AI Content Strategist Job Description

Last updated on April 30, 2026

About the Position

Hiring an AI Content Strategist doesn't need to be hard. Here's a sample job description to help you find someone to own your brand voice systems, prompt libraries, and editorial review for AI-assisted content.

Use this as a good starting place for your next hire. Make sure to tailor it to your stack, content surface area, and AI maturity.

Why this Role Exists

You'll own how the brand shows up across AI-assisted blog posts, landing pages, lifecycle emails, social, and conversational surfaces. The job is part editorial leadership, part systems design, part change management. You'll build the prompt libraries, voice systems, and review workflows that let the team scale output without flattening quality, and you'll own the editorial calls about when AI belongs in the workflow and when it doesn't. You'll partner with marketing, product, design, and legal. The day-to-day is roughly 60% systems, 30% editorial review, 10% writing.

Responsibilities

• Defining the AI-assisted content strategy across the funnel and mapping each stage to the right blend of human and machine authorship.
• Building and maintaining the prompt library, brand voice system, and model selection guidelines. Versioned, documented, testable.
• Partnering with editors and writers on human-in-the-loop workflows: drafting, fact-checking, sourcing, voice review, final QA.
• Defining "good" for AI-assisted output and running regular evaluations against those standards. Manual rubrics, A/B tests, automated checks where they help.
• Working with SEO, product marketing, lifecycle, social, and design to integrate AI into existing pipelines without breaking them.
• Evaluating new models and tools (foundation models from Anthropic, OpenAI, open models on Hugging Face) and deciding which earn a place in the stack.
• Owning the response to AI-related editorial risks: hallucination, plagiarism, bias, IP exposure, disclosure. Partnering with legal and brand on policy.
• Mentoring writers, editors, and marketers on prompt craft, model behavior, and AI-assisted editorial best practices.
• Reporting on content performance and on the productivity, quality, and cost impact of AI in the editorial system.

Requirements

Non-negotiables:

• 5+ years in content strategy, editorial leadership, or content marketing. At least 1–2 years working hands-on with generative AI in production content workflows.
• A portfolio of AI-assisted programs you've shipped, with measurable outcomes and a clear-eyed view of what worked and what didn't. We will ask about the failures.
• Fluency with the current generative AI landscape: leading text models, image and video models, the tradeoffs between them.
• Strong prompt craft. You write structured prompts that produce reliable output, you iterate based on evaluation, and you can teach the rest of the team to do the same.
• Editorial chops. You can rewrite an AI draft into something a senior editor would ship.
• Working knowledge of SEO and how AI-assisted content interacts with answer engines and AI overviews.
• Comfort defining quality rubrics and turning evaluation results into decisions.
• Cross-functional fluency. You translate between marketing, product, design, legal, and engineering.

Nice to Have:

• Hands-on experience designing or implementing RAG over a brand knowledge base.
• Experience with fine-tuning, custom GPTs, agents, or building internal tools on top of model APIs.
• Familiarity with content ops tooling (CMS, DAM, workflow tools) and how to integrate AI into existing pipelines.
• Background in finance, health, legal, or another regulated industry where editorial accuracy is non-negotiable.
• Conversational AI, chatbot, or AI-driven personalization experience.

What Success Looks Like

By day 30. You've audited the current content stack, AI tooling, prompt assets, and editorial workflows. You've interviewed enough stakeholders to know where the leverage is. You've named the highest-priority gaps.

By day 60. You've shipped a versioned brand voice system and prompt library v1. You've set up a quality rubric and run a baseline evaluation. Two pilot AI-assisted programs are running end-to-end.

By day 90. Human-in-the-loop workflows are rolling out across the broader team. The first quarterly report on AI's impact on content quality, output, and business metrics is out the door.

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Related Resources

Hiring an AI Content Strategist in 2026

Hiring an AI Content Strategist doesn't need to be hard. Here's a guide on what the role actually owns, when to open it, what to look for in interviews, and what comp ranges look like in 2026.

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