AI Creative Designer

📍 Job Overview

Job Title: AI Creative Designer

Company: Jobgether (on behalf of a partner company)

Location: Germany

Job Type: Full-time

Category: Creative Operations / Marketing Operations

Date Posted: 2026-05-15

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

Remote Status: Fully Remote (within Europe)

🚀 Role Summary

• Design and produce high-impact, AI-generated visual assets for large-scale customer acquisition campaigns across global digital channels.

• Transform creative briefs and ideas into photorealistic visuals, lifestyle imagery, and high-impact creative variations optimized for performance testing.

• Collaborate closely with marketing, copywriting, and media teams to ensure visual alignment with messaging, funnel strategy, and business objectives.

• Leverage cutting-edge generative AI tools to drive campaign performance and directly influence conversion rates.

• Combine strong visual craft with a performance mindset and a passion for emerging creative technologies.

📝 Enhancement Note: While the title is "AI Creative Designer," the responsibilities and requirements clearly indicate a strong emphasis on performance marketing and conversion optimization. This role bridges the gap between creative asset generation and measurable marketing outcomes, positioning it within the broader scope of Marketing Operations or Creative Operations with a performance focus. The "Germany" location is likely a broad guideline for legal or tax purposes, with the actual work being fully remote within Europe.

📈 Primary Responsibilities

• Create high-quality AI-generated visuals specifically for performance marketing campaigns targeting paid channels such as social media, search engines, and landing pages.

• Produce photorealistic imagery, lifestyle scenes, and product-focused visuals meticulously optimized for conversion-driven advertising and user acquisition efforts.

• Enhance, retouch, and extend existing source materials, including those from photo shoots, by effectively utilizing AI tools and advanced creative workflows.

• Develop a diverse range of creative variations to robustly support A/B testing strategies, continuous optimization efforts, and campaign scaling initiatives.

• Ensure strict adherence to brand guidelines, product specifications, and overarching campaign requirements across all generated and delivered assets.

• Iterate rapidly on creative concepts based on performance data analysis, direct feedback from stakeholders, and measurable campaign results.

• Collaborate effectively with copywriters and marketing specialists to ensure visual storytelling seamlessly aligns with core messaging and the intended funnel strategy.

• Maintain exceptionally high standards of realism in AI outputs, focusing on accuracy in lighting, composition, human anatomy, and textures to enhance authenticity.

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

• Work efficiently within structured production workflows, ensuring clear documentation of tasks and progress in designated project management tools.

📝 Enhancement Note: The responsibilities emphasize a data-driven approach to creative asset production, a hallmark of effective marketing operations. The focus on iteration, A/B testing, and performance data indicates a role that is not just about aesthetics but about driving measurable business results through creative output.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating relevant skills and experience is paramount. A background in Graphic Design, Digital Media, Marketing, or a related field is beneficial.

Experience: 2+ years of experience in design, visual content creation, or performance-focused digital marketing. At least 1 year of hands-on experience with AI image generation tools is critical.

Required Skills:

• Proficiency in AI image generation tools such as Midjourney, Runway, Freepik, Figma Weave, Higgsfield, or similar platforms (minimum 1 year hands-on experience).

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

• Excellent visual design skills encompassing composition, lighting, color theory, typography, realism, and human anatomy.

• Demonstrated ability to produce high-quality, photorealistic marketing visuals tailored specifically for conversion-driven campaigns and user acquisition.

• Solid understanding of performance marketing principles, including Click-Through Rate (CTR), hook strategies, funnel dynamics, and conversion optimization techniques.

• High attention to detail with an unwavering focus on visual quality, consistency, and brand alignment.

• Proactive and independent problem-solving approach, with the ability to suggest improvements and creative solutions.

• Strong communication and collaboration skills, essential for effective work within cross-functional teams.

Preferred Skills:

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

• Experience with project management tools for workflow tracking and documentation.

• Understanding of SEO principles as they relate to visual content.

📝 Enhancement Note: The requirement for AI tool experience and performance marketing knowledge is highly specific. Candidates should be prepared to demonstrate practical application of these skills, not just theoretical understanding. The B2 English level suggests the company operates with an international team where English is the primary business language.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

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

• Direct examples of AI-generated visuals used in performance marketing campaigns, highlighting their role in driving conversions or engagement metrics.

• Case studies demonstrating the application of AI tools to enhance, retouch, or extend existing visual assets, detailing the workflow and improvements.

• Visuals that clearly illustrate a strong understanding of composition, lighting, color theory, typography, realism, and human anatomy.

Process Documentation:

• Showcase examples of how you've documented your creative process and tasks within project management tools (e.g., Asana, Trello, Jira) for workflow transparency.

• Evidence of iterating on creative concepts based on performance data and feedback, demonstrating a structured approach to optimization.

• Examples of how you ensure consistency with brand guidelines and campaign requirements throughout your design process.

📝 Enhancement Note: For operations-focused roles like this, a portfolio is not just a collection of work but a demonstration of process, impact, and problem-solving. Candidates should highlight how they apply structured workflows, data analysis, and iteration to achieve measurable marketing objectives through their creative output.

💵 Compensation & Benefits

Salary Range: Based on the mid-level experience requirement (2-5 years), the fully remote nature within Europe, and the specialized AI/performance marketing skill set, a competitive salary range for an AI Creative Designer in Germany (or for a remote role targeting European talent) would typically fall between €45,000 - €65,000 annually. This estimate is derived from market data for similar design and marketing operations roles in Western Europe, adjusted for remote work flexibility and the specific AI skill premium.

Benefits:

• Fully Remote Work: Flexibility to work from anywhere within Europe, promoting work-life balance and geographical freedom.

• Generous Paid Vacation: Ample paid time off to ensure rest and prevent burnout, supporting long-term employee well-being.

• Unlimited Sick Days: Comprehensive support for health and recovery needs, allowing employees to take necessary time off without concern.

• Learning and Development Support: Investment in professional growth through resources like books, workshops, and conference attendance, fostering continuous skill enhancement.

• Home Office Setup Support: Financial assistance for essential equipment and furniture to create a productive and ergonomic remote workspace.

• Health Insurance and Wellness Allowances: Coverage for health needs and additional allowances for fitness and wellness activities to promote overall health.

• Dynamic and Creative Work Environment: Exposure to continuous experimentation and innovation in a stimulating professional setting.

• Opportunity to Work with Cutting-Edge AI Tools: Hands-on experience with the latest generative AI technologies in a high-impact marketing context.

• Collaborative, International Team Culture: Integration into a diverse team focused on innovation, growth, and shared success.

Working Hours: The role is full-time, typically aligning with standard European business hours (e.g., 40 hours per week). While fully remote, there might be an expectation for core collaboration hours to facilitate real-time communication with team members across different European time zones.

📝 Enhancement Note: The salary estimate is a benchmark. Actual compensation will depend on the candidate's specific experience, the partner company's budget, and their location within Europe. The benefits package is quite robust, reflecting a modern, remote-first employer focused on employee well-being and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the digital marketing, advertising technology, or e-commerce sectors, leveraging AI for customer acquisition and campaign optimization. This industry is characterized by rapid technological advancement, data-driven decision-making, and a focus on measurable ROI.

Company Size: While not explicitly stated, the mention of "large-scale customer acquisition campaigns across global digital channels" and a structured application process through Jobgether suggests a company that is either a growing mid-sized enterprise or a well-funded startup with significant operational capacity and marketing spend. The need for specialized roles like an AI Creative Designer points to a company prioritizing innovation and efficiency.

Founded: Information not provided. However, the focus on cutting-edge AI and performance marketing implies a relatively modern company or a forward-thinking established entity.

Team Structure:

• The AI Creative Designer will likely be part of a broader Marketing or Creative team. This team may include Performance Marketers, Media Buyers, Copywriters, other Designers (potentially more traditional), and Marketing Operations specialists.

• Reporting structure is expected to be to a Marketing Manager, Creative Lead, or Head of Performance Marketing, who oversees campaign asset creation and performance.

Methodology:

• Data analysis and insights are central, with creative iterations driven by A/B testing results and campaign performance metrics (e.g., CTR, conversion rates).

• Workflow planning and optimization strategies are applied to the creative production process, ensuring efficiency and scalability.

• Automation and efficiency practices are leveraged through AI tools to accelerate asset generation and variation development.

Company Website: Jobgether: https://www.jobgether.com/ (Note: This is Jobgether's site, not the partner company's. The partner company's website is not provided.)

📝 Enhancement Note: The emphasis on "performance-driven" and "data-informed" suggests a culture that values quantifiable results over purely aesthetic output. This is common in successful performance marketing operations.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level "AI Creative Designer." It requires specialized skills in AI tools and a strong understanding of performance marketing principles, bridging creative design with measurable business impact. It's not a junior role but also not yet a senior strategic position requiring extensive team management.

Reporting Structure: The role reports into a marketing leadership position (e.g., Marketing Manager, Creative Lead) that focuses on campaign execution and optimization. Collaboration will be frequent with peers in copywriting and media buying.

Operations Impact: The AI Creative Designer's work directly influences the effectiveness of customer acquisition campaigns. By producing high-converting visual assets and supporting rigorous A/B testing, this role has a tangible impact on key performance indicators such as Cost Per Acquisition (CPA), Return On Ad Spend (ROAS), and overall user growth.

Growth Opportunities:

• Specialization: Deepen expertise in advanced AI creative tools, explore emerging AI technologies, and become a go-to expert for AI-driven visual content.

• Performance Marketing Acumen: Develop a more profound understanding of marketing funnels, conversion rate optimization (CRO), and data analysis, potentially transitioning towards a Performance Marketing Specialist or CRO Manager role.

• Creative Leadership: Progress into a Senior AI Creative Designer or Creative Lead role, guiding junior designers, setting creative direction for AI assets, and contributing more strategically to campaign planning.

• Cross-functional Transition: With a strong grasp of marketing principles, potential exists to move into roles like Marketing Operations Specialist, focusing on the integration of creative assets with marketing technology stacks and campaign management.

📝 Enhancement Note: The growth paths highlight the potential for this role to evolve into more strategic marketing or operations functions, leveraging the unique blend of creative and analytical skills acquired.

🌐 Work Environment

Office Type: This role is strictly fully remote, offering a "work from anywhere in Europe" model. This indicates a modern, distributed work environment that prioritizes flexibility and employee autonomy.

Office Location(s): There are no physical office locations mentioned for this specific role. The operational base for the partner company might be in Germany, but the team is geographically dispersed across Europe.

Workspace Context:

• Collaborative Environment: While remote, the company culture emphasizes collaboration through digital tools. Expect regular video calls, chat-based communication, and shared digital workspaces.

• Operations Tools & Technology: Access to essential design software (Figma, Adobe Suite) and advanced AI creative platforms will be provided or supported. Project management tools will be crucial for task tracking and team coordination.

• Team Interaction: Opportunities for interaction will be through scheduled team meetings, project-specific discussions, and informal virtual "water cooler" moments facilitated by the company.

Work Schedule: Standard full-time hours (approx. 40 per week) are expected. While remote, candidates should be prepared to align with core European business hours for effective collaboration with colleagues and stakeholders. Flexibility is a key benefit, but reliable availability during key working periods will be necessary.

📝 Enhancement Note: The remote-first approach requires strong self-discipline and proactive communication from the employee. Candidates should be comfortable managing their own time and workload without direct physical supervision.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely conducted by Jobgether's AI matching system, followed by a review from a Jobgether recruiter to assess basic qualifications and fit.

• Portfolio Review: Candidates will be asked to submit a portfolio. This stage is critical for assessing design skills, AI tool proficiency, and understanding of performance marketing principles. Expect specific evaluation criteria related to realism, conversion focus, and creative variation.

• Hiring Manager Interview: A conversation with the hiring manager (from the partner company) to delve deeper into experience, problem-solving abilities, and cultural fit. You may be asked behavioral questions related to collaboration, iteration, and handling feedback.

• Creative/Technical Assessment: A potential practical exercise or case study where you might be asked to create a specific asset, critique existing creative, or outline a strategy for generating variations for a given campaign. This will assess your application of AI tools and performance marketing knowledge.

• Final Interview: Potentially with a senior leader or HR to finalize terms and discuss company culture.

Portfolio Review Tips:

• Highlight AI & Performance: Ensure your portfolio clearly showcases your AI-generated work and, more importantly, its impact on performance metrics (e.g., "This ad variation increased CTR by X%").

• Demonstrate Process: Include examples of your workflow, how you iterate based on data, and how you manage variations for A/B testing. Use case studies to tell the story of a project from brief to results.

• Showcase Realism: Emphasize your ability to create photorealistic visuals that align with brand and product accuracy. Include examples that demonstrate mastery of lighting, composition, and detail.

• Tailor to Role: Select pieces that best align with the job description's emphasis on performance marketing, user acquisition, and conversion optimization.

• Structure for Clarity: Organize your portfolio logically, perhaps by campaign, tool, or skill. Provide concise descriptions for each piece, explaining your role, the tools used, and the outcome.

Challenge Preparation:

• AI Tool Proficiency: Be ready to discuss your favorite AI tools, their capabilities, and limitations. Practice generating specific types of assets quickly.

• Performance Marketing Fundamentals: Review key metrics (CTR, CPA, ROAS, Conversion Rate) and common campaign strategies. Understand how creative directly impacts these metrics.

• Problem-Solving Scenarios: Prepare to discuss how you would approach common creative challenges, such as generating diverse variations, maintaining brand consistency with AI, or improving low-performing assets.

• Collaboration & Feedback: Think about how you handle feedback from marketers and how you collaborate with copywriters to ensure messaging and visuals are aligned.

📝 Enhancement Note: The interview process is designed to assess not just creative talent but also operational efficiency and the ability to deliver measurable results. A strong portfolio that demonstrates this duality is key.

🛠 Tools & Technology Stack

Primary Tools:

• AI Image Generation: Midjourney, Runway, Freepik, Figma Weave, Higgsfield, or similar advanced generative AI platforms. Proficiency here is non-negotiable.

• Design Software: Figma (highly specified), Adobe Creative Suite (Photoshop, Illustrator). Essential for integrating AI outputs, retouching, and final asset preparation.

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

Analytics & Reporting:

• Performance Marketing Platforms: Familiarity with platforms where these assets will be used and their associated analytics (e.g., Facebook Ads Manager, Google Ads, TikTok Ads Manager) is beneficial for understanding campaign context.

• Data Analysis Tools: While not directly required for design, an understanding of how to interpret performance data from these platforms (e.g., Google Analytics, platform-specific dashboards) will inform creative iteration.

CRM & Automation:

• Familiarity with CRM systems (e.g., Salesforce, HubSpot) and marketing automation platforms is a plus, as it provides context for how creative assets fit into the broader customer journey and sales funnel.

📝 Enhancement Note: The emphasis on Figma and specific AI tools indicates a modern, agile creative workflow. Proficiency in these, coupled with an understanding of how assets perform in ad platforms, is crucial.

👥 Team Culture & Values

Operations Values:

• Performance-Oriented: A strong focus on achieving measurable results and driving campaign success through data-informed creative decisions.

• Innovative & Experimental: Encouragement to explore and utilize cutting-edge AI technologies, experiment with new creative approaches, and push boundaries.

• Collaborative & Communicative: A culture that values teamwork, open communication, and effective cross-functional partnerships to achieve common goals.

• Detail-Focused & Quality-Driven: Commitment to high standards of visual realism, brand consistency, and overall asset quality.

• Agile & Iterative: A mindset that embraces rapid iteration, learning from feedback, and adapting quickly to campaign performance and market changes.

Collaboration Style:

• Digital-First: Collaboration relies heavily on digital communication tools, shared project management platforms, and scheduled virtual meetings.

• Cross-functional Integration: Close working relationships with marketing strategists and copywriters are essential to ensure a cohesive campaign message and visual identity.

• Feedback-Driven: An open culture for giving and receiving constructive feedback on creative work, with an emphasis on using this feedback for continuous improvement.

• Knowledge Sharing: Encouragement to share learnings about AI tools, creative techniques, and performance insights within the team to foster collective growth.

📝 Enhancement Note: The culture appears to be a blend of creative exploration and disciplined execution, driven by performance metrics. This is typical of successful performance marketing teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements and new capabilities in generative AI tools requires continuous learning and adaptation.

• Maintaining Realism and Brand Consistency: Ensuring AI-generated visuals meet high standards of realism and consistently align with brand guidelines can be challenging, especially with complex prompts or specific product details.

• Translating Data into Creative Action: Effectively interpreting performance data and translating those insights into actionable creative variations requires a strong analytical and strategic mindset.

• Balancing Speed and Quality: The demand for high-volume creative variations for A/B testing requires efficient workflows without compromising visual quality or accuracy.

Learning & Development Opportunities:

• AI Tool Mastery: Opportunities to become an expert in a variety of AI creative platforms, potentially leading to specialized roles or training others.

• Performance Marketing Strategy: Gaining deep insights into how creative assets impact campaign performance, potentially leading to career paths in performance marketing or CRO.

• Cross-functional Skill Development: Exposure to marketing strategy, copywriting, and media buying provides a holistic understanding of digital campaign execution.

• Industry Trends: Staying ahead of the curve in both AI technology and digital marketing best practices through company-supported learning initiatives.

📝 Enhancement Note: The challenges presented are inherent to working with cutting-edge technology and performance-driven marketing. The growth opportunities are designed to help candidates overcome these challenges and advance their careers.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI to significantly improve the performance of a marketing campaign. What was your process, and what were the results?" (Prepare a case study with specific metrics.)

• "How do you ensure brand consistency and photorealism when using generative AI tools for diverse assets?" (Be ready to discuss prompt engineering techniques, iterative refinement, and post-processing.)

Company & Culture Questions:

• "What interests you about working with AI in a performance marketing context, and why Jobgether's partner company specifically?" (Research the partner company if possible, or speak generally about the exciting intersection of AI and marketing.)

• "How do you handle constructive criticism or feedback on your creative work from marketing or media teams?" (Highlight your collaborative spirit and focus on achieving campaign goals.)

Portfolio Presentation Strategy:

• Storytelling with Data: For each portfolio piece, don't just show the image; tell the story of its creation, the problem it solved, the AI tools used, and its measurable impact on campaign goals.

• Focus on Process: Clearly articulate your workflow, especially how you iterate and optimize based on performance data and feedback.

• Highlight AI Integration: Emphasize your proficiency with specific AI tools and how they were integral to the creative process and outcomes.

• Showcase Variation & Testing: Present examples of creative variations you developed for A/B testing, explaining the strategic rationale behind each.

• Be Prepared for Live Demos: If possible, have a live demonstration of your AI tool workflow ready, or be prepared to screen-share your process during the interview.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of creative talent, technical AI proficiency, and a results-oriented mindset aligned with performance marketing objectives.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on jobs.lever.co.

• Portfolio Customization: Curate your portfolio to prominently feature AI-generated creative work with a clear emphasis on performance marketing applications and measurable results. Include case studies that detail your process, tools used, and impact.

• Resume Optimization: Tailor your resume to highlight experience with AI image generation tools (Midjourney, Runway, etc.), design software (Figma, Adobe Suite), and performance marketing concepts (CTR, conversion optimization). Quantify achievements wherever possible.

• Interview Preparation: Practice articulating your creative process, AI tool usage, and understanding of performance metrics. Prepare to discuss case studies from your portfolio and how you handle feedback and iteration.

• Company Research: While specific details on the partner company are limited, research Jobgether's mission and how they use AI in their matching process. Understand the general landscape of AI in creative marketing and performance advertising.

⚠️ 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.