AI Creative Designer

📍 Job Overview

Job Title: AI Creative Designer

Company: Jobgether (on behalf of a partner company)

Location: United Kingdom

Job Type: Full-time

Category: Creative & Media / Marketing Operations / Digital Design

Date Posted: May 15, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote

🚀 Role Summary

• This role is a unique blend of generative AI, digital design, and performance marketing optimization, focused on creating high-impact visual assets for customer acquisition campaigns.

• The primary objective is to produce visually compelling and conversion-focused imagery using cutting-edge AI tools, directly influencing campaign performance across digital channels.

• You will transform creative briefs into photorealistic visuals, lifestyle imagery, and A/B test variations, requiring a strong understanding of performance marketing principles and data-informed iteration.

• Collaboration with marketers, copywriters, and media teams is crucial to ensure visual alignment with messaging, funnel strategy, and overarching business objectives.

📝 Enhancement Note: While the title is "AI Creative Designer," the responsibilities and requirements strongly indicate a role within the operations and marketing technology space, specifically focusing on the creative production pipeline for performance marketing. The emphasis on data, optimization, and conversion aligns with Revenue Operations (RevOps) or Marketing Operations functions that leverage creative assets to drive business outcomes.

📈 Primary Responsibilities

• Generate high-quality AI-powered visuals tailored for performance marketing campaigns across paid social, search, and landing pages.

• Create photorealistic imagery, lifestyle scenes, and product-focused visuals specifically optimized for conversion-driven advertising strategies.

• Enhance, retouch, and extend existing photo assets using AI tools and creative workflows to meet campaign demands.

• Develop a diverse range of creative variations to support rigorous A/B testing, ongoing optimization, and effective campaign scaling.

• Ensure strict adherence to brand guidelines, product specifications, and campaign requirements across all visual deliverables.

• Rapidly iterate on creative concepts based on performance data insights, team feedback, and campaign results to drive continuous improvement.

• Actively collaborate with copywriters and marketing teams to ensure visual storytelling effectively aligns with campaign messaging and funnel strategy.

• Maintain exceptionally high standards of visual realism, paying close attention to lighting, composition, anatomy, and texture accuracy.

• Proactively identify and resolve common issues associated with AI-generated visuals, such as artifacts, distortions, or inconsistencies.

• Work within structured production workflows, ensuring clear documentation of tasks within project management tools.

📝 Enhancement Note: The responsibilities highlight a structured production and optimization process, typical of operations roles. The focus on A/B testing, iteration based on performance data, and workflow management are key operational indicators.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Fine Arts, Marketing, or a related field is preferred, though equivalent practical experience will be strongly considered.

Experience:

• 2+ years of experience in design, visual content creation, or performance-focused digital marketing.

Required Skills:

• Advanced proficiency in AI image generation tools (e.g., Midjourney, Runway) for creating high-fidelity visuals.

• Strong command of design software including Figma and Adobe Creative Suite (Photoshop, Illustrator), with the ability to seamlessly integrate AI outputs into traditional design workflows.

• Excellent visual design principles, encompassing composition, lighting, color theory, typography, photorealism, and human anatomy.

• Proven ability to produce high-quality, photorealistic marketing visuals specifically tailored for conversion-driven campaigns.

• Solid understanding of performance marketing fundamentals, including Click-Through Rate (CTR), hooks, funnel stages, and conversion optimization principles.

• Demonstrated ability to iterate quickly and effectively based on performance feedback, data insights, and creative testing outcomes.

• Exceptional attention to detail, with a keen focus on visual quality, accuracy, and consistency.

• Proactive problem-solving skills with the ability to independently suggest improvements and innovative creative solutions.

• Strong communication and collaboration capabilities, essential for working effectively in cross-functional teams.

Preferred Skills:

• Familiarity with video production workflows or experience in high-Cost Per Acquisition (CPA) verticals.

• Experience with AI video generation tools.

• Basic understanding of user experience (UX) principles as they relate to visual design in marketing.

📝 Enhancement Note: The requirement for AI tool proficiency, integration with traditional design software, and a strong understanding of performance marketing principles are critical for this role, indicating a need for operational efficiency in creative production.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A robust portfolio showcasing a minimum of 2 years of design experience, with a significant emphasis on AI-generated creative work.

• Specific examples demonstrating the creation of high-quality, photorealistic visuals for performance marketing or conversion-driven campaigns.

• Case studies or examples detailing the iterative process of developing creative variations for A/B testing and optimization.

• Evidence of integrating AI-generated assets within broader design workflows, potentially using tools like Figma or Adobe Creative Suite.

Process Documentation:

• Examples of how your work process supports structured production workflows and clear task documentation within project management tools.

• Demonstrations of how you incorporate performance data and feedback into your creative iteration process.

• Visuals that show problem-solving for common AI-generated visual issues, indicating a systematic approach to quality control.

📝 Enhancement Note: A portfolio is critical for this role, not just for showcasing aesthetic skill but for demonstrating a systematic, data-informed, and efficient approach to creative production that aligns with operational best practices.

💵 Compensation & Benefits

Salary Range:

Based on experience level, location (United Kingdom), and the specialized nature of AI design combined with performance marketing, a competitive salary range for an AI Creative Designer with 2-5 years of experience in the UK would typically fall between £40,000 and £60,000 per annum. This estimate is derived from industry benchmarks for creative roles, augmented by specialist AI skills and performance marketing focus, considering the UK market and remote work flexibility.

Benefits:

• Fully remote work environment with the flexibility to work from anywhere in Europe.

• Generous paid vacation policy to support rest and work-life balance.

• Unlimited sick days for health and recovery needs.

• Learning and development support, including access to books, workshops, and conferences.

• Home office setup support, covering equipment and furniture expenses.

• Health insurance coverage and wellness/fitness allowances.

• Dynamic and creative work environment that encourages continuous experimentation.

• Opportunity to work with cutting-edge AI tools in a high-impact marketing context.

• Collaborative, international team culture focused on innovation and growth.

Working Hours: 40 hours per week, with flexibility inherent in a remote, European-based role.

📝 Enhancement Note: The salary range is an estimate based on typical UK market rates for mid-level design roles with specialized AI skills and a performance marketing focus, adjusted for a remote, European context.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company likely operates in a sector that heavily relies on digital customer acquisition and performance marketing, such as e-commerce, SaaS, gaming, or lead generation. The use of AI for creative asset generation suggests a forward-thinking, data-driven organization.

Company Size: While not explicitly stated, the structure of posting through Jobgether and the emphasis on a dynamic, international team suggest a growing mid-sized to large company or a well-funded startup that can afford specialized roles and benefits.

Founded: The founding date is not provided, but the adoption of cutting-edge AI tools implies a company that is either relatively new and built around these technologies or an established entity that is actively innovating and adapting to market trends.

Team Structure:

• The creative team is likely integrated within a larger marketing department, potentially reporting to a Head of Marketing, Performance Marketing Manager, or Creative Director.

• This role will collaborate closely with performance marketers, copywriters, campaign managers, and potentially data analysts.

Methodology:

• Data-informed creative development: Utilizing performance data (CTR, conversion rates) to guide creative iterations and optimization.

• Agile creative production: Rapid generation of variations and quick adaptation to feedback and results.

• AI-centric workflows: Leveraging generative AI tools as a primary method for asset creation and enhancement.

• Performance-driven culture: A strong focus on measurable outcomes and the direct impact of creative assets on business objectives.

Company Website: [Jobgether partner company website information would be inserted here if available]

📝 Enhancement Note: The company culture is likely to be fast-paced, innovative, and results-oriented, with a strong emphasis on leveraging technology and data to achieve marketing objectives.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-level, requiring specialized technical and creative skills with a minimum of 2 years of relevant experience. It's not entry-level but offers a path towards senior creative roles or specialized AI art direction within marketing operations.

Reporting Structure: Typically, this role would report to a Creative Lead, Marketing Manager, or Head of Performance Marketing, forming a key part of the marketing execution engine.

Operations Impact: The AI Creative Designer has a direct and measurable impact on revenue by creating assets that drive customer acquisition, improve conversion rates, and enable effective A/B testing at scale. Their work directly influences campaign ROI and customer lifetime value.

Growth Opportunities:

• Senior AI Creative Designer/Art Director: Progress to leading creative projects, mentoring junior designers, and shaping the visual strategy for larger campaigns.

• Specialization in AI Tools: Become an expert in emerging AI creative technologies, potentially advising on tool adoption and workflow development.

• Performance Marketing Strategy: Develop a deeper understanding of marketing funnels and strategies, enabling more impactful creative contributions.

• Cross-functional Moves: Potential to move into broader Marketing Operations roles, leveraging creative production expertise to optimize marketing technology stacks and processes.

📝 Enhancement Note: The growth path emphasizes specialization in AI creative tools and strategic marketing contributions, aligning with the evolving landscape of marketing operations.

🌐 Work Environment

Office Type: This is a fully remote position, offering significant flexibility. While there isn't a physical office, the "environment" is digital and collaborative.

Office Location(s): The role is based in the United Kingdom, but with the flexibility to work from anywhere in Europe. This implies adherence to European time zones for collaboration.

Workspace Context:

• The primary workspace is a digital environment, reliant on reliable internet, powerful computing resources for design software, and effective communication tools.

• Collaboration will primarily occur through video conferencing, project management software, and instant messaging platforms.

• Access to cutting-edge AI tools and design software is essential and assumed to be provided or supported.

• The work requires a high degree of autonomy and self-discipline to manage tasks and deadlines effectively in a remote setting.

Work Schedule: A standard 40-hour work week is expected, but the remote nature and European location offer flexibility in scheduling daily tasks, provided collaboration windows are met.

📝 Enhancement Note: The remote environment necessitates strong self-management skills and proficiency with digital collaboration tools, which are becoming standard in operations roles.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application and resume, with a strong emphasis on AI tool experience and portfolio. Jobgether's AI matching system will likely perform an initial assessment.

• Portfolio Review: A dedicated session where you will present your portfolio, explaining your process, the tools used, and the impact of your creative work, especially in driving performance. Be prepared to discuss specific AI generation techniques and problem-solving.

• Skills Assessment/Creative Challenge: You may be asked to complete a practical design challenge involving AI generation, or a case study demonstrating how you would approach a specific campaign creative problem. This will test your technical skills, creativity, and understanding of performance marketing.

• Cross-functional Interviews: Interviews with marketing managers, copywriters, and potentially other team members to assess collaboration skills, understanding of marketing strategy, and cultural fit.

• Final Interview: With a hiring manager or senior leader to discuss overall fit, career aspirations, and confirm details.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 strong projects that best showcase your AI generation skills, your ability to create photorealistic and conversion-focused visuals, and your understanding of performance marketing.

• Showcase the Process: For each project, detail the brief, the AI tools used, your prompt engineering process, any manual enhancements, and how the visuals were optimized for specific campaign goals (e.g., CTR, conversion).

• Quantify Impact: If possible, include metrics or performance data (even hypothetical if real data is confidential) to demonstrate the effectiveness of your creative work.

• Highlight Problem-Solving: Discuss challenges encountered (e.g., AI artifacts, brand consistency) and how you overcame them.

• Tailor to the Role: Emphasize examples that align with performance marketing, A/B testing, and driving conversions.

Challenge Preparation:

• Practice using AI image generation tools to create diverse assets quickly, focusing on realism and specific campaign objectives.

• Familiarize yourself with common performance marketing terminology and concepts (CTR, funnels, optimization).

• Prepare to articulate your creative process and decision-making rationale clearly and concisely.

• Understand how to present your work effectively, focusing on the "why" behind your creative choices and their expected impact.

📝 Enhancement Note: The emphasis on portfolio review and practical challenges highlights the operational nature of this role, requiring demonstrable skills and a process-oriented approach to creative production.

🛠 Tools & Technology Stack

Primary Tools:

• AI Image Generators: Midjourney, Runway, Freepik, Higgsfield, and similar platforms are essential. Proficiency in prompt engineering and understanding their unique capabilities is key.

• Design & Editing Software: Figma (for integration, prototyping, and general design), Adobe Creative Suite (Photoshop for retouching and extending AI outputs, Illustrator for vector work).

• Project Management Tools: Tools like Asana, Trello, Jira, or similar platforms for task tracking, workflow management, and documentation.

Analytics & Reporting:

• Familiarity with performance marketing analytics platforms (e.g., Google Analytics, Meta Ads Manager, ad platform-specific dashboards) to understand campaign data and inform creative iteration.

CRM & Automation:

• While not a primary CRM role, understanding how creative assets are deployed within marketing automation platforms or ad tech stacks might be beneficial.

📝 Enhancement Note: Proficiency in AI image generation tools, coupled with traditional design software and project management tools, is critical for the operational efficiency of this role.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore and utilize new AI technologies and creative approaches.

• Data-Driven Decision Making: Valuing performance metrics and data insights as the primary drivers for creative iteration and optimization.

• Efficiency & Scalability: A focus on creating processes and assets that can be scaled effectively for large-volume campaigns.

• Collaboration & Communication: Openness to feedback, teamwork, and clear communication across cross-functional teams.

• Quality & Realism: A commitment to producing visually high-quality, photorealistic assets that meet brand and product standards.

Collaboration Style:

• Proactive & Integrated: Actively participating in campaign planning and strategy discussions, not just as an executor but as a creative partner.

• Feedback-Oriented: Welcoming constructive criticism and using it to refine creative output.

• Transparent Communication: Clearly articulating creative choices, challenges, and progress to team members.

• Agile & Responsive: Adapting quickly to changing campaign needs and performance feedback.

📝 Enhancement Note: The emphasis on innovation, data, efficiency, and collaboration points to a culture that values operational excellence in creative production.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with new AI tools, features, and best practices requires continuous learning.

• Maintaining Brand Consistency: Ensuring AI-generated visuals align perfectly with established brand guidelines and product details can be challenging.

• Achieving High Levels of Realism: Consistently producing photorealistic imagery that avoids common AI artifacts and inaccuracies.

• Translating Data into Creative Action: Effectively interpreting performance data and translating those insights into actionable creative improvements.

• Balancing Speed and Quality: Generating numerous creative variations quickly without sacrificing visual fidelity or strategic alignment.

Learning & Development Opportunities:

• AI Tool Specialization: Deep dive into advanced prompt engineering, AI model fine-tuning, and emerging AI creative technologies.

• Performance Marketing Acumen: Develop a more profound understanding of marketing funnels, customer psychology, and data analysis for campaign optimization.

• Advanced Design Techniques: Master advanced retouching, compositing, and workflow automation within Adobe Creative Suite and Figma.

• Cross-functional Exposure: Gain insights into broader marketing operations, campaign management, and data analytics strategies.

• Industry Conferences & Certifications: Opportunities to attend workshops and training sessions focused on AI, digital marketing, and creative technologies.

📝 Enhancement Note: The challenges and growth opportunities are directly tied to the dynamic nature of AI and performance marketing, requiring continuous adaptation and skill development, which is characteristic of operational roles in fast-moving industries.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for creating AI-generated visuals for a performance marketing campaign. How do you ensure realism and conversion-focus?" (Preparation: Outline your workflow from brief to final asset, emphasizing AI tool usage, prompt engineering, and optimization steps.)

• "How do you balance rapid creative iteration with maintaining brand consistency and high visual quality?" (Preparation: Discuss strategies for managing multiple variations, using brand kits, and quality control checkpoints.)

Company & Culture Questions:

• "Why are you interested in working with AI creative tools in a performance marketing context?" (Preparation: Align your passion for AI with the company's need for data-driven creative solutions.)

• "How do you approach collaboration with marketers and copywriters to ensure your visuals effectively support their messaging?" (Preparation: Emphasize your communication skills and understanding of integrated campaign development.)

Portfolio Presentation Strategy:

• Start with Impact: Begin with your strongest, most relevant projects that clearly demonstrate AI generation and performance marketing success.

• Tell a Story: For each project, explain the problem, your solution (creative process, tools used), and the results (metrics, learnings).

• Show, Don't Just Tell: Use visuals effectively to illustrate your points. For AI work, this might include showing variations or before/after enhancements.

• Be Prepared for Technical Deep Dives: Be ready to answer specific questions about your prompt engineering techniques, tool capabilities, and any challenges you faced.

• Connect to the Role: Continuously link your portfolio examples back to the requirements and goals of this specific AI Creative Designer position.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical application of AI tools, understanding of marketing operations, data-driven decision-making, and strong collaborative skills.

📌 Application Steps

To apply for this operations position:

• Submit your application through the application link provided by Jobgether.

• Portfolio Customization: Tailor your resume and cover letter to highlight your experience with AI image generation tools (Midjourney, Runway, etc.), design software (Figma, Adobe Suite), and performance marketing principles. Ensure your portfolio is readily accessible and showcases relevant projects.

• Resume Optimization: Use keywords from the job description such as "AI Image Generation," "Performance Marketing," "Conversion Optimization," "Figma," "Adobe Creative Suite," and "Photorealistic Imagery." Quantify your achievements wherever possible.

• Interview Preparation: Practice explaining your creative process, your approach to data-driven iteration, and how you ensure the quality and realism of AI-generated assets. Be ready to discuss your portfolio in detail.

• Company Research: Understand Jobgether's role as a platform and research the likely industry of the partner company to better tailor your application and interview responses to their specific needs and operational context.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.