Content factory ai editor

21 ago - Italia
Experteer Italy

Experteer Overview In this role you will support and optimize Prada's end-to-end PDP image generation workflow, ensuring consistent, high-quality still-life and on-model content. You will define visual guidelines for 360 image production and help launch asset generation workflows, while supervising post-production refinement to align with brand standards. You'll collaborate with cross‐functional teams to enable scalable content production and drive continuous improvement of AI‐driven outputs. This position offers a chance to shape luxury content production at a global fashion leader. Retribuzione / Benefits Orchestrate end-to-end AI‐driven asset production (image, video, variants) Translate creative briefs into prompts, workflows, and generation logic Manage iteration cycles (prompt tuning, model selection, re‐generation strategies) Ensure timely delivery across multiple workstreams Monitor output against Prada brand standards (views, formats) Perform still‐life and on‐model post‐production and refinement when needed Apply quality control for consistency, realism,



and luxury codes Adapt workflows to project needs for efficiency and quality Provide feedback to improve workflows, tools, and generation processes Partner with Content and Marketing Digital teams to define standards and output guidelines Drive upskilling on Gen AI tools and governance on AI usage Responsabilità 3 years of experience in leading marketing agency, creative design studio, or creative‐centric organization with hands‐on content production Strong portfolio with high‐quality marketing content across image and/or video Hands‐on experience with AI generators and prompting skills (e.g., Google Vertex, Higgsfield, Seedance, Freepik, Kling, Flora) Proficiency in editing tools (Adobe Creative Suite) and content production orchestration tools Strong attention to detail and quality control mindset Ability to collaborate in a dynamic, fast‐paced environment English proficiency (written and spoken) #J-1880

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