AI Graphic Designer - Performance Ads at Jobgether

📍 Job Overview

Job Title: AI Graphic Designer - Performance Ads

Company: Jobgether (Partner Company)

Location: Germany

Job Type: Full-time

Category: Creative Operations / Performance Marketing Creative

Date Posted: August 13, 2026

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

Remote Status: Remote OK (Europe-wide)

🚀 Role Summary

Drive significant impact on consumer brand growth through the creation of high-volume, high-converting static ad creatives for performance advertising campaigns.
Leverage a hybrid workflow integrating traditional graphic design expertise with cutting-edge AI image-generation tools to accelerate creative production and experimentation.
Collaborate closely with Creative Strategy and Performance Marketing teams to translate creative briefs into impactful visual concepts and multiple ad variations for paid social platforms.
Continuously iterate and optimize creative assets based on rigorous A/B testing, campaign performance metrics (CTR, CPA, ROAS), and stakeholder feedback to maximize direct-response advertising effectiveness.
Own and manage the static ad production workflow, ensuring consistent, high-quality output with minimal day-to-day oversight, acting as a reliable source for test-ready creatives.

📝 Enhancement Note: This role is positioned as a specialized "AI Graphic Designer" with a strong emphasis on "Performance Ads." This indicates a need for a hybrid skillset combining artistic design capabilities with a deep understanding of direct-response marketing principles and AI-driven creative workflows. The focus on "high-volume" and "testing" suggests a fast-paced, data-informed production environment, typical of growth-stage DTC or e-commerce companies.

📈 Primary Responsibilities

Design and produce a high volume of static advertising creatives specifically for Meta and other paid social platforms, with a primary focus on driving measurable campaign performance.
Translate complex creative briefs into diverse visual directions, compelling concepts, attention-grabbing hooks, and multiple effective ad variations for A/B testing.
Deliver a consistent weekly output of polished, test-ready creatives that meet stringent quality and performance standards.
Integrate AI image-generation tools (e.g., Midjourney, FLUX, Firefly) as a core component of the creative production workflow to enhance efficiency and expand creative possibilities.
Elevate AI-generated imagery through expert application of typography, composition, retouching, advanced image editing, and precise layout design to achieve a professional, polished look.
Strategically adapt and repurpose successful creative concepts into new formats, targeting different audiences, exploring alternative visual treatments, and refining messaging angles to maintain campaign freshness and effectiveness.
Foster close collaboration with the Senior Creative Strategist and Performance Marketing team to ensure creative concepts are effectively executed and aligned with campaign objectives.
Proactively iterate and refine creative assets based on ongoing campaign performance data, A/B testing outcomes, and constructive feedback from campaign managers and stakeholders.
Establish and maintain an efficient, organized, and repeatable creative production workflow to ensure scalability and consistency in output.
Assume complete ownership of static ad production, functioning as a dependable resource for high-quality creative output with a high degree of autonomy.

📝 Enhancement Note: The responsibilities clearly outline a production-focused role. The emphasis on "high volume," "multiple variations," and "iterating based on campaign performance" points to a need for efficiency and a data-driven approach to design. The specific mention of AI tools and traditional design refinement highlights a modern, hybrid skill set.

🎓 Skills & Qualifications

Education:

While no specific degree is mandated, a strong foundation in graphic design principles, visual communication, or a related field is expected, often demonstrated through a portfolio. Experience:
Minimum of 2-5 years of proven experience in creating static paid-social advertisements, with a strong preference for experience within Direct-to-Consumer (DTC), e-commerce, or fast-moving consumer goods (FMCG) brands.
Demonstrated ability to produce multiple creative variations efficiently and consistently within a high-paced production environment is crucial. Required Skills:
Performance Creative Expertise: Deep understanding of direct-response advertising principles, including the critical role of hooks, visual hierarchy, clear messaging, and scroll-stopping design elements in paid social campaigns.
Professional Design Software Proficiency: Advanced hands-on skills in industry-standard tools such as Figma, Adobe Photoshop, and Adobe Illustrator, or comparable professional design software.
AI Image Generation Application: Practical, commercial experience utilizing AI image-generation tools as an integral part of a creative production workflow.
Visual Judgment & Execution: Excellent visual judgment encompassing typography, composition, hierarchy, product presentation, image editing, and overall creative execution quality.
Brief Interpretation & Design Autonomy: Ability to accurately interpret creative briefs while simultaneously possessing the confidence and skill to make strong, independent design decisions during the execution phase.
Adaptability & Iteration: Comfort and proficiency in working within a dynamic environment characterized by continuous creative production, testing, and iterative refinement.

Preferred Skills:

AI Tool Specialization: Experience with specific AI tools such as Higgsfield, Midjourney, FLUX, Nano Banana/Gemini, Adobe Firefly, Krea, or similar platforms.
DTC Category Experience: Prior experience creating advertising for beauty, health, supplements, wellness, apparel, or other relevant DTC consumer categories.
Performance Metrics Familiarity: Understanding of key paid-media performance metrics (e.g., Click-Through Rate (CTR), Cost Per Acquisition (CPA), Return on Ad Spend (ROAS)) and how creative performance data informs design iteration.
High-Scale Brand Experience: Experience working with brands that operate at significant paid-media scale.

📝 Enhancement Note: The requirements emphasize a practical, portfolio-driven approach over formal education. The distinction between required and preferred skills highlights the importance of hands-on experience with both traditional design tools and emerging AI technologies, particularly in the context of performance marketing.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

Performance-Oriented Case Studies: Showcase actual advertising campaigns created, with a focus on how designs contributed to specific performance metrics (e.g., increased CTR, reduced CPA).
Volume & Variation Examples: Include examples demonstrating the ability to produce a high volume of creatives and multiple distinct variations of a single concept for A/B testing.
AI Integration Showcase: Feature projects where AI image generation was utilized, clearly explaining the workflow and how AI outputs were refined through traditional design techniques.
Direct-Response Focus: Prioritize examples that clearly illustrate an understanding of direct-response advertising principles, such as strong calls-to-action, benefit-driven visuals, and clear value propositions.

Process Documentation:

Workflow Design & Optimization: Be prepared to discuss and demonstrate how you approach designing and optimizing creative production workflows for efficiency and scalability, particularly when incorporating AI tools.
AI Tool Integration Methods: Articulate your methods for integrating AI image generation into a design process, including prompt engineering, refinement techniques, and quality control measures.
Performance Feedback Loop: Explain how you establish and utilize feedback loops from campaign performance data to inform subsequent design iterations and creative strategy.

📝 Enhancement Note: For a role focused on performance creatives and AI integration, the portfolio should go beyond aesthetic appeal. It must demonstrate a candidate's ability to produce at scale, adapt to data-driven feedback, and effectively leverage new technologies like AI for measurable business outcomes.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for mid-level Graphic Designers with specialized AI and performance marketing experience in Germany, a competitive annual salary range is estimated between €45,000 and €60,000. This range accounts for the specific skill set (AI proficiency, performance ad focus) and the remote, Europe-wide nature of the role. Benefits:
Full-time Position: Secure employment with a standard full-time contract.
Remote-First Setup: Enjoy the flexibility of a remote work environment, with opportunities for collaboration across Europe.
Cutting-Edge Technology Exposure: Gain hands-on experience at the intersection of professional graphic design, AI image generation, and performance marketing.
Continuous Creative Experimentation: Participate in a high-volume creative environment that encourages continuous experimentation and testing of new visual concepts.
Cross-Functional Collaboration: Work closely with experienced Creative Strategy and Performance Marketing professionals, fostering a collaborative learning environment.
Process Ownership: Benefit from significant ownership over the static ad production process, allowing for direct impact and influence.
Growth in Performance Creative: Develop specialized expertise in performance creative for DTC and e-commerce brands within a fast-paced market.

Working Hours:

Standard full-time hours are expected, likely around 40 hours per week. While remote, maintaining consistent availability during core European business hours for collaboration and meetings will be important.

📝 Enhancement Note: The salary estimate is based on typical mid-level graphic design roles in Germany, adjusted upwards to reflect the specialized AI and performance marketing components, which are in high demand. The benefits listed are directly from the job description and highlight the role's unique aspects.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the broader tech and marketing services sector, likely focusing on AI-driven solutions for advertising and creative production. The role itself is deeply embedded in performance marketing and e-commerce/DTC growth strategies.

Company Size: While Jobgether is a platform, the partner company's size is not specified. However, the "remote-first setup across Europe" and the need for high-volume creative production suggest a dynamic, potentially growth-stage organization that values agility and scalable operations.

Founded: The founding date of the partner company is not provided. However, the emphasis on AI and modern workflows indicates a forward-thinking company likely established or evolved to embrace current technological trends in advertising.

Team Structure:

Operations Focus: The role is within a specialized creative production function, likely part of a larger marketing or creative team.
Reporting: The designer will collaborate closely with a Senior Creative Strategist and the Performance Marketing team, implying a direct reporting line to a creative lead or marketing manager.
Cross-functional Collaboration: Strong emphasis on collaboration with performance marketers and creative strategists, requiring excellent communication and integration with data-driven campaign management.

Methodology:

Data-Driven Creativity: The core methodology involves using performance data (CTR, CPA, ROAS) to inform and iterate on creative design, bridging the gap between art and science.
Agile Production: A high-volume, fast-paced workflow that prioritizes rapid iteration, testing, and optimization, akin to agile development principles applied to creative output.
AI-Assisted Workflow: Embracing and optimizing workflows that leverage AI tools for image generation, accelerating the creative process while maintaining high standards through human refinement.

Company Website: Jobgether Website (Note: This is the platform; the partner company's direct website is not specified.)

📝 Enhancement Note: The context provided focuses on the operational environment for a creative role within performance marketing. The "AI Graphic Designer" title and the emphasis on data-driven iteration suggest a culture that values efficiency, innovation, and measurable results.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Level (2-5 years of experience). It requires established design skills and practical experience, particularly in performance advertising and AI integration. It's a hands-on production role with significant responsibility for output quality and efficiency.

Reporting Structure: The designer will report to a Senior Creative Strategist or a Marketing Manager, working closely with Performance Marketing professionals. This structure allows for direct mentorship in creative strategy and performance analysis while maintaining autonomy in daily production tasks.

Operations Impact: The primary impact of this role is direct and measurable: driving customer acquisition and revenue growth for consumer brands through the creation of effective advertising visuals. Success is tied to campaign performance metrics, making the role highly visible and critical to the client's bottom line.

Growth Opportunities:

Specialization in Performance Creative: Deepen expertise in creating highly effective advertising for DTC and e-commerce, becoming a specialist in what drives conversions.
AI Creative Workflow Mastery: Become a leader in integrating and optimizing AI tools within creative production pipelines, a rapidly evolving and in-demand skill set.
Creative Strategy Collaboration: Progress towards contributing more significantly to creative strategy development by understanding performance insights and translating them into new visual directions.
Exposure to High-Scale Campaigns: Gain experience working with brands operating at significant paid-media scale, offering insights into large-scale marketing operations.

📝 Enhancement Note: The growth path is clearly defined towards specialization in performance creative and AI integration, rather than traditional vertical management. This aligns with the current market demand for specialized operational skills in marketing technology and data-driven creative.

🌐 Work Environment

Office Type: The role is described as "remote-first setup across Europe." This means there is no central physical office requirement, and the work is conducted from the employee's own location.

Office Location(s): While the role is remote, candidates are expected to be based within Europe to align with potential team collaboration and time zones. Specific locations within Germany are mentioned as the primary target, but the "across Europe" benefit suggests flexibility.

Workspace Context:

Autonomous Remote Work: The environment is suited for self-motivated individuals who can manage their time and workspace effectively to meet production targets.
Digital Collaboration Tools: Expect to utilize a suite of digital tools for communication (e.g., Slack, Teams), project management (e.g., Asana, Trello), and design collaboration (e.g., Figma, cloud storage).
Cross-functional Interaction: Regular interaction with creative strategists and performance marketers, requiring strong virtual communication skills and the ability to participate actively in online meetings and feedback sessions.

Work Schedule: The role is full-time, typically around 40 hours per week. Flexibility is inherent in a remote setup, but alignment with core European business hours for collaborative tasks and meetings is essential for effective teamwork.

📝 Enhancement Note: The "remote-first" nature of the role is a key aspect, emphasizing the need for strong self-management and digital communication skills. The focus on Europe suggests potential for timezone coordination challenges, making proactive communication vital.

📄 Application & Portfolio Review Process

Interview Process:

AI-Powered Screening: Initial application review will be conducted by Jobgether's AI system to assess core requirements, followed by a shortlist shared with the partner company.
Portfolio Review: A critical step where candidates will present their portfolio, focusing on performance-driven creatives, AI integration examples, and volume/variation capabilities. Be prepared to discuss specific campaign results and your design process.
Skills Assessment/Creative Challenge: Expect a practical exercise, potentially involving translating a creative brief into ad variations using AI and traditional tools, or a case study analysis of existing creatives.
Team/Hiring Manager Interviews: Discussions to assess cultural fit, collaboration style, understanding of performance marketing, and ability to work autonomously in a remote setting.

Portfolio Review Tips:

Quantify Success: For each portfolio piece, clearly state the objective, your role, the tools used (especially AI), and, most importantly, the quantifiable results (e.g., "Increased CTR by 15%," "Reduced CPA by 10%").
Showcase AI Workflow: Clearly articulate your process for using AI tools. This includes prompt engineering, how you refine AI outputs (retouching, typography, layout), and the benefits gained (speed, variation).
Demonstrate Volume & Iteration: Include examples that show you can produce multiple variations of an ad concept and how you iterated based on feedback or performance data.
Focus on Direct Response: Tailor your presentation to highlight examples that best demonstrate your understanding of direct-response advertising principles.

Challenge Preparation:

Understand the Brief: If given a creative brief for a challenge, dissect it thoroughly. Identify the target audience, key message, desired outcome, and any constraints.
AI First, Refine Second: Practice quickly generating initial concepts using AI tools, then focus on applying your design skills (typography, composition, editing) to polish them into high-converting ads within a time limit.
Articulate Your Rationale: Be ready to explain why you made specific design choices, linking them back to performance marketing goals and the creative brief.

📝 Enhancement Note: The application process highlights the unique blend of AI and traditional design skills. Candidates should prepare to not only showcase their work but also explain their process, particularly how they leverage AI and data to achieve measurable results.

🛠 Tools & Technology Stack

Primary Design Tools:

Figma: Essential for collaborative design, prototyping, and creating scalable vector graphics. Expected to be used for layout, asset assembly, and potentially interactive elements.
Adobe Photoshop: Critical for advanced image editing, retouching, compositing, and preparing final assets for ad platforms.
Adobe Illustrator: Useful for creating vector graphics, logos, and complex illustrations that require scalability and precision.

AI Image Generation Tools:

Midjourney / FLUX / Higgsfield / Nano Banana / Gemini / Firefly / Krea (or similar): Practical commercial experience with one or more of these AI image generation platforms is expected. Proficiency in prompt engineering and refining AI outputs is key.

Analytics & Reporting (Familiarity):

Meta Ads Manager / Google Ads: Understanding how creatives are implemented and tracked within these platforms.
Performance Metrics: Familiarity with key metrics such as CTR, CPA, ROAS, and an understanding of how creative performance data informs design iterations.

CRM & Automation (Less Emphasis):

While not the primary focus, basic familiarity with how creatives are managed within broader marketing automation or CRM platforms might be beneficial but is not explicitly required.

📝 Enhancement Note: The technology stack is heavily skewed towards design and AI tools. While understanding performance metrics is crucial, the core requirement is proficiency in the tools used for creative generation and refinement.

👥 Team Culture & Values

Operations Values:

Data-Driven Decision Making: A core value is leveraging performance data to inform creative decisions, moving beyond subjective aesthetics to measurable impact.
Efficiency & Speed: Embracing a culture of rapid production, iteration, and optimization to meet the demands of high-volume performance advertising.
Innovation & Adaptability: A willingness to explore and adopt new technologies, particularly AI, to enhance creative workflows and outcomes.
Collaboration & Communication: Strong emphasis on working effectively with cross-functional teams (strategy, performance marketing) through clear and consistent communication.
Ownership & Accountability: Taking responsibility for the quality and performance impact of creative output, demonstrating a proactive and results-oriented approach.

Collaboration Style:

Cross-functional Integration: Expect to work closely with strategists and marketers, requiring the ability to translate their needs into visual assets and provide creative input informed by performance data.
Feedback-Oriented: A culture where constructive feedback is regularly exchanged, both for refining creatives and improving workflows.
Agile & Iterative: Collaboration likely occurs in sprints or cycles, with frequent check-ins and a focus on continuous improvement of creative assets.

📝 Enhancement Note: The culture emphasizes a blend of creative artistry and performance-driven execution. Values like efficiency, data-informed decisions, and adaptability are paramount in this fast-paced advertising environment.

⚡ Challenges & Growth Opportunities

Challenges:

Maintaining Creative Quality at Scale: Producing a high volume of ads without sacrificing visual quality or strategic effectiveness requires robust workflow management and efficient AI utilization.
Evolving AI Landscape: Keeping pace with the rapid advancements in AI image generation tools and techniques to maintain a competitive edge in creative production.
Translating Performance Data into Design: Effectively interpreting complex performance metrics and translating them into actionable design improvements can be challenging.
Balancing AI and Human Creativity: Finding the optimal balance between leveraging AI for speed and scale, while ensuring human oversight and artistic refinement deliver unique and compelling creative.

Learning & Development Opportunities:

Mastering AI Creative Workflows: Deepen expertise in prompt engineering, AI tool integration, and AI-assisted design refinement techniques.
Performance Marketing Acumen: Enhance understanding of paid media strategies, audience targeting, and conversion rate optimization through close collaboration with performance marketers.
Advanced Design Techniques: Refine skills in typography, composition, image editing, and brand consistency within the context of performance advertising.
Exposure to Diverse Brands: Work with a variety of consumer brands, gaining insights into different market segments and creative approaches within DTC and e-commerce.

📝 Enhancement Note: The challenges are directly related to the innovative nature of the role, emphasizing the need for continuous learning and adaptation in the AI and performance marketing space. Growth opportunities are focused on specializing in these high-demand areas.

💡 Interview Preparation

Strategy Questions:

"Describe your process for translating a creative brief for a performance ad campaign into multiple visual concepts. How do you incorporate AI tools into this process?"
"Walk us through a campaign where your creative significantly impacted performance metrics (e.g., CTR, CPA). What was your role, what did you change, and what were the results?"
"How do you balance the need for high-volume creative production with maintaining high visual quality and brand consistency?" Company & Culture Questions:
"What excites you most about working at the intersection of AI, graphic design, and performance marketing?"
"How do you approach receiving and acting on feedback from performance marketing teams?"
"Describe your experience working in a remote, autonomous environment. How do you ensure productivity and collaboration?" Portfolio Presentation Strategy:
Storytelling with Data: Structure your portfolio presentation around the narrative of problem (brief/goal), solution (your creative concept & execution), and result (performance metrics).
Highlight AI Integration: Clearly showcase projects where AI was used, explaining your specific role in prompt generation, refinement, and integration. Use screenshots or process flows if possible.
Demonstrate Iteration: Show examples of how you iterated on designs based on performance data or feedback, illustrating your adaptability and data-driven approach.
Focus on Volume & Variation: Be prepared to discuss your capacity for producing multiple ad variations efficiently and how you approach testing different creative elements.

📝 Enhancement Note: Interview preparation should focus on demonstrating a practical understanding of performance marketing, a clear workflow for AI-assisted creative production, and the ability to articulate results with data.

📌 Application Steps

To apply for this AI Graphic Designer position:

Submit your application through the provided Jobgether link.
Portfolio Customization: Ensure your portfolio prominently features examples of static paid-social advertisements, with a clear emphasis on direct-response principles and quantifiable results. Include specific case studies demonstrating your ability to produce high volumes of creatives and variations using AI tools.
Resume Optimization: Tailor your resume to highlight experience with performance ad creative, AI image generation tools (mention specific platforms if used), and proficiency in design software like Figma, Photoshop, and Illustrator. Quantify achievements wherever possible.
Prepare Your Narrative: Practice explaining your creative process, particularly how you integrate AI into your workflow and how you use performance data to drive design decisions. Be ready to walk through specific portfolio pieces.
Research the Landscape: Understand the typical creative strategies and common ad formats used in DTC/e-commerce performance advertising. Familiarize yourself with the types of challenges and goals this role aims to address.

⚠️ 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.

AI Graphic Designer - Performance Ads