AI Video Marketing Designer (Contract)
π Job Overview
Job Title: AI Video Marketing Designer (Contract)
Company: The Mind Company
Location: Costa Rica
Job Type: Full-Time Contract
Category: Marketing Operations / Creative Operations
Date Posted: May 30, 2026
Experience Level: Mid-Level (2-5 years)
Remote Status: Fully Remote
π Role Summary
-
High-output, "operator" role focused on creating performance video ads at scale for platforms like Meta and AppLovin.
-
Spearhead the integration of cutting-edge generative video tools into a scalable production system, driving continuous improvement and efficiency.
-
Leverage a deep understanding of design principles and performance metrics (e.g., ROAS) to inform creative strategy and execution.
-
Develop and refine creative systems, with a strong emphasis on rapid wireframing, prototyping, and fast iteration cycles.
-
Actively experiment with and pressure-test new generative AI video technologies, identifying and implementing best practices for production workflows.
π Enhancement Note: While the title is "AI Video Marketing Designer," the description strongly emphasizes "operator" and "performance" aspects, indicating a role more aligned with Marketing Operations or Creative Operations than traditional design. The focus on ROAS targets and high-volume production suggests a need for efficiency, scalability, and data-driven decision-making, characteristic of operations roles.
π Primary Responsibilities
-
Produce high-volume, high-performance video advertisements for digital marketing channels, including Meta (Facebook/Instagram) and AppLovin.
-
Continuously research, evaluate, and test new generative video AI tools and platforms (e.g., Veo 3, Kling, Runway Gen-4), assessing their capabilities and potential for production integration.
-
Develop and optimize prompt engineering strategies for text-to-image, text-to-video, and voice synthesis models, including advanced techniques like token weighting, negative prompting, LoRA fine-tuning, and style anchoring.
-
Design and build functional wireframes and interactive prototypes rapidly using tools like Figma, ensuring clarity and efficiency for quick iteration and stakeholder review.
-
Collaborate closely with marketing and product teams to understand campaign objectives, target audiences, and performance goals (e.g., ROAS targets), translating these into effective video creative strategies.
-
Maintain pixel-level attention to design details, including hierarchy, contrast ratios, and motion timing, ensuring all creative elements contribute to conversion optimization.
-
Document and refine production workflows for generative video asset creation, aiming to increase speed, reduce costs, and improve overall output quality.
-
Stay ahead of the curve on advancements in LLMs, multimodal models, and embedding pipelines, understanding their limitations and how to build robust production workflows around them.
π Enhancement Note: The core responsibilities are heavily weighted towards production efficiency, system optimization, and performance metrics, which are hallmarks of operations roles. The emphasis on "shipping before asked" and "treating a ROAS target like a personal challenge" further solidifies this operations focus.
π Skills & Qualifications
Education:
Experience:
- 2-5 years of experience in video production, digital marketing creative, or a related field with a significant focus on performance-based advertising.
Required Skills:
-
Design Software Proficiency: Deep expertise in Figma, Adobe Creative Suite (Photoshop, Illustrator), and After Effects for asset creation, editing, and motion graphics.
-
Generative AI Expertise: Encyclopedic knowledge of current generative video models (e.g., Veo 3, Kling, Runway Gen-4), with a clear understanding of their strengths, weaknesses, and future trajectory.
-
Prompt Engineering Mastery: Exceptional skills in prompt engineering across text-to-image, text-to-video, and voice synthesis, including advanced techniques like token weighting, negative prompting, LoRA fine-tuning, and style anchoring.
-
AI Model Understanding: Fluent understanding of Large Language Models (LLMs), multimodal models, and embedding pipelines, including their operational limitations and how to build resilient workflows.
-
Performance-Oriented Design: Strong eye for design principles applied to conversion optimization; ability to articulate how layout, hierarchy, contrast, and motion timing impact performance and ROAS.
-
Prototyping & Wireframing: Voracious appetite for building functional wireframes and prototypes rapidly in Figma, with a focus on clarity and speed.
-
Workflow Development: Experience in developing and optimizing production systems and workflows, particularly for AI-driven creative processes.
-
US Hours Availability: Ability to work effectively within US business hours (EST, CST, or PST) to facilitate collaboration.
Preferred Skills:
-
Experience with A/B testing creative variations and analyzing performance data to inform future production.
-
Familiarity with analytics and reporting tools to track campaign performance.
-
Basic understanding of video encoding, compression, and platform-specific best practices.
-
Experience working in a fully remote, contract-based environment.
π Enhancement Note: The "Must-Have Skills" section is exceptionally detailed and technical, reflecting a specialized role. The emphasis on prompt engineering, generative AI models, and understanding LLMs points to a need for deep technical skill in AI applications within a marketing context. The "operator" mindset is critical, implying a need for efficiency, automation, and a proactive approach to problem-solving.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
-
Performance-Driven Case Studies: Showcase at least 2-3 projects where your video creative work directly contributed to measurable marketing performance (e.g., increased ROAS, conversion rates, downloads). Clearly articulate the problem, your approach, the tools used (including AI), and the quantifiable results.
-
Generative AI Workflow Examples: Include examples of how you've utilized generative AI tools (text-to-video, text-to-image, voice synthesis) in a production capacity. Demonstrate your prompt engineering skills and how you've overcome limitations of these tools.
-
Rapid Prototyping & Iteration: Present examples of quick wireframes or prototypes created in Figma, illustrating your ability to translate concepts into functional designs swiftly.
-
System Optimization Contributions: If applicable, detail instances where you contributed to improving creative production workflows, increasing efficiency, or reducing costs through process changes or tool integration.
-
Technical Proficiency Demonstration: Clearly list and, if possible, visually represent your proficiency with the required software and AI technologies.
Process Documentation:
-
Be prepared to discuss your approach to developing and documenting creative production workflows, particularly how you would integrate new AI tools into an existing or new system.
-
Demonstrate an understanding of how to establish feedback loops and iteration processes within a high-volume creative environment.
-
Show awareness of how to measure the effectiveness and efficiency of creative processes and identify areas for optimization.
π Enhancement Note: Given the "operator" nature of the role and the focus on scalable production, a portfolio demonstrating practical application, efficiency, and measurable results is crucial. The emphasis on AI tools and prompt engineering suggests a need for tangible examples of their use in a production context.
π΅ Compensation & Benefits
Salary Range:
Benefits:
-
Contract Role: This is a full-time contract position, offering flexibility and project-based engagement.
-
Fully Remote: Work from anywhere within Costa Rica, enjoying the benefits of a remote work environment.
-
US Hours Collaboration: Opportunity to work with a global team and gain experience with US-based market strategies.
-
Cutting-Edge Technology: Direct engagement with and development of skills in the latest generative AI video tools and marketing technologies.
-
Impactful Work: Contribute directly to the performance of award-winning mental fitness apps.
-
Paid Project Interview: The final interview stage includes a paid project, compensating candidates for their time and effort in showcasing their skills.
Working Hours:
- 40 hours per week, with the requirement to align with US business hours (EST, CST, or PST). This may involve some flexibility in daily scheduling but requires consistent availability during core US working periods.
π Enhancement Note: Salary estimation for contract roles requires careful consideration of location, required skills, and the need to work in a different time zone. The provided range reflects a blend of these factors, aiming for competitive compensation for specialized skills in a remote setting.
π― Team & Company Context
π’ Company Culture
Industry: Mental Fitness Technology / Mobile Applications. The Mind Company operates within the rapidly growing digital health and wellness sector, focusing on cognitive enhancement and mental well-being through its suite of apps. This context means the creative output is tied to promoting science-backed products that aim to improve users' lives.
Company Size: The Mind Company is described as a "fully remote company of voracious learners and passionate doers." While exact employee numbers aren't stated, this suggests a mid-sized to large startup environment that values initiative, self-direction, and a proactive approach.
Founded: The company has a portfolio of award-winning apps, implying a history of successful product development and market presence.
Team Structure:
-
Creative Operations Focus: The role is positioned within a team that likely emphasizes efficiency, scalability, and performance metrics for creative output.
-
Cross-functional Collaboration: Expected to collaborate closely with marketing, product, and potentially data analysis teams to align creative efforts with business objectives.
-
Remote-First Environment: The team operates entirely remotely, necessitating strong communication, asynchronous work practices, and reliance on digital collaboration tools.
Methodology:
-
Data-Driven Creative: The role's emphasis on ROAS and performance metrics indicates a data-driven approach to creative development and optimization.
-
Agile & Iterative: The mention of "sprints" and "pressure-testing new tools" suggests an agile methodology focused on rapid iteration and continuous improvement.
-
Experimental & Innovative: A culture that encourages testing new technologies, especially generative AI, and learning from both successes and failures.
Company Website: https://themindcompany.com/
π Enhancement Note: The company's mission in mental fitness, combined with its remote, "lean and agile" operational style, suggests a culture that values impact, innovation, and self-sufficiency. The role's focus on AI and performance marketing aligns with a forward-thinking, results-oriented approach.
π Career & Growth Analysis
Operations Career Level: Mid-level, specialized role focused on the intersection of AI, creative production, and performance marketing. This is an "operator" position, demanding high output and proactive problem-solving rather than strategic oversight. The growth path is likely within specialized creative operations, AI integration, or performance marketing creative.
Reporting Structure: Likely reports to a Marketing Operations Manager, Creative Operations Lead, or Head of Performance Marketing, depending on the team's organizational structure. The emphasis is on executing tasks and optimizing processes within a defined scope.
Operations Impact: This role has a direct and quantifiable impact on revenue through the creation of high-performing video ads. Success is measured by the ROAS and conversion rates generated by the creative assets produced, directly influencing customer acquisition costs and overall marketing ROI.
Growth Opportunities:
-
AI Tool Mastery: Deepen expertise in a rapidly evolving field of generative AI for creative applications, becoming a go-to specialist.
-
Performance Marketing Acumen: Develop a sophisticated understanding of performance marketing strategies, including A/B testing, audience segmentation, and campaign optimization from a creative perspective.
-
Production System Scaling: Gain experience in building and scaling creative production workflows for high-volume digital advertising.
-
Cross-functional Exposure: Work closely with marketing, product, and potentially data science teams, broadening understanding of the entire GTM funnel.
-
Contract to Potential Full-Time: Depending on performance and company needs, successful contract employees may be considered for full-time roles, though this is not guaranteed.
π Enhancement Note: The "contract" nature implies that growth might be project-specific or within the scope of developing expertise in AI and performance creative. However, the company's emphasis on "voracious learners and passionate doers" suggests opportunities for skill advancement even within a contract framework.
π Work Environment
Office Type: Fully remote. This role operates entirely outside of a traditional office setting.
Office Location(s): Candidates must be located in Costa Rica. The company has no physical offices for this role.
Workspace Context:
-
Autonomous Work: Requires a self-disciplined and organized approach to managing one's work environment and schedule.
-
Digital Collaboration: Heavy reliance on communication and collaboration tools (e.g., Slack, email, project management software) to connect with team members and stakeholders.
-
Technology Stack: Access to necessary hardware and a stable internet connection is essential for performance and seamless integration with the company's tech stack.
-
Focus on Output: The environment prioritizes the delivery of high-quality, high-volume creative assets and the continuous improvement of production processes.
Work Schedule:
-
Approximately 40 hours per week.
-
Must be available and able to work during core US business hours (EST, CST, or PST) to ensure effective collaboration with the broader team. This may require adjusting personal work hours.
π Enhancement Note: The fully remote nature, coupled with the US hours requirement, means the candidate needs a robust home office setup and the discipline to manage their schedule effectively across time zones.
π Application & Portfolio Review Process
Interview Process:
-
Initial Application Review: Screening based on resume, qualifications, and alignment with the "operator" mindset.
-
Skills Assessment/Technical Interview: Likely involves a deep dive into your proficiency with Figma, Adobe Creative Suite, After Effects, and especially your knowledge and practical experience with generative AI tools and prompt engineering. Expect technical questions about model capabilities and workflow integration.
-
Portfolio Review: A crucial stage where you will present examples of your work, focusing on performance-driven video ads, AI integration, rapid prototyping, and workflow optimization.
-
Paid Project: The final step is a paid project designed to mimic the day-to-day tasks of the role. This allows you to demonstrate your ability to produce high-quality, performance-oriented video ads at scale, integrate AI tools, and meet deadlines under realistic conditions.
-
Final Discussion: A wrap-up conversation to discuss the paid project, cultural fit, and confirm expectations.
Portfolio Review Tips:
-
Quantify Everything: For each project, clearly state the objective, your role, the tools used (especially AI), the creative strategy, and most importantly, the quantifiable results (e.g., ROAS increase, CPA reduction, download uplift).
-
Showcase AI Proficiency: Dedicate a section to your generative AI work. Demonstrate specific prompt engineering techniques, show before-and-after examples, and explain your thought process for choosing particular models or parameters.
-
Highlight Speed & Efficiency: Include examples of rapid prototyping or fast iteration cycles. Emphasize your ability to produce at scale and your "operator" mindset for getting things done efficiently.
-
Tailor to Performance: Ensure your portfolio clearly communicates how your creative decisions directly influenced marketing performance metrics.
-
Organize for Clarity: Make your portfolio easy to navigate. Use clear headings, concise descriptions, and visually appealing presentations.
Challenge Preparation:
-
AI Tool Familiarity: Be ready to discuss current trends in generative AI video, specific model strengths (Veo 3, Kling, Runway Gen-4, etc.), and your experience with advanced prompt engineering.
-
Performance Marketing Mindset: Practice articulating how creative impacts ROAS, CPA, and other key metrics. Be prepared to discuss how you'd approach testing creative variations.
-
Workflow Design: Think about how you would build or improve a system for producing hundreds or thousands of video ads, integrating AI tools efficiently.
π Enhancement Note: The emphasis on a "paid project" as the final interview step is a strong indicator of how The Mind Company assesses candidates for operational roles. It prioritizes practical output and problem-solving over theoretical knowledge.
π Tools & Technology Stack
Primary Tools:
- Figma: Essential for wireframing, prototyping, and potentially final asset design.
Proficiency in creating clean, efficient files for rapid iteration is key.
-
Adobe Creative Suite: Deep expertise required, particularly in:
- After Effects: For motion graphics, animation, and video editing.
- Photoshop: For image manipulation and asset preparation.
- Illustrator: For graphic elements and vector work.
-
Generative AI Platforms: Extensive hands-on experience with leading text-to-video, text-to-image, and voice synthesis models. Specific mention of Veo 3, Kling, and Runway Gen-4 indicates these are of particular interest.
-
Prompt Engineering Tools/Interfaces: Experience with platforms or methods for advanced prompt crafting, including token weighting, negative prompting, LoRA fine-tuning, and style anchoring.
Analytics & Reporting:
CRM & Automation:
- Not directly specified for this role, but understanding how creative assets are deployed and tracked within marketing automation or CRM systems would be beneficial.
π Enhancement Note: The technology stack is heavily skewed towards creative production software and cutting-edge AI tools. The emphasis on specific generative AI models and prompt engineering techniques is a defining characteristic of this role's technical requirements.
π₯ Team Culture & Values
Operations Values:
-
High Output & Efficiency: A core value is the ability to produce at scale and optimize processes for maximum efficiency, reflecting the "operator" role.
-
Innovation & Experimentation: A culture that encourages exploring and integrating new technologies, especially AI, to drive creative performance.
-
Data-Driven Decision Making: Creative strategies and optimizations are grounded in performance data and measurable outcomes like ROAS.
-
Proactive Problem-Solving: Valuing individuals who identify issues, propose solutions, and drive initiatives without constant supervision.
-
Continuous Learning: A commitment to staying abreast of rapid advancements in AI, video production, and digital marketing trends.
Collaboration Style:
-
Asynchronous & Digital: Given the fully remote nature, collaboration heavily relies on digital tools and clear, concise communication, often asynchronously.
-
Results-Oriented: Interactions are focused on achieving campaign goals and improving creative performance.
-
Feedback-Rich: While efficient, the environment likely values constructive feedback to drive continuous improvement in creative output and processes.
-
Cross-Functional Partnership: Working effectively with marketing, product, and other teams to ensure creative aligns with broader business objectives.
π Enhancement Note: The company's emphasis on "voracious learners and passionate doers" and the "operator" nature of the role suggest a culture that thrives on initiative, continuous improvement, and a results-driven mindset, all within a remote-first framework.
β‘ Challenges & Growth Opportunities
Challenges:
-
Rapidly Evolving AI Landscape: Keeping pace with the constant advancements and changes in generative AI video tools requires continuous learning and adaptation.
-
Scaling Production: Developing and maintaining efficient workflows to produce a high volume of video ads consistently while maintaining quality can be demanding.
-
Balancing Speed and Quality: The need to ship quickly while ensuring creative elements are effective for performance marketing requires careful judgment and optimization.
-
Technical Integration: Effectively integrating new, sometimes experimental, AI tools into established production pipelines can present technical and workflow challenges.
-
Remote Collaboration: Maintaining strong communication and alignment with a distributed team across different time zones requires proactive effort.
Learning & Development Opportunities:
-
Deep Dive into Generative AI: Become an expert in the latest AI video generation technologies, prompt engineering, and their application in marketing.
-
Performance Marketing Creative Strategy: Enhance skills in designing and optimizing creative specifically for high-conversion digital advertising platforms.
-
Creative Operations & Automation: Gain experience in building and scaling creative production systems, potentially exploring automation opportunities.
-
Industry Trend Analysis: Develop a keen eye for emerging trends in both AI and digital marketing creative.
-
Portfolio Building: The paid project and ongoing work provide excellent opportunities to build a robust portfolio showcasing cutting-edge skills.
π Enhancement Note: This role is positioned at the forefront of AI in marketing, offering significant opportunities for skill development in a highly in-demand area, albeit with the inherent challenges of working with rapidly evolving technology.
π‘ Interview Preparation
Strategy Questions:
-
"Describe a time you had to quickly integrate a new AI tool into a production workflow. What were the challenges, and how did you overcome them?" (Focus on process, problem-solving, and efficiency.)
-
"How do you approach testing different creative variations for performance marketing? Can you walk me through an example where your creative adjustments led to a significant improvement in ROAS or conversion rates?" (Highlight data-driven approach and impact.)
-
"Given the rapid evolution of generative AI, how do you stay current with new models and techniques? What's your process for evaluating if a new tool is ready for production?" (Demonstrate proactive learning and critical assessment.)
Company & Culture Questions:
-
"Why are you interested in The Mind Company's mission of mental fitness, and how do you see your role contributing to it?" (Connect personal values with company mission.)
-
"This role requires working US hours while based in Costa Rica. How do you manage your schedule and maintain effective communication in a remote, cross-time-zone environment?" (Assess self-management and communication skills.)
Portfolio Presentation Strategy:
-
Lead with Impact: Start your portfolio review by highlighting your most successful projects with clear, quantifiable results (ROAS, CPA, etc.).
-
Deep Dive into AI: For AI-focused projects, explain your prompt engineering process in detail. Show examples of iterative prompt refinement and how you achieved specific visual or narrative outcomes.
-
Show, Don't Just Tell: Use visuals, short video clips, or interactive prototypes to demonstrate your skills. For Figma work, consider screen-sharing a clean file.
-
Narrative of Improvement: Frame your case studies as stories of problem-solving and optimization, emphasizing your "operator" approach.
-
Q&A Readiness: Be prepared to answer detailed questions about your technical choices, process decisions, and the impact of your work.
π Enhancement Note: Interview preparation should heavily focus on demonstrating practical application of AI tools in a performance marketing context, showcasing an "operator" mindset, and ability to work effectively in a remote, results-driven environment.
π Application Steps
To apply for this AI Video Marketing Designer (Contract) position:
-
Submit your application through the provided link on Ashby.
-
Tailor your Resume: Highlight experience with performance marketing, video ad production, specific AI tools (Figma, Adobe Creative Suite, After Effects, generative AI models), and any experience with prompt engineering or workflow optimization. Quantify achievements wherever possible.
-
Curate your Portfolio: Select 2-3 of your strongest projects that demonstrate your ability to produce high-performance video ads, integrate generative AI effectively, and showcase rapid prototyping skills. Ensure each project clearly outlines objectives, your process, tools used, and measurable results.
-
Prepare for Technical Questions: Be ready to discuss your expertise with the required software and AI technologies, particularly your knowledge of generative video models and prompt engineering techniques.
-
Research The Mind Company: Understand their mission, apps (Elevate, Balance, Spark), and target audience. Consider how your creative approach can best serve their goals.
-
Practice Your Presentation: Rehearse presenting your portfolio, focusing on clarity, conciseness, and highlighting your impact and operational efficiency.
β οΈ 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 expertise in Figma, Adobe Creative Suite, and After Effects alongside advanced knowledge of generative video models and prompt engineering. Candidates must be able to work US hours and demonstrate a strong understanding of multimodal models and production workflows.