AI Video Marketing Designer (Contract)

📍 Job Overview

Job Title: AI Video Marketing Designer (Contract)

Company: The Mind Company

Location: United States

Job Type: Full-Time Contract

Category: Marketing Operations / Creative Operations

Date Posted: 2026-06-08T00:00:00

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

Remote Status: Fully Remote

🚀 Role Summary

• This role is a high-output, operator-focused position responsible for the rapid production of performance video ads at significant scale.

• It requires a deep understanding of creative systems, generative AI video tools, and their application in performance marketing campaigns.

• The individual will be expected to constantly test, break, and integrate new AI tools into a sophisticated production pipeline.

• This position demands a strong focus on Return on Ad Spend (ROAS) targets and iterative improvement of creative assets.

📝 Enhancement Note: While the title is "AI Video Marketing Designer," the description strongly emphasizes an "operator" role focused on high-volume production and system optimization, rather than purely aesthetic design. This suggests a need for candidates who can blend creative execution with a data-driven, systems-thinking approach, aligning more with a "Creative Operations" or "Marketing Operations" function focused on creative asset delivery and performance. The contract nature and US hours requirement are critical for managing expectations.

📈 Primary Responsibilities

• Produce high-volume, performance-driven video advertisements for key advertising platforms such as Meta and AppLovin.

• Continuously research, test, and evaluate emerging generative video AI models (e.g., Veo 3, Kling, Runway Gen-4), identifying their strengths and weaknesses for specific use cases.

• Develop and refine AI-powered production workflows, integrating successful generative AI tools to create a more intelligent and efficient creative system.

• Execute advanced prompt engineering techniques across text-to-image, text-to-video, and voice synthesis to achieve desired creative outcomes and performance metrics.

• Optimize creative assets based on performance data and ROAS targets, iterating rapidly to improve conversion rates and campaign effectiveness.

• Design and build functional wireframes and prototypes quickly, prioritizing visual communication of concepts and potential performance drivers.

• Maintain pixel-level attention to design principles, including hierarchy, contrast ratios, and motion timing, to ensure creative effectiveness.

• Contribute to a culture of continuous learning and experimentation within the creative operations team.

📝 Enhancement Note: The core responsibility is the scalable production of performance video ads, heavily leveraging AI. This implies a need for efficiency, rapid iteration, and a deep understanding of what drives ad performance, not just creative aesthetics. The emphasis on "breaking them on purpose" highlights a proactive, experimental approach to AI tool integration.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a strong portfolio demonstrating practical application of design principles and AI tools is paramount. Equivalent experience and demonstrated expertise will be highly valued. Experience:

• 2-5 years of experience in video production, motion graphics, or creative design with a significant focus on performance marketing or digital advertising.

• Proven track record of producing high-volume creative assets, ideally within a fast-paced, iterative environment. Required Skills:

• Design Software Proficiency: Deep expertise in Figma, Adobe Creative Suite (Photoshop, Illustrator), and After Effects.

• Design Principles: Exceptional understanding of design principles, with the ability to articulate how layout, hierarchy, contrast, and motion timing impact conversion rates.

• Prototyping & Wireframing: Advanced skill in rapidly building functional wireframes and prototypes, particularly within Figma, to visualize and communicate creative concepts.

• Generative AI Video Expertise: Encyclopedic knowledge of current generative video models (e.g., Veo 3, Kling, Runway Gen-4), with a forward-looking perspective on their evolution.

• Prompt Engineering: Exceptional skills in prompt engineering for 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 limitations and how to build robust production workflows around them.

• Performance Marketing Acumen: Strong understanding of performance marketing metrics, particularly ROAS, and how creative assets contribute to campaign success.

• Communication: Ability to clearly articulate design rationale and AI model capabilities.

Preferred Skills:

• Experience with A/B testing creative variations.

• Familiarity with video ad platforms beyond Meta and AppLovin.

• Knowledge of AI model training and fine-tuning processes.

• Experience in a fully remote, contract-based work environment.

📝 Enhancement Note: The "Must-Have Skills" section in the original description is very specific and technical regarding AI models and prompt engineering. This is crucial for candidates to understand the depth of AI knowledge required, extending beyond basic usage to understanding underlying architectures and future trends. The emphasis on "zero-hand-holding operator" implies a high degree of autonomy and proactivity.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Volume & Scale: Demonstrate a portfolio showcasing the ability to produce a high volume of creative assets, particularly video ads.

• Performance Focus: Include case studies or examples where creative decisions demonstrably led to improved performance metrics (e.g., increased ROAS, higher conversion rates).

• AI Integration Examples: Showcase projects where generative AI tools were leveraged for video creation, prompt engineering, or workflow optimization.

• System Thinking: Present examples of how you've streamlined creative production processes, developed repeatable systems, or integrated new technologies into a workflow.

• Technical Proficiency: Clearly illustrate expertise in Figma, Adobe Creative Suite, and After Effects through project examples.

Process Documentation:

• Be prepared to discuss and demonstrate your personal workflow for ideation, prompt engineering, asset creation, and iteration using AI tools.

• Ability to articulate how you would document and systematize a production process for generative video ads to ensure consistency and scalability.

• Examples of how you have measured and reported on the efficiency and effectiveness of your creative processes.

📝 Enhancement Note: Given the role's emphasis on "creative systems" and "production system that gets smarter every sprint," a portfolio demonstrating process optimization and the integration of new technologies (specifically AI) will be critical. Candidates should be ready to showcase not just final assets but the process behind their creation and improvement.

💵 Compensation & Benefits

Salary Range:

• This is a contract position. Compensation will be commensurate with experience and expertise in AI generative video tools and performance marketing creative production. Based on the required skills, experience level (2-5 years), and the specialized nature of AI expertise, a competitive hourly rate or project-based fee is expected. For a highly skilled professional in the US, this could range from $50 - $90+ per hour, depending on the depth of AI model knowledge and proven track record in performance marketing. Benefits:

• As a contract position, standard employee benefits may not apply. However, potential benefits could include:

• Flexible working hours within US time zones.

• Opportunity to work with cutting-edge AI technology and contribute to innovative marketing campaigns.

• Direct impact on the performance of leading mental fitness apps.

• Potential for ongoing contract work based on performance and project needs.

• Highly autonomous work environment. Working Hours:

• Full-time (approximately 40 hours per week).

• Must be able to work US hours (EST, CST, or PST). This implies a need for availability during core business hours for collaboration, though specific daily schedules may offer flexibility.

📝 Enhancement Note: As this is a contract role, salary is typically negotiated hourly or project-based. The provided range is an estimate based on industry benchmarks for specialized contract roles requiring advanced AI and creative skills in the US market. Benefits are usually limited for contractors, but the opportunity for impactful work and autonomy are key selling points.

🎯 Team & Company Context

🏢 Company Culture

Industry: Mental Fitness / Health & Wellness Technology (Mobile Apps)

Company Size: The company description implies a growing, established tech company with a significant user base ("millions of people around the world"), likely in the 50-250 employee range, though specific numbers aren't provided.

Founded: The company has a portfolio of award-winning apps (Elevate, Balance, Spark), indicating established products and a history, likely founded several years ago. The company was founded in 2013.

Team Structure:

• The role operates within a fully remote company.

• The AI Video Marketing Designer will likely work closely with the marketing team, performance marketing managers, and potentially product development teams.

• Given the "operator" nature, there might be a dedicated creative operations or marketing operations function responsible for asset production and delivery.

• Cross-functional collaboration is expected, especially with teams focused on campaign performance and product growth. Methodology:

• Data-driven decision-making is central, with a focus on performance metrics like ROAS.

• A culture of rapid iteration and continuous improvement, particularly in creative assets and production systems.

• Emphasis on learning and experimentation, especially with new technologies like generative AI.

• Science-backed approach to product development (mental fitness apps).

Company Website: https://themindcompany.com/

📝 Enhancement Note: The company's mission in "mental fitness" and its award-winning apps suggest a mission-driven, innovative, and quality-focused organization. The "voracious learners and passionate doers" description highlights a culture that values proactivity, continuous improvement, and a deep engagement with their work.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level individual contributor with significant specialized technical and creative demands. It's an "operator" role emphasizing output and system optimization rather than strategic planning or team management.

Reporting Structure: Likely reports to a Marketing Manager, Head of Performance Marketing, or a Creative Operations Lead. The role is designed for autonomy, so direct oversight is expected to be minimal.

Operations Impact: The primary impact is on driving user acquisition and engagement through high-performing video ads. Success directly contributes to the company's growth targets and the reach of its mental fitness apps. The role is critical for scaling marketing efforts efficiently and effectively.

Growth Opportunities:

• Specialization: Deepen expertise in AI video generation, prompt engineering, and performance creative optimization, becoming a go-to expert in these niche areas.

• Process Development: Contribute significantly to building and refining the company's AI-driven creative production pipeline, potentially leading to more senior operational roles in creative ops or marketing ops.

• Project Expansion: Take on more complex projects, manage larger creative pipelines, or consult on AI strategy for other marketing functions.

• Long-Term Contract: Successful performance could lead to a long-term, stable contract engagement with The Mind Company.

📝 Enhancement Note: The growth here is less about traditional hierarchical advancement and more about deepening specialized expertise and increasing responsibility within the operational and creative technology domain. The emphasis is on becoming a highly valuable, autonomous contributor in a critical functional area.

🌐 Work Environment

Office Type: Fully remote. This offers maximum flexibility in terms of location within the United States.

Office Location(s): Remote within the United States. Candidates must be able to work US hours (EST, CST, or PST).

Workspace Context:

• A highly autonomous and self-directed work environment.

• Requires a dedicated home office setup with reliable internet and necessary software.

• Collaboration will primarily occur through digital communication tools (e.g., Slack, email, video conferencing).

• Access to cutting-edge AI tools and creative software will be provided or expected. Work Schedule:

• Full-time, approximately 40 hours per week.

• Flexibility in daily schedule is likely, as long as core US business hours are covered for collaboration and responsiveness.

• The nature of the role (high-output, operator) suggests a need for consistent availability and dedication to meeting production targets.

📝 Enhancement Note: The "fully remote" and "US hours" requirements are critical. Candidates must be comfortable with asynchronous communication and self-management while ensuring availability for synchronous collaboration when needed.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application, resume, and portfolio to assess core skills and experience.

• Technical/Creative Assessment: Likely a deep dive into AI knowledge, prompt engineering skills, and design tool proficiency. This could involve technical questions or a brief practical exercise.

• Portfolio Review & Case Study: A paid project will serve as the final interview step. This project will mirror the actual responsibilities of the role, involving the production of performance video ads using AI tools.

• Cultural Fit/Final Discussion: Discussion about approach to work, collaboration style, and alignment with company values.

Portfolio Review Tips:

• Showcase AI Proficiency: Clearly highlight projects where you've effectively used generative AI for video creation. Detail the models used, prompt strategies, and outcomes.

• Demonstrate Performance Acumen: Include examples where your creative work directly contributed to measurable business results (e.g., improved ROAS, engagement). Quantify impact whenever possible.

• Highlight Systems Thinking: Present how you've streamlined creative processes, established efficient workflows, or leveraged technology to scale production.

• Quality & Quantity: Balance the demonstration of high-volume output with pixel-level design quality and technical precision.

• Figma & Adobe Mastery: Ensure examples clearly showcase your command of Figma, Adobe Creative Suite, and After Effects.

• Conciseness: Be prepared to walk through your portfolio efficiently, focusing on the most relevant and impactful projects.

Challenge Preparation:

• AI Tool Familiarity: Be ready to discuss your experience with specific generative AI video models, their current capabilities, and their future trajectory.

• Prompt Engineering Practice: Practice crafting effective prompts for various video scenarios, including text-to-video, style transfer, and character animation.

• Performance Metrics: Understand how to tie creative output directly to ROAS and other key performance indicators.

• Workflow Design: Be prepared to outline how you would set up a scalable AI-driven video production workflow.

• Problem-Solving: Think about potential challenges in AI video generation (e.g., consistency, artifacts, ethical considerations) and how you would address them.

📝 Enhancement Note: The "paid project" as the final interview step is a significant indicator of the company's commitment to assessing practical skills. Candidates should treat this as a real work assignment and invest the necessary effort to showcase their capabilities comprehensively.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Motion: Figma, Adobe Creative Suite (Photoshop, Illustrator), Adobe After Effects.

• AI Video Generation Models: Deep knowledge and hands-on experience with current leading models such as Veo 3, Kling, Runway Gen-4, and others.

• Prompt Engineering Frameworks: Proficiency in advanced prompt engineering techniques.

• AI Model Understanding: Familiarity with LLMs, multimodal models, and embedding pipelines.

Analytics & Reporting:

• While not directly managing campaigns, understanding how to interpret performance data (ROAS, conversion rates) from platforms like Meta and AppLovin is crucial for creative optimization.

• Familiarity with A/B testing frameworks for creative variations. CRM & Automation:

• Not explicitly mentioned, but understanding how creative assets are deployed and tracked within marketing automation or campaign management systems could be beneficial.

• Potential integration with project management tools for workflow tracking.

📝 Enhancement Note: The tool stack is heavily weighted towards creative software and, critically, a deep and current understanding of generative AI video models and prompt engineering. This is a highly specialized technical requirement.

👥 Team Culture & Values

Operations Values:

• High Output & Proactivity: A drive to produce at scale and to anticipate needs and challenges ("ships before they're asked," "zero-hand-holding operator").

• Data-Driven Performance: A focus on measurable results, particularly ROAS, treating targets as personal challenges.

• Continuous Learning & Experimentation: A commitment to staying at the forefront of AI technology and integrating new tools into production systems.

• Efficiency & Optimization: A passion for building smarter, more efficient creative systems and workflows.

• Mission Alignment: Belief in the importance of mental fitness and the company's mission to bring it to every mind.

Collaboration Style:

• Autonomous yet Collaborative: Expected to work independently but be responsive and collaborative when needed, especially within a remote setting.

• Results-Oriented: Focus on achieving campaign objectives and delivering high-performing creative assets.

• Experimental: Open to trying new approaches and tools, with a willingness to learn from failures.

• Direct Communication: Clear and concise communication, especially regarding technical capabilities and project status.

📝 Enhancement Note: The company's explicit commitment to Diversity, Equity, & Inclusion (DEI) should also be noted as a key cultural value. This suggests an inclusive environment that values diverse perspectives and backgrounds.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in generative AI video technology and identifying the most effective tools for performance marketing.

• Scalability & Consistency: Maintaining high quality and consistency in video ad production at a significant scale, especially with AI-generated content.

• Performance Optimization: Continuously adapting creative strategies to meet demanding ROAS targets and evolving platform algorithms.

• Technical Integration: Successfully integrating new and experimental AI tools into an existing or developing production pipeline.

• Remote Collaboration: Effectively collaborating and communicating within a fully remote team environment.

Learning & Development Opportunities:

• Cutting-Edge AI Expertise: Becoming a leader in the application of generative AI for marketing, developing highly sought-after skills.

• Performance Creative Specialization: Deepening expertise in what drives conversion and engagement through video advertising.

• Systems Development: Contributing to the creation of scalable, efficient creative production systems.

• Exposure to Leading Apps: Working with award-winning products in the mental fitness space.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering the intersection of advanced AI technology, creative design, and performance marketing. This role offers a chance to become an expert in a rapidly growing and critical field.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for evaluating and integrating a new generative AI video model into a performance marketing workflow. What criteria do you use?"

• "How do you balance the need for rapid iteration and high volume with maintaining design quality and brand consistency in video ads?"

• "Walk us through a specific example where your prompt engineering skills significantly improved the performance of a video ad. What was your approach, and what were the results?"

• "Given the rapid pace of AI development, how do you ensure your knowledge and skills remain current?"

• "Describe a time you 'broke' a tool or system to understand its limitations. What did you learn, and how did it inform your subsequent work?" Company & Culture Questions:

• "What interests you about The Mind Company's mission and products?"

• "How do you approach working autonomously in a remote environment?"

• "How do you define success in a role focused on performance creative production?"

• "What are your thoughts on diversity, equity, and inclusion in creative teams and output?" Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio to clearly showcase your AI expertise, design skills, and performance results. Consider sections for "AI-Powered Projects," "Performance Marketing Campaigns," and "Design & Technical Proficiency."

• Quantify Results: For each relevant project, provide specific metrics (e.g., ROAS improvement, conversion lift, engagement increase).

• Explain Your Process: For AI projects, detail the models used, prompt engineering strategies, and any system optimizations you implemented. For design projects, explain your rationale behind key decisions.

• Demonstrate Tool Proficiency: Be ready to briefly show how you use Figma, After Effects, and your AI tools to achieve your results.

• Focus on the Paid Project: Understand that the paid project is your primary showcase. Prepare to present it thoroughly, explaining your decisions, challenges, and outcomes.

📝 Enhancement Note: Preparation should focus on demonstrating a unique blend of technical AI knowledge, creative execution, and a strong, data-driven marketing mindset. The ability to articulate complex AI concepts and their practical application to business goals will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Ashby link.

• Tailor Your Resume: Emphasize experience with generative AI tools, performance marketing creative production, and proficiency in Figma, Adobe Creative Suite, and After Effects. Quantify achievements related to ROAS, scale, or efficiency.

• Curate Your Portfolio: Ensure your portfolio prominently features AI-driven video projects, performance marketing case studies, and clear demonstrations of your design and technical skills. Be ready to explain your process and results for each piece.

• Prepare for the Paid Project: Understand that a paid project is the final interview stage. Dedicate sufficient time to this assignment to showcase your skills comprehensively.

• Research The Mind Company: Familiarize yourself with their mission, apps (Elevate, Balance, Spark), and company values, particularly their commitment to mental fitness and DEI.

⚠️ 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. The contract nature and specific US hours requirement are critical for candidates to consider.