AI Content Manager Job Description
A comprehensive job description template for hiring an AI Content Manager, including responsibilities, qualifications, and interview guidance.
Position Overview
AI Content Manager
Department: Marketing / Content / Operations
Reports to: Head of Content, VP Marketing, or Chief Content Officer
Location: [Remote / Hybrid / On-site]
Experience Level: Mid to Senior (3-7+ years)
Salary Range: $90,000 - $150,000 depending on experience and location
Role Summary
We're seeking an AI Content Manager to transform our content operations through the strategic implementation of AI-powered workflows and systems. This role will design, build, and manage content production processes that leverage artificial intelligence to scale our output while maintaining our quality standards and brand voice.
The ideal candidate combines deep content expertise with technical capability, systems thinking, and a passion for leveraging AI to solve operational challenges. You'll work cross-functionally to integrate AI tools into our content ecosystem and train teams on best practices for AI-assisted content creation.
Key Responsibilities
Content Workflow Design & Implementation (40%)
- Design and build AI-powered content workflows that increase team productivity 2-3x
- Map current content processes, identify bottlenecks, and implement AI solutions
- Create integrated systems connecting multiple tools (CMS, AI platforms, project management)
- Continuously optimize workflows based on performance data and team feedback
- Document processes and create SOPs for AI-assisted content production
AI Tool Management & Integration (25%)
- Evaluate and select AI content tools that align with team needs and budget
- Implement and configure platforms (Jasper, Copy.ai, Writer, or similar)
- Build custom integrations using APIs and automation tools (Zapier, Make)
- Manage tool stack, vendor relationships, and license optimization
- Stay current on emerging AI capabilities and run pilots of new tools
Quality Framework & Governance (20%)
- Establish quality standards and review processes for AI-generated content
- Create brand voice guidelines and prompt templates that ensure consistency
- Design human-in-the-loop review workflows at appropriate quality gates
- Build content quality scoring rubrics and train evaluators
- Develop governance policies for responsible AI use in content creation
Training & Change Management (10%)
- Train content team on AI tools, prompt engineering, and workflow best practices
- Create training materials, documentation, and ongoing support resources
- Lead change adoption efforts and foster experimentation culture
- Provide troubleshooting and technical support for AI tool issues
Analytics & Performance Measurement (5%)
- Track KPIs: content velocity, quality scores, cost per piece, team efficiency
- Build dashboards and reports to demonstrate ROI of AI implementations
- Conduct regular performance reviews and identify improvement opportunities
- Use data to guide tool selection, workflow refinements, and resource allocation
Required Qualifications
Experience
- 3-5+ years in content management, content operations, or related roles
- Demonstrated experience building content workflows or operations systems
- Hands-on experience with AI content tools (ChatGPT, Claude, Jasper, Copy.ai, Writer, etc.)
- Track record of implementing process improvements that delivered measurable results
- Experience managing content at scale (20+ pieces per month minimum)
Technical Skills
- Proficiency with workflow automation tools (Zapier, Make, or similar)
- Understanding of API concepts and ability to implement basic integrations
- Advanced prompt engineering skills for content AI platforms
- Experience with content management systems, project management tools, and analytics platforms
- Data analysis capabilities including spreadsheet modeling and dashboard creation
Content Expertise
- Strong editorial judgment and understanding of content quality standards
- SEO knowledge and experience optimizing content for search and discovery
- Familiarity with various content types (blog posts, documentation, social, email, etc.)
- Brand voice development and consistency enforcement experience
Soft Skills
- Systems thinking: ability to design complex workflows and see interconnections
- Strong communication skills for training, documentation, and cross-functional collaboration
- Problem-solving orientation with comfort in ambiguous, evolving environments
- Self-directed learner who stays current on AI developments
- Change management skills to drive adoption and overcome resistance
Preferred Qualifications
- Experience in B2B SaaS, technical content, or high-volume content environments
- Light coding or scripting skills (Python, JavaScript) for custom automation
- Previous experience training teams or creating educational content
- Familiarity with modern AI/ML concepts and understanding of LLM capabilities and limitations
- Experience with headless CMS, DAM systems, or content APIs
- Background in content operations, marketing operations, or technical program management
Interview Questions
1. Describe a content workflow you've built or significantly improved. What was the problem, your solution, and the results?
Look for: specific metrics, systems thinking, understanding of bottlenecks, iterative approach
2. Walk me through how you would evaluate whether to adopt a new AI content tool.
Look for: structured evaluation criteria, pilot approach, ROI consideration, change management awareness
3. How do you ensure AI-generated content maintains brand voice and quality?
Look for: specific quality frameworks, human review processes, prompt engineering techniques, testing methodology
4. Tell me about a time you had to get a team to adopt a new tool or process they were resistant to.
Look for: empathy, communication skills, training approach, change management strategies
5. What AI content tools have you used, and what did you learn about their strengths and limitations?
Look for: hands-on experience, nuanced understanding, practical use cases, awareness of current AI landscape
Success Metrics for This Role
30 Days
- Audit current content workflows and identify 3-5 optimization opportunities
- Evaluate existing tool stack and recommend improvements
- Meet all stakeholders and understand team pain points
60 Days
- Implement first AI-powered workflow improvement with measurable impact
- Establish baseline metrics for content velocity and quality
- Begin team training on AI tools and best practices
90 Days
- Deliver 20-30% improvement in content production efficiency
- Document all workflows and create SOPs for AI-assisted content
- Present ROI analysis and roadmap for future improvements
6 Months
- Achieve 2x improvement in content velocity while maintaining quality
- Full team adoption of AI workflows with positive sentiment
- Establish sustainable operations with clear governance and quality frameworks
Related Resources
Complete AI Content Manager Guide
Learn about the role, responsibilities, and what makes a great AI Content Manager.
Essential Skills for AI Content Managers
The technical, content, and operational skills needed to succeed in this role.
AI Content Manager Salary Guide
Compensation ranges, factors, and negotiation strategies.
AI Content Manager Tool Stack
Complete guide to the tools and platforms AI Content Managers use daily.
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