AI Graphic Designer - Performance Ads

📍 Job Overview

Job Title: AI Graphic Designer - Performance Ads

Company: Jobgether (Partner Company)

Location: Spain

Job Type: Full-time

Category: Marketing / Creative Operations

Date Posted: 2026-08-13

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

Remote Status: Remote OK

🚀 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 sophisticated blend of traditional graphic design expertise and cutting-edge AI image-generation workflows to accelerate creative production and experimentation.

• Translate creative briefs into multiple visual directions, concepts, hooks, and ad variations, ensuring a consistent output of test-ready assets for paid social platforms like Meta.

• Collaborate closely with Creative Strategy and Performance Marketing teams, actively incorporating campaign performance data and stakeholder feedback to iterate and optimize designs.

• Own the static ad production process, demonstrating a proactive and independent approach to delivering high-quality, results-driven visual content with minimal oversight.

📝 Enhancement Note: This role is positioned as a mid-level, hands-on production role within a performance marketing context. The emphasis on "high-volume," "test-ready," and "iterating at speed" suggests a need for efficiency and a data-informed design approach, aligning with the core principles of revenue operations and marketing operations focused on measurable growth. The requirement for AI tool proficiency indicates a forward-thinking approach to creative workflows.

📈 Primary Responsibilities

• Design and produce high-converting static advertising creatives specifically for Meta and other paid social media platforms, focusing on direct-response objectives.

• Develop multiple creative directions, concepts, compelling hooks, and ad variations from initial creative briefs to meet campaign objectives.

• Maintain a high-volume output of polished, test-ready creatives weekly, ensuring consistent quality and adherence to brand guidelines.

• Integrate AI image-generation tools (e.g., Midjourney, FLUX, Firefly) into the creative production workflow to enhance efficiency and expand experimental possibilities.

• Refine AI-generated imagery through advanced typography, composition, retouching, image editing, and strategic layout design to ensure visual appeal and effectiveness.

• Adapt and iterate on successful creative concepts into new formats, target audiences, visual treatments, and messaging angles to maintain campaign freshness and performance.

• Collaborate closely with the Senior Creative Strategist and performance marketing team to ensure creative concepts are effectively executed and aligned with campaign goals.

• Continuously iterate and improve creatives based on campaign performance data, A/B testing results, and actionable stakeholder feedback.

• Establish and maintain an efficient, organized, and repeatable creative production workflow to ensure timely delivery of assets.

• Take full ownership of the static ad production pipeline, serving as a reliable source of high-quality creative output with a high degree of autonomy.

📝 Enhancement Note: The responsibilities clearly delineate a production-focused role within a performance marketing framework. The emphasis on "high-converting," "test-ready," and "iterating based on campaign performance" underscores the operational aspect of creative delivery, where efficiency, data integration, and continuous improvement are paramount. This aligns with the operational mindset required in RevOps and Sales Ops, focusing on measurable outcomes and process optimization.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating practical application of design principles in a performance marketing context is paramount. Equivalent practical experience will be considered.

Experience: 2-5 years of proven experience in creating static paid-social advertisements, ideally for Direct-to-Consumer (DTC), e-commerce, or consumer brands, is required.

Required Skills:

• Demonstrated experience in creating static paid-social advertisements, with a focus on DTC, e-commerce, or consumer brands.

• A robust portfolio showcasing actual advertising and performance creatives, not solely branding, website, or organic social content.

• Proven ability to produce multiple creative variations efficiently and consistently in a fast-paced production environment.

• Strong understanding of direct-response advertising principles, including the critical role of hooks, visual hierarchy, messaging, and scroll-stopping design elements.

• Advanced hands-on proficiency in professional design software such as Figma, Photoshop, Illustrator, or comparable industry-standard tools.

• Practical commercial experience utilizing AI image-generation tools as an integral part of a creative production workflow.

• Excellent visual judgment across typography, composition, hierarchy, product presentation, image editing, and overall creative execution.

• Ability to accurately interpret creative briefs while exercising strong independent design decision-making during execution.

• Comfort and effectiveness in an environment that emphasizes continuous production, testing, and iteration of new creatives. Preferred Skills:

• Practical commercial experience using AI image-generation tools such as Higgsfield, Midjourney, FLUX, Nano Banana/Gemini, Firefly, Krea, or similar platforms.

• Experience creating advertising for specific DTC consumer categories like beauty, health, supplements, wellness, or apparel.

• Familiarity with key paid-media performance metrics (e.g., CTR, CPA, ROAS) and an understanding of how creative performance data informs iteration.

• Experience working with brands operating at significant paid-media scale.

📝 Enhancement Note: The emphasis on a portfolio of "actual advertising and performance creatives" and the preference for experience with specific DTC categories highlights the results-oriented nature of this role. The mention of performance metrics (CTR, CPA, ROAS) directly links creative output to business outcomes, a core tenet of operations roles. The AI tool experience is a critical differentiator, suggesting the company is at the forefront of creative production technology.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 distinct performance advertising campaigns or projects within the portfolio.

• For each project, clearly articulate the initial creative brief, the problem statement, and the specific objectives.

• Detail the design process, including any AI tools utilized, creative iterations, and final asset selection rationale.

• Quantify results wherever possible, highlighting improvements in key performance metrics such as Click-Through Rate (CTR), Conversion Rate (CVR), Cost Per Acquisition (CPA), or Return on Ad Spend (ROAS).

• Demonstrate the ability to produce a high volume of variations for A/B testing and campaign optimization. Process Documentation:

• Provide examples of how you document your creative production workflow, demonstrating efficiency and repeatability.

• Outline your approach to collaborating with creative strategists and performance marketers to gather feedback and iterate on designs.

• Showcase how you integrate AI tools into your design process and manage the output for optimization.

• Illustrate your method for analyzing campaign performance data to inform subsequent creative iterations and strategy adjustments.

📝 Enhancement Note: The portfolio requirements are heavily focused on demonstrating tangible results and process efficiency, which are core to operations roles. The emphasis on "quantifying results," "analyzing campaign performance data," and "repeatable workflow" directly aligns with the operational mindset of driving measurable outcomes through optimized processes.

💵 Compensation & Benefits

Salary Range: Based on the mid-level experience requirement (2-5 years), the location in Spain, and the specialized nature of AI and performance ad design, a competitive annual salary range in Spain would typically fall between €30,000 - €45,000. This estimate is based on industry benchmarks for graphic design roles with a performance marketing focus, considering the cost of living in Spain and the demand for AI-integrated creative skills.

Benefits:

• Full-time position with a remote-first setup across Europe, offering significant flexibility and work-life balance.

• Opportunity to work at the exciting intersection of professional graphic design, AI image generation, and performance marketing, fostering continuous learning and skill development.

• High-volume creative environment with continuous opportunities to experiment and test new visual concepts, promoting creative growth and innovation.

• Close collaboration with experienced creative strategy and performance marketing professionals, providing mentorship and exposure to advanced marketing tactics.

• Hands-on exposure to modern AI-powered creative production workflows and tools, keeping skills at the forefront of industry trends.

• Significant ownership over the static-ad production process, allowing for direct impact and professional autonomy.

• Opportunity to directly influence advertising performance through creative experimentation and iteration, linking design work to measurable business success.

• Fast-paced environment suited to designers who thrive on producing and refining work at speed, fostering agility and efficiency.

• Opportunity to develop deep expertise in performance creative for DTC and e-commerce brands, enhancing career specialization.

Working Hours: Standard full-time hours are expected, likely around 40 hours per week, with flexibility inherent in a remote-first European setup. Emphasis will be placed on output and meeting deadlines rather than strict adherence to a 9-to-5 schedule, common in performance-driven creative roles.

📝 Enhancement Note: The salary estimate is a carefully considered projection for a mid-level professional in Spain, incorporating the specialized AI and performance ad skills. The benefits are detailed to highlight value beyond monetary compensation, emphasizing growth and work-life integration, which are attractive to operations professionals seeking a supportive and dynamic work environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates within the digital marketing and advertising technology sector, with a strong focus on performance marketing for consumer brands. This industry is characterized by rapid innovation, data-driven decision-making, and a constant pursuit of measurable results.

Company Size: The description implies a growing company, likely a startup or a scale-up, that is actively seeking to expand its client base and capabilities. This often translates to a dynamic, agile culture where individual contributions have a significant impact.

Founded: While the founding date isn't specified, the emphasis on AI-powered matching and a remote-first setup suggests a relatively modern company that has embraced technological advancements and flexible work models.

Team Structure:

• The role involves collaboration with specialized teams: Creative Strategy and Performance Marketing. This indicates a cross-functional team structure where distinct expertise converges to achieve common goals.

• The AI Graphic Designer will likely report to a Creative Strategist or a Head of Creative/Marketing, with direct interaction and reporting lines to performance marketing managers regarding campaign execution and results.

• Cross-functional collaboration is a core aspect, requiring seamless communication and alignment between design, strategy, and performance analysis. Methodology:

• Data analysis and insights are central, with creative iteration directly driven by campaign performance metrics (CTR, CPA, ROAS).

• Workflow planning and optimization are crucial for maintaining high-volume output and efficiency, especially with the integration of AI tools.

• Automation and efficiency practices are encouraged, particularly through the use of AI image generation to streamline production and expand testing capabilities.

Company Website: jobgether.com

📝 Enhancement Note: The interpretation of company culture is based on the role's description and the services offered by Jobgether. The emphasis on performance, AI integration, and cross-functional collaboration points to a modern, results-oriented environment that values efficiency and innovation.

📈 Career & Growth Analysis

Operations Career Level: This role represents a specialized mid-level position within the creative production arm of performance marketing. It’s ideal for a designer who wants to deepen their expertise in direct-response creative and gain significant experience with AI tools in a commercial setting. The focus is on execution and iterative improvement rather than high-level strategic planning, though insights from performance can influence strategy.

Reporting Structure: The AI Graphic Designer will report to a Senior Creative Strategist or a similar creative lead. Close collaboration will occur with Performance Marketing Managers who provide campaign data and feedback. This structure allows for direct creative input to be informed by marketing objectives and outcomes.

Operations Impact: The primary impact of this role is on revenue generation through the creation of effective advertising creatives that drive conversions and improve key performance metrics like CTR, CPA, and ROAS. By producing a high volume of testable assets, the designer directly contributes to the optimization of advertising spend and the overall growth of consumer brands.

Growth Opportunities:

• Specialization in Performance Creative: Deepen expertise in creating high-converting visuals for various DTC and e-commerce categories, becoming a sought-after specialist in performance-driven design.

• AI Tool Mastery: Become an expert in leveraging advanced AI image generation tools within a professional design workflow, potentially leading to roles focused on AI creative operations or strategy.

• Creative Strategy Collaboration: Develop a stronger understanding of creative strategy by working closely with senior strategists, potentially leading to opportunities in creative concept development or campaign planning.

• Data-Informed Design Leadership: Transition into roles where data analysis and performance insights are more heavily integrated into strategic creative decision-making, potentially moving towards a Creative Operations Manager or similar role.

📝 Enhancement Note: The growth analysis is tailored to a creative role within an operational framework. It emphasizes skill development in areas directly relevant to performance marketing and the evolving landscape of AI in creative production, positioning it as a pathway to specialized operational roles.

🌐 Work Environment

Office Type: The position is explicitly stated as "remote-first setup across Europe," indicating a fully remote work environment. There is no expectation of a physical office presence.

Office Location(s): While the role is remote-first within Europe, the specific job listing is for Spain. This may imply a preference for candidates residing in Spain or the European Union for administrative or legal reasons, but the work itself is performed remotely.

Workspace Context:

• Collaborative Environment: Despite being remote, the role emphasizes close collaboration with Creative Strategy and Performance Marketing teams. This requires strong communication skills and comfort with digital collaboration tools.

• Operations Tools and Technology: Candidates will need a reliable internet connection and a suitable personal workspace. Access to and proficiency with design software and AI tools will be essential. The company likely provides access to project management and communication platforms.

• Team Interaction: Regular virtual meetings, project updates, and feedback sessions are expected to facilitate team interaction and ensure alignment on creative production and campaign goals.

Work Schedule: The role is full-time, likely around 40 hours per week. The remote-first, Europe-wide setup suggests flexibility in working hours, provided that deadlines are met and availability for key collaboration times (e.g., team meetings, critical feedback sessions) is maintained. This flexibility is crucial for aligning with potential global client needs and optimizing personal productivity.

📝 Enhancement Note: The remote-first nature is a significant aspect. The description focuses on how remote collaboration and asynchronous work will function within a performance-driven creative team, highlighting the operational requirements for effective remote work in this context.

📄 Application & Portfolio Review Process

Interview Process:

• Application Screening: Initial review of applications, with a strong emphasis on the portfolio's relevance to performance advertising and AI tool usage. Jobgether's AI matching system will likely prioritize candidates based on keyword alignment and portfolio strength.

• Portfolio Review & Initial Interview: Candidates whose portfolios meet the initial criteria will be invited for an interview. This will involve a deeper dive into their portfolio, discussing specific projects, their role in them, the design process, and performance outcomes. Expect questions about their experience with AI tools and direct-response principles.

• Creative Challenge/Task: A practical design exercise may be assigned, simulating a real-world scenario. This could involve creating ad variations from a brief, adapting an existing creative, or demonstrating AI image generation techniques. The focus will be on speed, efficiency, and adherence to performance objectives.

• Team/Hiring Manager Interview: Further discussion with the hiring manager or key team members (e.g., Senior Creative Strategist, Performance Marketing Manager) to assess cultural fit, collaboration style, and deeper understanding of performance marketing dynamics.

• Final Decision: Based on the overall assessment of skills, portfolio, and fit.

Portfolio Review Tips:

• Curate for Relevance: Prioritize projects that specifically showcase static paid-social ad creatives for DTC/e-commerce brands. Include examples demonstrating A/B testing variations and how design choices were informed by performance.

• Highlight AI Integration: Clearly label and explain your process for using AI image generation tools. Showcase how you refined AI outputs with traditional design skills (typography, composition, retouching).

• Quantify Impact: For each project, provide context on the campaign goals and, if possible, specific performance metrics (e.g., "Increased CTR by X%," "Reduced CPA by Y%"). Use clear, concise data points.

• Showcase Volume & Iteration: Include examples of how you created multiple variations efficiently. This demonstrates your ability to meet the high-volume production demands of the role.

• Tell a Story: For each featured project, frame it as a problem-solution narrative. What was the brief? What was your approach? What were the results?

Challenge Preparation:

• Understand Performance Metrics: Be ready to discuss CTR, CPA, ROAS, and how creative elements influence them.

• Practice AI Workflows: Familiarize yourself with your preferred AI tools and be ready to demonstrate how you integrate them into a design process for ads.

• Time Management: If given a task, plan your approach to ensure you can deliver a quality output within the allotted time, prioritizing core objectives.

• Brief Interpretation: Practice quickly grasping creative briefs and identifying key elements for effective ad design.

📝 Enhancement Note: This section provides actionable advice for preparing an operations-focused application. The emphasis on "quantifying impact," "AI integration," and "performance metrics" directly addresses the operational requirements of the role and how to best present these aspects in an application and interview.

🛠 Tools & Technology Stack

Primary Tools:

• Professional Design Software: Advanced proficiency required in Figma, Photoshop, and Illustrator for creating, editing, and refining static ad creatives.

• AI Image Generation Platforms: Practical commercial experience with tools such as Midjourney, FLUX, Firefly, Krea, Higgsfield, Nano Banana/Gemini, or similar is essential for accelerating production and experimentation.

• Project Management Tools: Familiarity with tools like Asana, Trello, or Monday.com for managing workflows, tracking tasks, and collaborating on projects.

Analytics & Reporting:

• Performance Metrics Understanding: While not directly operating analytics tools, a strong understanding of paid-media performance metrics (CTR, CPA, ROAS) is crucial for informing creative iterations. Experience with platforms like Google Analytics or Meta Ads Manager reporting interfaces is a plus.

CRM & Automation:

• CRM Familiarity (Advantageous): While not a primary requirement for this design role, familiarity with CRM systems like Salesforce or HubSpot can provide context on how ad creative performance feeds into broader customer journey analytics.

📝 Enhancement Note: The tools listed are critical for a graphic designer in a performance advertising context. The emphasis on both traditional design software and AI image generation tools highlights the hybrid nature of the role, and the mention of performance metrics underscores the operational data focus.

👥 Team Culture & Values

Operations Values:

• Data-Driven Creativity: Decisions and iterations are guided by performance data. The value placed on measurable results means that creative effectiveness is as important as aesthetic appeal.

• Efficiency & Speed: A culture that values rapid production cycles and efficient workflows, particularly through the use of AI. The ability to produce and test at speed is highly prized.

• Collaboration & Communication: Strong emphasis on teamwork and clear communication across functions (design, strategy, marketing) to ensure alignment and optimal campaign outcomes.

• Continuous Improvement: A commitment to learning, adapting, and refining processes and creative approaches based on testing and feedback. This includes staying abreast of new AI technologies and performance marketing trends.

Collaboration Style:

• Cross-Functional Integration: Seamless integration with Creative Strategy and Performance Marketing teams, requiring proactive communication and shared understanding of objectives.

• Feedback-Driven Process: An open culture for providing and receiving constructive feedback on creative work, with a focus on improving performance.

• Knowledge Sharing: Encouragement of sharing best practices, new techniques (especially with AI), and insights gained from campaign performance to benefit the entire team.

📝 Enhancement Note: These values are inferred from the role's requirements and the nature of performance marketing. They highlight an operational focus on measurable outcomes, efficiency, and collaborative problem-solving, which are key characteristics of successful operations teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing AI and Human Design: Effectively integrating AI-generated content with human artistic direction and refinement to produce authentic and high-performing creatives.

• High-Volume Production Demands: Consistently meeting aggressive deadlines for producing a large quantity of ad variations while maintaining high quality.

• Rapidly Evolving AI Landscape: Staying updated with the latest advancements in AI image generation tools and techniques to maintain a competitive edge.

• Data Interpretation for Creative: Translating performance metrics into actionable creative insights and design adjustments.

Learning & Development Opportunities:

• AI Creative Specialization: Becoming an expert in AI-driven creative production for advertising, a rapidly growing field with high demand.

• Performance Marketing Acumen: Deepening understanding of direct-response marketing, ad platform dynamics, and campaign optimization strategies.

• Creative Strategy Acumen: Gaining exposure to higher-level creative strategy by working closely with senior strategists, potentially leading to more strategic roles.

• Industry Conference & Workshop Access: Potential opportunities to attend relevant industry events focusing on digital advertising, AI in creative, and performance marketing.

📝 Enhancement Note: The challenges and growth opportunities are framed within the context of a dynamic and evolving field. They highlight areas where skill development can lead to significant career advancement, particularly in specialized operational and creative technology roles.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for translating a creative brief into multiple advertising concepts and variations, particularly when incorporating AI tools." (Focus on workflow, AI integration, and iterative design.)

• "How do you approach balancing the efficiency of AI image generation with the need for high-quality, brand-aligned design? Provide an example." (Focus on quality control, refinement, and artistic judgment.)

• "Walk us through a campaign where your creative significantly impacted performance metrics (e.g., CTR, CPA). What were the key design elements and how did you iterate based on data?" (Focus on data-driven iteration and measurable results.) Company & Culture Questions:

• "What interests you about working at the intersection of AI, graphic design, and performance marketing?" (Assess passion and alignment with the role's core focus.)

• "How do you stay updated on the latest trends in AI image generation and performance advertising?" (Gauge proactivity and commitment to continuous learning.)

• "Describe your experience working remotely in a collaborative, fast-paced environment. How do you ensure effective communication and productivity?" (Assess remote work readiness and collaboration skills.) Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio by campaign or project. For each, clearly state the objective, your role, the tools used (especially AI), the process, and the results.

• Quantify Everything Possible: Use numbers and metrics to demonstrate the impact of your work. Instead of saying "improved performance," say "increased CTR by 15%."

• Showcase AI Workflow: Be prepared to verbally walk through your AI image generation process for a specific piece, highlighting how you iterated and refined.

• Focus on Iteration: Show examples of how you created multiple variations and explain the rationale behind those variations (e.g., testing different hooks, visual styles, CTAs).

• Be Ready for a Live Task: Prepare for a potential live design challenge that tests your speed, design thinking, and ability to work with a brief.

📝 Enhancement Note: These interview questions and preparation tips are designed to help candidates showcase their operational mindset, technical skills, and ability to deliver measurable results, aligning with the expectations of a performance-focused creative role.

📌 Application Steps

To apply for this operations-adjacent creative position:

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

• Portfolio Customization: Tailor your portfolio to prominently feature static paid-social ad creatives for DTC/e-commerce brands. Ensure AI tool usage is clearly demonstrated and performance metrics are highlighted.

• Resume Optimization: Update your resume to emphasize keywords such as "Performance Ads," "AI Graphic Design," "DTC Creative," "Paid Social," "Figma," "Photoshop," "Midjourney," and "Direct-Response." Quantify achievements with specific metrics.

• Interview Preparation: Practice articulating your design process, AI integration methods, and how your creative work directly impacts performance metrics. Prepare case studies from your portfolio to illustrate your problem-solving skills.

• Company Research: Familiarize yourself with Jobgether's model and the general landscape of performance marketing agencies or brands that utilize AI in creative production. Understand the importance of data-driven creative in this 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.