AI Video Marketing Designer (Contract)

📍 Job Overview

Job Title: AI Video Marketing Designer (Contract)

Company: The Mind Company

Location: Mexico

Job Type: FULL_TIME

Category: Marketing Operations / Creative Operations

Date Posted: 2026-05-30T00:00:00

Experience Level: 2-5 Years

Remote Status: Remote Solely

🚀 Role Summary

• This is a high-output, independent 'operator' role focused on the production of performance video ads at scale, leveraging generative AI tools.

• Responsible for constantly evaluating and integrating new AI video technologies to optimize creative systems and improve Return on Ad Spend (ROAS).

• Requires a deep understanding of design principles specifically as they relate to conversion metrics and user engagement on platforms like Meta and AppLovin.

• The role demands rapid prototyping and a proactive approach to problem-solving, treating creative system development as a continuous sprint.

📝 Enhancement Note: While the title is "AI Video Marketing Designer," the description emphasizes "operator" and "high-output" characteristics, suggesting a role that is less about traditional artistic design and more about efficient, data-driven creative production and system optimization within a marketing context. This leans towards a hybrid of creative operations and marketing operations.

📈 Primary Responsibilities

• Produce high-volume, performance-driven video advertisements for digital platforms, including Meta (Facebook/Instagram) and AppLovin, with a strong focus on ROAS.

• Continuously research, test, and integrate emerging generative video AI models (e.g., Veo 3, Kling, Runway Gen-4) into existing production workflows.

• Develop and refine prompt engineering strategies across text-to-image, text-to-video, and voice synthesis to achieve desired creative outcomes and performance benchmarks.

• Design and build functional wireframes and prototypes rapidly using tools like Figma, ensuring clarity and efficiency for downstream production.

• Maintain pixel-level attention to design principles, including hierarchy, contrast ratios, and motion timing, specifically to enhance conversion rates.

• Collaborate with the marketing team to understand campaign objectives, target audiences, and performance metrics, translating insights into creative output.

• Document and optimize production systems, focusing on automation, efficiency, and the continuous improvement of creative output quality and speed.

📝 Enhancement Note: The core responsibilities are heavily weighted towards production efficiency, AI tool mastery, and performance optimization, aligning with a GTM/Marketing Operations focus on scaling creative output for paid acquisition channels.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating practical application of design principles and AI tools is paramount. Candidates with backgrounds in graphic design, digital media, marketing, or related fields will find their skills transferable.

Experience: 2-5 years of hands-on experience in video production, digital advertising creative, or a related field, with a significant portion focused on performance marketing creative. Proven experience working with AI-generated content and understanding its application in marketing.

Required Skills:

• Deep expertise with Figma, Adobe Creative Suite (Photoshop, Illustrator), and After Effects.

• Exceptional understanding of design principles and their impact on conversion rates, including hierarchy, layout, color theory, and motion timing.

• Proven ability to rapidly build functional wireframes and prototypes, with a preference for clear, organized Figma files.

• Encyclopedic knowledge of current generative video AI models and a strong POV on their future evolution and application in marketing.

• Advanced prompt engineering skills for text-to-image, text-to-video, and voice synthesis, including token weighting, negative prompting, LoRA fine-tuning, and style anchoring.

• Fluent understanding of LLMs, multimodal models, and embedding pipelines, including their limitations and how to build production workflows around them.

• Experience in producing high-output performance video ads for major advertising platforms like Meta and AppLovin.

Preferred Skills:

• Experience with A/B testing creative variations to optimize performance.

• Familiarity with marketing analytics platforms and ROAS tracking.

• Knowledge of video editing best practices for mobile consumption.

• Understanding of creative system design and automation principles.

• Experience with voice synthesis tools and audio editing.

📝 Enhancement Note: The emphasis on specific AI models and prompt engineering clearly indicates a need for cutting-edge technical skills beyond standard design software. The experience level suggests a candidate who can operate independently and contribute significantly without extensive oversight.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A robust portfolio showcasing a minimum of 10-15 distinct performance video ad campaigns or creative concepts, ideally with measurable results (e.g., ROAS, CPI, CTR improvements).

• Detailed case studies for at least 3-5 key projects, highlighting the problem, your specific approach (especially AI integration), the process followed, and the quantifiable impact.

• Demonstrations of rapid prototyping capabilities, including examples of Figma wireframes and interactive prototypes that clearly articulate creative direction.

• Evidence of proficiency in applying design principles to drive conversion, with examples explaining the rationale behind design choices.

Process Documentation:

• Examples of how you have documented and optimized creative production workflows, focusing on efficiency, scalability, and the integration of AI tools.

• Case studies detailing the systematic approach to testing and integrating new generative video models or AI technologies into a production pipeline.

• Demonstrations of how you translate campaign objectives and performance data into actionable creative strategies and iterated designs.

• Evidence of creating and maintaining design systems or style guides that ensure brand consistency and facilitate rapid creative iteration at scale.

📝 Enhancement Note: Given the "operator" nature of the role and the focus on AI and scale, the portfolio must emphasize process, efficiency, and measurable results, not just aesthetic quality. The inclusion of AI-specific work is critical.

💵 Compensation & Benefits

Salary Range: As this is a contract position based in Mexico requiring US hours, the compensation will likely be benchmarked against US contract rates for similar roles, adjusted for the local market. We estimate a range of $35 - $60 USD per hour, depending on experience and specific skill set. This translates to an annual equivalent of approximately $72,800 - $124,800 USD for a full-time, year-round contract.

Benefits:

• Fully remote work environment, offering flexibility and work-life balance.

• Opportunity to work with cutting-edge AI technologies and shape the future of video marketing creative.

• Direct impact on campaign performance and company growth through high-volume creative output.

• Collaboration with a passionate team dedicated to mental fitness and innovation.

• Paid project as part of the final interview stage, reflecting the real work and compensation of the role.

• Professional development opportunities through continuous learning and experimentation with new AI tools.

Working Hours: This is a FULL_TIME contract position requiring adherence to US business hours, specifically EST, CST, or PST. This typically means approximately 40 hours per week, with flexibility on exact scheduling within those time zones to accommodate team collaboration and project deadlines.

📝 Enhancement Note: Salary estimation is based on typical contract rates for specialized creative/operations roles in tech, adjusted for the remote-first nature and the specific skills required. The location in Mexico is noted, but the requirement for US hours and the nature of contract work often align compensation with US market standards for similar remote roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Mental Fitness Technology / Digital Wellness. The Mind Company operates in a growing and impactful sector, leveraging technology to improve cognitive skills and mental well-being through its suite of award-winning apps (Elevate, Balance, Spark). This industry requires a blend of scientific rigor, user-centric design, and innovative marketing.

Company Size: The Mind Company is described as a "fully remote company of voracious learners and passionate doers." While specific numbers aren't provided, this suggests a dynamic, potentially mid-sized to growing organization where individual contributions are highly visible. Operations professionals here can expect to be key players in scaling processes.

Founded: The company has a portfolio of established apps (Elevate, Balance, Spark), indicating a history of product development and market presence. This suggests a company that is past the initial startup phase and is focused on growth and optimization.

Team Structure:

• The role operates within a marketing or growth team, likely collaborating closely with performance marketers, ASO specialists, and other creative roles.

• As an independent operator, direct reporting lines might be to a Marketing Lead or Head of Growth, with significant autonomy in daily tasks.

Methodology:

• Data-Driven Creative: Emphasis on using performance data (ROAS, CPI, etc.) to inform and iterate on creative assets.

• AI-First Approach: A proactive stance on leveraging generative AI for creative production, focusing on efficiency, scale, and innovation.

• Iterative Development: A "sprint" mentality for creative system development, encouraging constant testing, learning, and improvement.

• Outcome-Oriented: Focus on tangible results and achieving specific marketing objectives rather than just creative output.

Company Website: https://themindcompany.com/

📝 Enhancement Note: The company's focus on mental fitness and its use of award-winning apps suggest a mission-driven culture. The "voracious learners and passionate doers" description implies a high-performance environment that values initiative and continuous improvement, particularly relevant for an operator role.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced individual contributor, likely mid-level (2-5 years), focusing on specialized execution within marketing operations and creative production. It's an "operator" role, meaning it requires self-sufficiency, a strong execution mindset, and the ability to manage complex systems and tools independently.

Reporting Structure: The role is likely to report to a Marketing Manager, Performance Marketing Lead, or Head of Growth. While there might be direct reports in a more senior role, this position is focused on individual contribution and operational excellence. Collaboration will be key with performance marketing teams.

Operations Impact: The impact of this role is direct and measurable on the company's user acquisition efforts. By producing high-performing video ads at scale, the AI Video Marketing Designer will directly influence customer acquisition costs (CAC), return on ad spend (ROAS), and overall user growth for The Mind Company's suite of apps. This role is critical for scaling paid marketing channels effectively.

Growth Opportunities:

• Specialization in AI Creative: Deepen expertise in generative AI tools and prompt engineering, becoming a go-to expert in AI-driven video marketing.

• System Optimization Leadership: Transition into roles focused on building and managing more complex creative operations systems and automation pipelines.

• Performance Marketing Strategy: Develop a stronger understanding of paid user acquisition strategies, moving from pure execution to strategic input.

• Potential for Team Lead: With proven success and leadership in system development, there could be opportunities to lead a small team of creative operators or AI specialists as the company scales.

• Cross-functional Exposure: Gain insights into product development and marketing analytics, broadening overall business understanding.

📝 Enhancement Note: The growth path here is likely towards becoming a subject matter expert in AI-driven marketing creative and operations, with potential to lead specialized teams or influence broader marketing strategies based on creative performance insights.

🌐 Work Environment

Office Type: This is a 100% remote position, meaning there is no central office to report to. The work environment is entirely virtual.

Office Location(s): The company is based in Mexico, but the role is fully remote and requires candidates to work within US time zones (EST, CST, or PST). This implies flexibility in the candidate's specific location within Mexico, as long as they can reliably connect and work during the specified US hours.

Workspace Context:

• Virtual Collaboration: The primary mode of interaction will be through digital communication tools (e.g., Slack, Zoom, email).

• Technology-Centric: Access to and proficiency with a range of digital tools for design, AI, project management, and communication is essential. The company likely invests in its tech stack to support remote operations.

• Independent Work Focus: The environment is designed for self-starters who can manage their time and tasks effectively without constant oversight. The "zero-hand-holding operator" description highlights this.

• Fast-Paced: The emphasis on high output, continuous testing, and iterative improvement suggests a dynamic and demanding work rhythm.

Work Schedule: Approximately 40 hours per week, aligned with US Eastern, Central, or Pacific time zones. This allows for collaboration with US-based teams while maintaining the flexibility of a remote role.

📝 Enhancement Note: The remote-first, US-hours requirement is a key characteristic. Candidates must be comfortable with virtual collaboration and demonstrating productivity independently.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, resume, and portfolio for technical skills, relevant experience, and alignment with the "operator" mindset.

• Technical/Skills Assessment: This may involve a deep dive into your portfolio, prompt engineering examples, and discussions about your experience with specific AI tools and design software. You might be asked to articulate your design rationale for conversion.

• Paid Project: The final stage involves a paid project designed to simulate the actual work of the role. This is a critical opportunity to demonstrate your ability to produce high-quality, high-volume creative under real-world constraints and to showcase your AI and prompt engineering skills.

• Final Interview: A discussion with the hiring manager or relevant team lead to assess cultural fit, problem-solving approach, and overall suitability for the independent operator role.

Portfolio Review Tips:

• Quantify Everything: For each piece in your portfolio, clearly state the objective, your role, the tools/AI used, the process, and most importantly, the measurable results (e.g., "Increased ROAS by X%", "Achieved Y% CTR").

• Showcase AI Mastery: Dedicate a section or prominent examples to your work with generative AI. Include prompt examples, explain your strategy, and show how you iterated to achieve optimal results. Highlight your knowledge of specific models like Veo 3, Kling, and Runway.

• Demonstrate Operator Mindset: Include examples of how you've optimized workflows, scaled production, or solved operational challenges in creative production. Focus on efficiency and output.

• Figma Prototypes: Ensure your Figma files are well-organized and that you can quickly demonstrate wireframes and prototypes, explaining the design logic behind them, especially concerning conversion.

• Conciseness and Clarity: Present your portfolio in a clear, easy-to-navigate format. Be prepared to walk through it efficiently, focusing on the most impactful projects.

Challenge Preparation:

• AI Tool Familiarity: Be ready to discuss the latest generative AI video models, their strengths, weaknesses, and future trends. Articulate your POV on which models are best for specific use cases.

• Prompt Engineering Depth: Prepare to discuss advanced prompt engineering techniques, including token weighting, negative prompting, LoRA fine-tuning, and style anchoring.

• Design for Conversion: Be able to articulate the principles of conversion-focused design and how you apply them to video ads.

• Operational Efficiency: Think about how you would build and scale a creative production system using AI. Be ready to discuss process optimization and automation strategies.

• US Hours Adaptability: Confirm your ability and willingness to work within EST, CST, or PST time zones.

📝 Enhancement Note: The paid project is a significant part of the hiring process, so candidates should treat it as a prime opportunity to showcase their skills and fit. The portfolio must be results-oriented and demonstrate AI expertise.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, prototyping, and potentially final asset creation.

Proficiency in creating clean, organized files for rapid iteration is key.

• Adobe Creative Suite: Deep expertise required in:

  • After Effects: For motion graphics, animation, and video editing.
  • Photoshop: For image manipulation, asset creation, and design mockups.
  • Illustrator: For vector graphics and asset creation.

• Generative AI Video Models: Extensive and up-to-date knowledge of models such as Veo 3, Kling, Runway Gen-4, and others. Candidates are expected to be ahead of the curve here.

• Prompt Engineering Platforms: Familiarity with interfaces and techniques for advanced prompt creation across various AI models.

• Voice Synthesis Tools: Experience with AI-powered voice generation for video ads.

Analytics & Reporting:

• Performance Marketing Platforms: Proficiency with platforms like Meta Ads Manager and AppLovin is crucial for understanding ad performance and iterating on creative.

• ROAS Tracking Tools: Understanding how to track and interpret Return on Ad Spend is fundamental to the role's success.

• Data Visualization Tools (Potentially): While not explicitly stated, familiarity with tools that can help visualize creative performance trends might be beneficial.

CRM & Automation:

• Project Management Software: Likely to use tools like Asana, Trello, Jira, or similar for task management and workflow tracking, given the high-volume nature of the work.

• Communication Platforms: Slack, Zoom, Google Workspace (Docs, Sheets) are standard for remote collaboration.

📝 Enhancement Note: The technology stack is heavily skewed towards creative production tools and cutting-edge AI technologies. The emphasis on generative video models and prompt engineering is a defining characteristic of this role's technical requirements.

👥 Team Culture & Values

Operations Values:

• Proactive Ownership: Taking initiative, anticipating needs, and driving projects forward without constant supervision ("operator" mindset).

• Data-Driven Decision Making: Relying on performance metrics and analytics to inform creative choices and optimize campaigns.

• Continuous Improvement: A commitment to learning, testing, and refining processes and creative output.

• Efficiency & Scale: A focus on producing high volumes of quality creative assets quickly and cost-effectively.

• Innovation & Experimentation: Embracing new technologies, especially AI, and actively experimenting to find better solutions.

Collaboration Style:

• Independent yet Connected: While the role emphasizes independent work, effective communication and collaboration with performance marketing teams are vital for understanding campaign goals and receiving feedback.

• Results-Oriented Dialogue: Communication will likely focus on performance metrics, A/B test results, and actionable insights for creative improvement.

• Knowledge Sharing: A culture that encourages sharing learnings about new AI tools, prompt engineering techniques, and effective creative strategies.

• Feedback Integration: Openness to receiving and acting on constructive feedback from marketing stakeholders to drive better campaign outcomes.

📝 Enhancement Note: The culture values self-starters who are results-driven and eager to leverage new technologies. The "operator" archetype implies a no-nonsense, execution-focused approach.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in generative AI models and tools requires continuous learning and adaptation.

• Balancing Scale and Quality: Producing high volumes of video ads while maintaining brand consistency and performance impact can be demanding.

• AI Model Limitations: Working within the current constraints of AI generation and finding creative workarounds to achieve desired outcomes.

• Performance Pressure: Meeting aggressive ROAS targets and demonstrating clear ROI for creative output.

• Remote Collaboration Dynamics: Ensuring effective communication and alignment in a fully remote, asynchronous environment.

Learning & Development Opportunities:

• Mastery of AI Creative Tools: Becoming a leading expert in generative AI for video marketing.

• Advanced Prompt Engineering: Developing sophisticated prompt engineering skills for nuanced creative control.

• Creative System Design: Gaining experience in building scalable, AI-powered creative production pipelines.

• Performance Marketing Insights: Deepening understanding of paid user acquisition strategies and optimization techniques.

• Industry Trend Analysis: Staying at the forefront of digital marketing and AI innovation.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering the rapidly evolving AI landscape and translating that mastery into tangible marketing results.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for evaluating and integrating a new generative AI video model into a production workflow. What metrics do you prioritize?"

• "How do you balance the need for rapid creative iteration at scale with maintaining brand consistency and high performance?"

• "Walk us through a specific instance where you used prompt engineering to overcome a limitation in an AI video generation model. What was the outcome?"

• "What is your current perspective on the future of AI in video advertising, and which models do you believe will be most impactful in the next 6-12 months?"

Company & Culture Questions:

• "Why are you interested in The Mind Company and our mission of mental fitness?"

• "How do you define an 'operator' role, and how does your experience align with that?"

• "Describe your experience working in a fully remote, high-output environment. How do you manage your time and stay motivated?"

Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio to lead with your strongest, most results-driven projects, especially those involving AI.

• Quantify Results: For each case study, clearly state the problem, your solution (detailing AI use), and the quantifiable results (e.g., ROAS, CTR, CPI). Use numbers to tell your story.

• Demonstrate AI Workflow: Be prepared to show examples of your prompt engineering, the AI outputs, and how you iterated or integrated them into final assets. Explain your strategic choices.

• Figma Walkthrough: Be ready to quickly share your screen and navigate a Figma file, explaining wireframe logic and prototype functionality related to conversion.

• Concise Storytelling: Practice delivering concise explanations of your projects, focusing on your contribution and the impact. Avoid jargon where possible, but be ready to discuss technical aspects of AI and design.

📝 Enhancement Note: Interview preparation should focus on demonstrating how you embody the "operator" persona, your deep technical knowledge of AI, and your ability to drive measurable marketing results.

📌 Application Steps

To apply for this AI Video Marketing Designer position:

• Submit your application through the provided Ashby link, ensuring your resume and portfolio are clearly accessible.

• Curate Your Portfolio: Tailor your portfolio to highlight your experience with performance video ads, generative AI tools (especially video), prompt engineering, and Figma. Emphasize quantifiable results and case studies demonstrating your "operator" mindset.

• Optimize Your Resume: Ensure your resume clearly articulates your proficiency with Figma, Adobe Creative Suite, After Effects, and your specific experience with AI models like Veo 3, Kling, and Runway. Highlight achievements related to ROAS, scale, and process optimization.

• Prepare for the Paid Project: Understand that a paid project is a significant part of the hiring process. Be ready to dedicate time to this task and treat it as your primary opportunity to showcase your skills and fit.

• Research The Mind Company: Familiarize yourself with their apps (Elevate, Balance, Spark) and their mission. Understand their target audience and how creative marketing contributes to their growth. Be prepared to discuss how your skills align with their goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with The Mind Company before making application decisions.