AI Native Creative Designer

CrazyLabs
Full-timeβ€’Skopje, North Macedonia

πŸ“ Job Overview

Job Title: AI Native Creative Designer

Company: CrazyLabs

Location: Skopje, North Macedonia

Job Type: Full-Time

Category: Marketing Creative Operations / Visual Design

Date Posted: 2026-06-15

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

Remote Status: On-site

πŸš€ Role Summary

  • Spearhead the creation of cutting-edge, AI-driven creative assets for user acquisition (UA) campaigns and app store presence, driving install volume for hyper-casual and casual mobile games.

  • Master and leverage a suite of AI generative tools as the primary engine for design, from ideation and prompt engineering to final asset refinement.

  • Integrate AI-generated content seamlessly with traditional design tools and techniques to produce high-performing, on-brand marketing materials at scale.

  • Collaborate closely with UA managers and creative leads to translate marketing objectives into visually compelling creative that resonates with target audiences and maximizes conversion rates.

πŸ“ Enhancement Note: This role is explicitly defined as "AI-Native," indicating a strong emphasis on generative AI as the core design methodology rather than a supplementary tool. The focus on UA and app store presence suggests a high-volume, performance-driven creative environment common in the mobile gaming industry.

πŸ“ˆ Primary Responsibilities

  • Conceive, generate, and deliver high-performing creative assets across the entire marketing funnel, utilizing advanced AI pipelines as the primary toolkit for UA video campaigns and app store optimization.

  • Drive end-to-end creative workflows, encompassing AI video generation, image synthesis, and design tool integration, with a strong focus on prompt engineering, effective model selection, and iterative refinement.

  • Design compelling app store assets, including icons, screenshots, and feature graphics, that captivate browsers and convert them into active players, blending AI generation capabilities with a keen creative eye for market appeal.

  • Produce engaging marketing videos and UA creatives engineered to drive install volume, skillfully combining AI-generated footage with expert motion design and editing techniques using tools like After Effects and Premiere Pro.

  • Elevate AI-generated content with design polish through Adobe Creative Suite, ensuring all final assets are intentional, align with brand guidelines, and strategically support marketing objectives.

  • Foster strong partnerships with UA managers, game designers, and creative leads to translate strategic concepts into high-quality creative assets, meeting the rapid pace and volume demands of modern user acquisition efforts.

  • Execute rapid test-and-learn cycles, efficiently generating creative variants, identifying underperforming assets, and amplifying successful creative strategies.

  • Proactively stay at the forefront of AI technology by evaluating new tools, researching competitive creative trends, sharing insights with the team, and influencing CrazyLabs' overall creative output strategy.

πŸ“ Enhancement Note: The responsibilities highlight a dynamic, fast-paced environment requiring rapid iteration and data-driven decision-making. The emphasis on "end-to-end workflows" and "prompt engineering" points to a role that requires not only creative execution but also a deep understanding of AI model capabilities and how to manipulate them effectively for specific marketing outcomes.

πŸŽ“ Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in design principles, visual communication, or a related field is implied. Emphasis is placed on practical application and demonstrable skill over formal education.

Experience: Minimum of 2-5 years of hands-on experience in creative design, with a significant portion dedicated to leveraging AI generative tools for professional output. Experience within the mobile gaming industry or advertising technology sector is highly advantageous.

Required Skills:

  • Deep, hands-on expertise with leading AI creative tools, specifically AI video generation platforms (e.g., Runway, Kling, Veo, Seedance) and AI image generation tools (e.g., Midjourney, Flux, Stable Diffusion, or similar).

  • Demonstrated proficiency in prompt engineering, with a proven ability to craft effective prompts that steer generative models toward a specific creative vision and desired aesthetic.

  • Solid working knowledge of Adobe Creative Suite, including After Effects, Premiere Pro, Photoshop, and Illustrator, for finishing, refining, and polishing AI-generated content into professional, on-brand deliverables.

  • Fluency across video editing, compositing, and static design principles, with the ability to seamlessly transition between different asset types and formats.

  • A fast, iterative mindset focused on rapid testing and learning; comfort with shipping multiple test variations over perfecting a single asset.

  • Strong team-oriented and collaborative approach to working within a dynamic creative team.

  • Proven experience using AI for ideation, concept development, and the creation of stylized content. Preferred Skills:

  • Experience building or contributing to AI creative workflows that have been adopted and utilized by a team.

  • Familiarity with AI audio generation tools (e.g., ElevenLabs, Suno) and/or LLM-driven scripting for creative content development.

  • In-depth understanding of User Generated Content (UGC), AI content trends, and digital storytelling techniques, with the ability to integrate these into creative output.

  • Experience with the Unity game engine.

  • A genuine passion for mobile games and an understanding of game culture.

πŸ“ Enhancement Note: The explicit requirement for a portfolio showcasing "real output across multiple asset types" using AI pipelines is critical. This indicates that theoretical knowledge of AI tools is insufficient; candidates must demonstrate practical, production-ready results. The "bonus points" suggest areas where candidates can differentiate themselves and signal deeper engagement with the AI creative landscape.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • A comprehensive portfolio or showreel that unequivocally demonstrates the ability to produce polished, on-brand creative work using AI generative pipelines. This should showcase real-world output, not just experimental concepts, across various asset types including video, static images, and app store assets.

  • Evidence of successful application of prompt engineering techniques to achieve specific creative outcomes and stylistic consistency.

  • Examples of how AI-generated content has been integrated and refined using Adobe Creative Suite to meet professional production standards.

  • Case studies or examples illustrating rapid iteration and A/B testing of creative assets, highlighting the process of identifying and doubling down on high-performing variants.

  • Demonstrations of creative problem-solving using AI tools to overcome design challenges or meet specific marketing objectives. Process Documentation:

  • Showcase understanding of end-to-end creative workflows, from initial concept and AI generation to final asset delivery and refinement.

  • Ability to articulate the process of model selection, prompt iteration, and quality control within AI-driven creative production.

  • Examples of how performance data or test results have informed subsequent creative iterations and optimization efforts.

πŸ“ Enhancement Note: For an "AI-Native" role, the portfolio must heavily feature AI-generated work. It should not only display the final assets but also provide insight into the process of using AI tools, including prompt strategies, tool combinations, and iterative refinement. This demonstrates a deep understanding of AI as a creative engine.

πŸ’΅ Compensation & Benefits

Salary Range: Based on the specified experience level (2-5 years), location (Skopje, North Macedonia), and the specialized nature of "AI-Native" creative skills, a competitive salary range can be estimated. A typical range for a mid-level creative professional with AI expertise in this region would likely fall between 1,200 - 2,200 EUR gross per month. This estimate considers the demand for AI skills, the cost of living in Skopje, and industry benchmarks for creative roles in gaming and marketing technology.

Benefits:

  • Comprehensive Private Health Insurance from day one.

  • Daily catered breakfast and lunch at the office, with options tailored to personal preferences.

  • Choice between an electric scooter, bicycle, or a dedicated transportation budget for commuting.

  • Paid sports activities and complimentary access to the on-site gym.

  • Generous gift packages for various holidays and special occasions, including birthdays, weddings, childbirth, Women’s Day, and Christmas.

  • Frequent team gatherings and company-wide events fostering a strong sense of community.

  • Opportunity to work with and gain experience on the latest technological advancements in AI and creative production.

  • Access to both technical and soft skills training programs designed to support professional development and career growth.

  • Competitive salary package.

  • A generous referral bonus program for successful candidate referrals.

Working Hours: The role is structured around a standard 40-hour work week, indicative of a full-time, on-site position. While a standard schedule is expected, the fast-paced nature of UA creative may necessitate flexibility during peak campaign periods.

πŸ“ Enhancement Note: The salary range is an estimation based on industry knowledge and regional data for mid-level roles with specialized AI skills. Actual compensation will depend on the candidate's specific experience, portfolio strength, and negotiation. The benefits package is extensive, reflecting CrazyLabs' commitment to employee well-being and engagement.

🎯 Team & Company Context

🏒 Company Culture

Industry: Mobile Gaming (Casual & Hybrid-Casual Games). CrazyLabs operates in a highly competitive and rapidly evolving digital entertainment sector, focusing on games with broad appeal and significant download numbers, often driven by aggressive user acquisition strategies.

Company Size: While not explicitly stated, CrazyLabs is a significant player with over 8 billion downloads, suggesting a large, established organization with multiple teams and potentially global operations. This size implies robust infrastructure and established processes for creative production and marketing.

Founded: The company's founding date isn't provided, but its substantial download figures and focus on modern technologies like AI indicate a relatively contemporary and forward-thinking organization.

Team Structure:

  • The role is within the Marketing Creative Team, specifically working alongside UA managers and creative leads. This team likely comprises specialists in various creative disciplines, including motion design, graphic design, video editing, and now, AI-driven creative generation.

  • Collaboration is expected to be cross-functional, involving close interaction with User Acquisition (UA) managers to understand campaign objectives and performance metrics, and potentially with game designers to ensure creative alignment with game aesthetics.

  • The team operates with a fast-paced, iterative methodology, emphasizing rapid testing and deployment of creative assets to meet the demands of mobile game UA. Methodology:

  • Data-Driven Creative Optimization: The core methodology revolves around using AI to generate creative assets and then rapidly testing these assets to identify top performers, with a continuous feedback loop driven by UA performance data.

  • AI-First Workflow: The design process is fundamentally built around AI generative tools as the primary engine for content creation, augmented by traditional design software for refinement and polish.

  • Agile Iteration: A "ship five tests rather than perfect one" mentality guides the creative process, prioritizing speed, volume, and learning from market response.

Company Website: www.crazylabs.com

πŸ“ Enhancement Note: CrazyLabs' focus on "AI-Native" creative and its position as a leading mobile game publisher implies a culture that values innovation, speed, and performance. The emphasis on teamwork and continuous learning is crucial for adapting to the fast-changing landscape of AI and mobile gaming marketing.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: Mid-Level (2-5 years). This role is positioned for an individual who has moved beyond entry-level design tasks and possesses specialized, in-demand skills in AI creative generation. They are expected to contribute independently and drive creative output with minimal supervision.

Reporting Structure: The AI Native Creative Designer will likely report to a Creative Lead or Head of Creative within the Marketing Creative Team. Close collaboration with UA Managers is a key aspect of the role.

Operations Impact: This role has a direct and significant impact on revenue through the creation of high-performing User Acquisition (UA) creatives. Effective AI-driven designs directly influence install rates, cost per install (CPI), and ultimately, the profitability of CrazyLabs' game portfolio. The ability to rapidly test and iterate on creative assets is critical for optimizing marketing spend and maximizing return on investment (ROI).

Growth Opportunities:

  • Specialization in AI Creative: Deepen expertise in advanced AI generative models, prompt engineering, and AI pipeline development, becoming a go-to specialist within the company and industry.

  • Leadership in Creative Innovation: Progress into roles where you lead the adoption and implementation of new AI technologies within the creative process, potentially managing junior AI creatives or influencing creative strategy.

  • Cross-functional Expertise: Develop a stronger understanding of UA strategy, game design, and data analytics, enabling a more holistic contribution to marketing campaigns and product development.

  • Technical Skill Advancement: Gain deeper proficiency in advanced animation, motion graphics, and video editing techniques to further enhance AI-generated content.

πŸ“ Enhancement Note: The growth trajectory for this role is strongly tied to the burgeoning field of AI in creative industries. Success here can lead to specialized leadership positions focused on AI-driven marketing and content creation, a highly valuable and evolving career path.

🌐 Work Environment

Office Type: The description mentions an "Amazing office!" and includes benefits like catered meals and an in-office gym, strongly suggesting a vibrant, modern, and well-equipped physical workspace.

Office Location(s): The role is based in Skopje, North Macedonia. This implies an on-site work arrangement in a specific CrazyLabs office location within the city.

Workspace Context:

  • Collaborative Environment: The emphasis on teamwork and company events suggests a workplace designed for interaction and collaboration, with opportunities for spontaneous idea exchange and team building.

  • Technology-Rich: As a company focused on cutting-edge technology like AI, the workspace is expected to be equipped with high-performance computing resources, powerful workstations, and access to necessary software and hardware for AI model generation and creative production.

  • Dynamic and Fast-Paced: The nature of mobile game UA creative production means the work environment is likely energetic, deadline-driven, and focused on rapid execution and adaptation.

Work Schedule: A standard 40-hour work week is implied for this full-time, on-site role. However, the demands of UA campaigns might necessitate occasional flexibility to meet critical deadlines or launch new initiatives.

πŸ“ Enhancement Note: The "Amazing office!" and comprehensive on-site benefits (meals, gym) indicate a company that invests heavily in its physical workspace and employee experience, aiming to foster a productive and engaging environment for its on-site teams.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A review of your resume and portfolio to assess foundational skills, AI tool proficiency, and creative output quality.

  • Technical/Creative Interview: Likely involves a deep dive into your experience with AI tools, prompt engineering techniques, and your approach to integrating AI into creative workflows. Expect discussions around your portfolio pieces and how you achieved specific results.

  • Skills Assessment/Challenge: A practical exercise or case study where you might be asked to generate specific creative assets using AI tools under timed conditions, or to critique and propose improvements for existing creative. This will assess your speed, iterative capabilities, and problem-solving skills.

  • Team/Cultural Fit Interview: Meeting with potential team members and hiring managers to assess collaboration style, communication skills, and alignment with CrazyLabs' innovative and fast-paced culture.

  • Final Interview: Potentially with senior leadership to discuss strategic alignment and overall fit.

Portfolio Review Tips:

  • Highlight AI-Native Work: Ensure your portfolio prominently features projects where AI was the primary driver of creation. Clearly label which tools were used and the specific role AI played.

  • Showcase Process, Not Just Product: For key projects, briefly explain your prompt engineering strategy, model selection, and iterative refinement process. Demonstrate how you achieved the results.

  • Quantify Impact: If possible, include metrics or performance data related to the creative assets you've produced (e.g., increased CTR, higher conversion rates, lower CPI).

  • Demonstrate Versatility: Include examples across different asset types (video, static images, app store graphics) to show your adaptability.

  • Polish and Professionalism: Ensure all portfolio pieces are high-quality, on-brand, and presented professionally, reflecting the polish expected in the final deliverables.

Challenge Preparation:

  • AI Tool Familiarity: Refresh your knowledge of the specified AI tools (Runway, Midjourney, etc.) and practice generating diverse assets quickly.

  • Prompt Engineering Practice: Develop a strategy for quickly crafting effective prompts for various creative needs (e.g., dynamic video scenes, eye-catching static ads).

  • Adobe Suite Proficiency: Be ready to demonstrate quick editing, compositing, and refinement skills in Photoshop, After Effects, or Premiere Pro to polish AI outputs.

  • Understanding UA Metrics: Familiarize yourself with key UA metrics and how creative impacts them, as you may need to justify creative decisions based on performance.

πŸ“ Enhancement Note: The emphasis on "AI-Native" means the portfolio review will likely scrutinize how well candidates leverage AI as a core tool, not just an add-on. Demonstrating a rapid, iterative workflow and an understanding of how AI outputs translate into measurable marketing performance will be key differentiators.

πŸ›  Tools & Technology Stack

Primary Tools:

  • AI Video Generation: Extensive use of tools like RunwayML, Kling, Veo, Seedance for creating video content. Proficiency in prompt engineering and understanding of model capabilities are essential.

  • AI Image Generation: Deep expertise with platforms such as Midjourney, Flux, Stable

Diffusion, or similar for generating static visuals, icons, and app store assets.

  • Adobe Creative Suite: Essential for post-production, refinement, and integration of AI-generated assets. This includes:
    • After Effects: For motion graphics, animation, and complex video compositing.
    • Premiere Pro: For video editing, sequencing, and final output.
    • Photoshop: For image manipulation, asset creation, and refining generated visuals.
    • Illustrator: For creating vector graphics, icons, and scalable assets.

Analytics & Reporting: While not directly a responsibility of this role, an understanding of how creative performance is tracked using analytics tools (e.g., for UA campaigns) would be beneficial for iterative testing.

  • CRM & Automation: Not directly specified as a requirement for this creative role, but familiarity with how creative assets are deployed through marketing automation platforms or ad networks would be advantageous.

  • Integration Tools: Understanding how different creative asset types are integrated into various platforms (e.g., ad platforms, app stores) is crucial.

πŸ“ Enhancement Note: The technology stack is heavily weighted towards generative AI tools and industry-standard design software. Candidates must demonstrate practical, hands-on experience with these specific AI platforms and a strong ability to combine their outputs with traditional design workflows.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Innovation & Forward-Thinking: A commitment to exploring and adopting cutting-edge technologies, particularly in AI, to drive creative output and stay ahead of industry trends.

  • Teamwork & Collaboration: A strong emphasis on working together, sharing knowledge, and supporting team members to achieve collective goals.

  • Performance & Results-Oriented: A data-driven approach focused on delivering high-performing creative assets that contribute directly to user acquisition and revenue growth.

  • Agility & Adaptability: The ability to move quickly, iterate rapidly, and adapt to changing market demands and technological advancements.

  • Passion & Curiosity: Approaching work with genuine curiosity, a love for innovation, and a passion for creating engaging content, especially within the mobile gaming space.

Collaboration Style:

  • Cross-Functional Integration: Actively partnering with UA managers, game designers, and other creative team members to ensure alignment and maximize the impact of creative assets.

  • Open Communication & Feedback: A culture that encourages open dialogue, constructive feedback, and the sharing of new ideas and learnings related to AI and creative processes.

  • Knowledge Sharing: Proactively sharing insights, best practices, and discoveries related to new AI tools and techniques with the wider team to foster collective growth.

πŸ“ Enhancement Note: The company culture appears to be dynamic, progressive, and focused on leveraging technology to achieve business objectives. The values emphasize innovation, collaboration, and a results-driven mindset, which are crucial for success in a fast-paced marketing environment like mobile gaming UA.

⚑ Challenges & Growth Opportunities

Challenges:

  • Rapidly Evolving AI Landscape: Keeping pace with the constant influx of new AI tools, model updates, and evolving best practices in generative AI for creative production.

  • Maintaining Creative Quality at Scale: Balancing the speed and volume demanded by UA campaigns with the need for high-quality, on-brand, and effective creative output.

  • Ethical and Practical Limitations of AI: Navigating the current limitations and ethical considerations of AI-generated content while pushing creative boundaries.

  • Integrating AI with Traditional Design: Seamlessly blending AI-generated elements with human design polish to create assets that feel intentional and sophisticated, not just machine-generated.

Learning & Development Opportunities:

  • Mastery of AI Generative Tools: Continuous learning and deep specialization in the latest AI video and image generation platforms, becoming an expert in prompt engineering and AI pipeline development.

  • Advanced Creative Techniques: Opportunities to hone skills in motion graphics, video editing, compositing, and static design to enhance AI outputs.

  • User Acquisition Strategy: Gaining a deeper understanding of UA campaign mechanics, performance metrics, and how creative directly influences campaign success.

  • Industry Trend Analysis: Staying informed about emerging trends in AI, mobile gaming, and digital storytelling to proactively inform creative strategies.

πŸ“ Enhancement Note: This role is at the cutting edge of creative technology, offering significant opportunities for professional development. The primary challenge lies in navigating the rapid evolution of AI while consistently delivering high-impact creative.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe your process for developing a UA video campaign creative using AI tools from concept to execution. What steps would you take to ensure it's high-performing?" (Focus on AI workflow, prompt strategy, iteration, and performance metrics).

  • "How do you balance the speed of AI generation with the need for polished, on-brand creative assets? Can you provide an example?" (Highlight your Adobe Suite proficiency and creative refinement skills).

  • "Imagine a new AI video generation tool is released that offers unique capabilities. How would you evaluate it, and how would you propose integrating it into our existing creative pipeline?" (Demonstrate your proactive learning and strategic thinking). Company & Culture Questions:

  • "Why are you interested in CrazyLabs and our approach to AI in game marketing?" (Research their games, recent campaigns, and their stated focus on AI).

  • "How do you approach collaboration within a fast-paced creative team, especially when working with UA managers who have specific performance targets?" (Emphasize teamwork, communication, and data-driven insights).

  • "What are your thoughts on the future of AI in creative industries, particularly in gaming?" (Showcase your passion and forward-thinking perspective). Portfolio Presentation Strategy:

  • AI-First Narrative: Structure your portfolio presentation to emphasize your "AI-Native" approach. For each key project, explain the problem, your AI-driven solution, the tools used, your prompt engineering strategy, and the results achieved.

  • Demonstrate Iteration: Show examples of creative variations and explain how you used testing and data to refine them.

  • Highlight Integration: Clearly show how you've used Adobe Creative Suite to polish and finalize AI-generated assets, bridging the gap between raw AI output and professional deliverables.

  • Concise and Impactful: Be prepared to walk through your most relevant projects efficiently, focusing on the impact and your specific contributions.

πŸ“ Enhancement Note: Interview preparation should heavily focus on demonstrating practical AI skills, a rapid iterative process, and an understanding of how creative performance drives user acquisition in the mobile gaming context. Be ready to articulate your creative process using AI tools clearly and confidently.

πŸ“Œ Application Steps

To apply for this AI Native Creative Designer position:

  • Submit your application through the provided Comeet link, ensuring your resume and portfolio are up-to-date and readily accessible.

  • Curate Your Portfolio for AI Emphasis: Tailor your portfolio to prominently showcase your AI-generated creative work. Clearly label projects with the AI tools used, your specific prompt engineering approach, and any performance metrics or qualitative results. Include examples of both video and static assets.

  • Optimize Your Resume for AI Keywords: Integrate keywords such as "AI Native," "Generative AI," "Prompt Engineering," "RunwayML," "Midjourney," "After Effects," "User Acquisition Creative," and "Motion Design" naturally throughout your resume to highlight your relevant expertise and pass ATS screening.

  • Prepare Your Portfolio Walkthrough: Practice presenting 2-3 key projects from your portfolio, focusing on your AI-driven workflow, the challenges you overcame, and the impact of your creative output. Be ready to discuss your prompt strategies and how you refined AI outputs.

  • Research CrazyLabs' Creative & Games: Familiarize yourself with CrazyLabs' current game portfolio and recent marketing creative. Understand their brand aesthetic and target audience to tailor your responses and demonstrate genuine interest in their work.

⚠️ 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.

Application Requirements

Requires deep hands-on expertise with AI tools like Runway, Midjourney, and Flux, alongside proficiency in Adobe Creative Suite. Candidates must have a portfolio demonstrating polished, on-brand AI output and a fast, iterative mindset.