.

Youll drive data-informed decisions with stakeholders to improve content strategies and model performance at scale in a dynamic environment.