AI Content Strategy Lead

Content Strategy is evolving from a discipline that guides individual content experiences to one that shapes the systems through which content is created, governed, and scaled. Our AI content systems are already live. What's needed now is the strategic layer that ensures scale means better, not just more. As AI becomes embedded throughout the marketing ecosystem, organizations need new ways to ensure that strategic expertise is amplified and operationalized through technology.We are seeking an AI Content Strategy Lead to drive the vision and cross-functional alignment required to embed content strategy into AI-powered marketing systems. This is a highly strategic individual contributor role within Content Strategy that partners across Marketing Technology (including AI platform teams) and creative teams to ensure content expertise is embedded into AI-powered systems. The role will not directly manage teams or own AI platforms, but will influence and align stakeholders across organizations to ensure that strategic content expertise is represented within AI-enabled workflows and capabilities.The ideal candidate combines demonstrated AI product leadership with a deep understanding of how content strategy creates business value. They have experience translating strategic expertise into clear requirements that enable scalable systems, influencing outcomes through partners who own platform roadmaps, and driving organizational transformation through partnerships, vision, and execution.This role spans the full breadth of AI-generated marketing content, including copy, image, video, email, web, and advertising creative, in service of campaigns reaching millions of small business advertisers across scaled channels.

AI Content Strategy Lead Responsibilities:

• Define and drive the long-term vision for how Content Strategy is operationalized through AI-powered marketing systems and workflows, including the strategic requirements that preserve critical human judgment and oversight
• Partner with Marketing Technology teams to translate content strategy expertise into clear requirements, priorities, and success criteria that inform the AI platform's capabilities
• Design the knowledge architecture that structures customer insights, brand voice, audience context, messaging frameworks, and campaign intelligence for real-time access by AI agents and content generation systems. Define how marketing expertise is stored, retrieved, and applied so that AI produces strategically sound, not just grammatically correct, output
• Identify and recommend high-impact opportunities where AI can improve content quality, consistency, speed, and strategic alignment
• Establish governance guardrails, evaluation frameworks, and quality controls that ensure AI-generated content meets organizational standards while enabling scalable operating models
• Serve as a thought leader and advisor on the future of AI-enabled content strategy, helping to shape organizational direction and investment decisions
• Measure and communicate the business impact of AI-enabled content systems, including improvements in quality, consistency, efficiency, and strategic fidelity
  
  

Minimum Qualifications:

• 12 years of experience in content strategy, content operations, content technology, AI product management, marketing technology, marketing strategy, or related disciplines
• Track record of driving alignment and outcomes across multiple organizations without direct authority, particularly in environments where technology, strategy, and creativity intersect
• Experience translating ambiguous business needs into clear strategic requirements and articulating them to technical and cross-functional partners to inform AI product roadmaps
• Strong understanding of generative AI capabilities, limitations, governance considerations, and implementation patterns
• Experience defining requirements or shaping product roadmaps for AI, content technology, or marketing automation platforms as a non-engineering stakeholder
• Exceptional written and verbal communication skills, including experience in influencing leaders and executive stakeholders
• Experience driving organizational change, workflow transformation, or technology adoption at scale
  
  

Preferred Qualifications:

• Track record of defining new functions, operating models, or organizational capabilities in emerging technology domains
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience developing strategic plans and driving them through to implementation with measurable outcomes
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience with AI agent architectures, marketing knowledge systems, or retrieval-augmented generation (RAG) patterns that enable AI to access brand, audience, and messaging context when generating content
• Deep familiarity with content lifecycle management, content governance, and content quality evaluation frameworks
• Experience in establishing measurement frameworks for AI effectiveness, content quality, and strategic alignment
• Experience operating in large, matrixed organizations with shared ownership of technology platforms
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$182,000/year to $252,000/year bonus equity benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.