AI Content & Workflow Executive

About the role

Bring the discipline of a production line to generative AI content. You design, build and run the workflows that connect insight, concept, prompt, image, video and edit into one system, so the studio and the brand teams can move from brief to finished, on-brand content faster, at volume, without losing quality. You will make content too. But the workflow is king, not the tools and not any single piece of output. Tools are nodes inside it, and those nodes change every few months. Your job is to keep the system sharp as they do. Think of this as a systems builder first, a creator second. You will not just be prompting; you will be engineering how content gets made. Your work falls into two pillars. Core workflow: designing, documenting and maintaining the studio's end-to-end AI content pipeline, and building the playbooks that let another market run it without you in the room. Content through it: producing short-form social, digital and brand content for Reckitt brands using the pipeline you own, so you feel first-hand where it is slow, weak or expensive, and fix it.

Your responsibilities

Workflow and system design

• Design, build and maintain the end-to-end AI content pipeline: brief and insight, image and video generation, editing, versioning and hand-off to media. Every step written down, with inputs, outputs and pass marks.
• Turn what works into replicable playbooks: prompt libraries, brand rule sets, character, pack and product references, model routing rules, quality checklists. If it lives only in someone's head, it does not count.
• Own workflow governance, quality control and reliability. Brand rules, product accuracy and legal constraints are built into the system, not checked at the end.

Scale and multiplication

• Set up batch generation, variant multiplication and versioning so one winning asset becomes the platform edits, language and dialect versions, seasonal reskins and retail-media cuts the business needs.
• Build frameworks that hold across multiple brands, markets and channels rather than one-off pipelines per campaign.

Content production

• Translate briefs and storyboards into AI-generated images, video sequences and visual concepts that hold brand rules, product accuracy and cultural fit for KSA, UAE and the wider GCC.
• Write and refine prompts for consistent characters, environments, products and visual styles across a batch, not just a single hero shot.
• Combine AI output with editing, sound, motion and conventional production to reach finished, publishable quality on TikTok, Reels, Shorts and retail media.

Tool evaluation and innovation

• Track the generative AI landscape continuously. Evaluate new models and tools against our capability standard, not the hype, and swap nodes in and out without breaking the workflow around them.
• Stress-test new capabilities and give structured feedback on where they fit, what they cost and where they fail.

Enablement and transfer

• Own the technical documentation, playbooks and training for brand and content teams.
• Run training sessions, workshops and office hours as the workflow rolls out, and support other Reckitt markets as they adopt it.
• Act as the studio's authority on what generative AI can and cannot do today, in plain language, to marketers and leadership.

The experience we're looking for

Workflow thinking matters more than any one tool, and more than raw creative pedigree. Direct, production-level GenAI experience: hands-on with current image and video tools (for example Higgsfield, Midjourney, Runway, Kling, Veo, Sora, FLUX, ElevenLabs). You can explain the strengths, limits and cost of each, and when you would pick one over another. Systems thinking: you have built or run a repeatable AI content process, not just one-off experiments. You think about how one step's output becomes the next step's input, and the second run was faster than the first. Technical literacy: this is not an engineering role, but you are comfortable with prompt libraries, reference management, batch and API-driven generation, automation tools (Zapier, Make, n8n or similar) and working with LLMs such as Claude or ChatGPT to structure briefs, prompts and quality checks. Light scripting is a plus, not a requirement. Consistency as a technical problem: you know the methods that keep characters, products, packs and environments holding across dozens of outputs. Creative foundation: storytelling, composition, cinematography and editing (Premiere Pro, After Effects, CapCut, Photoshop or similar), and a clear sense of what platform-native means on TikTok, Reels, Shorts and retail media. Diagnostic eye: you can look at an AI output and say both why it does not look right and which step in the process produced the fault. Plain-language communication: you can explain a model's failure modes, a workflow trade-off or a cost decision to a brand manager without jargon, and you enjoy doing it. Experience: three to six years in content production, creative technology, digital or a related field. Regional market experience and Arabic are strong advantages.

The skills for success

You find an inconsistent output to be a process problem to be solved, not just a bad generation to be re-rolled. You are excited by the challenge of making a model follow a brand book and a pack shot with near-perfect fidelity, hundreds of times over. You would rather write the playbook that lets someone else make the content than be the only person who can. You want to define what content production looks like inside a global consumer company, not just use the tools.

Desired Candidate Profile

Direct, production-level GenAI experience: hands-on with current image and video tools (for example Higgsfield, Midjourney, Runway, Kling, Veo, Sora, FLUX, ElevenLabs). You can explain the strengths, limits and cost of each, and when you would pick one over another. Systems thinking: you have built or run a repeatable AI content process, not just one-off experiments. You think about how one step's output becomes the next step's input, and the second run was faster than the first. Technical literacy: this is not an engineering role, but you are comfortable with prompt libraries, reference management, batch and API-driven generation, automation tools (Zapier, Make, n8n or similar) and working with LLMs such as Claude or ChatGPT to structure briefs, prompts and quality checks. Light scripting is a plus, not a requirement. Consistency as a technical problem: you know the methods that keep characters, products, packs and environments holding across dozens of outputs. Creative foundation: storytelling, composition, cinematography and editing (Premiere Pro, After Effects, CapCut, Photoshop or similar), and a clear sense of what platform-native means on TikTok, Reels, Shorts and retail media. Diagnostic eye: you can look at an AI output and say both why it does not look right and which step in the process produced the fault. Plain-language communication: you can explain a model's failure modes, a workflow trade-off or a cost decision to a brand manager without jargon, and you enjoy doing it. Experience: three to six years in content production, creative technology, digital or a related field. Regional market experience and Arabic are strong advantages.