AI Video Marketing Designer (Contract)
π Job Overview
Job Title: AI Video Marketing Designer (Contract)
Company: The Mind Company
Location: Puerto Rico, United States
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
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This role is central to the marketing team's performance, focusing on high-volume, data-driven video ad creation for key mobile advertising platforms.
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The position demands a blend of creative design expertise and a strong operational mindset, treating creative assets as products to be optimized for Return on Ad Spend (ROAS).
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Candidates will be expected to proactively explore, test, and integrate cutting-edge generative AI video tools into an evolving production pipeline.
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This is an operator-centric role requiring significant autonomy, proactive problem-solving, and a results-oriented approach to creative production.
π Enhancement Note: While the title is "AI Video Marketing Designer," the description strongly indicates a hybrid role that bridges creative design with marketing operations. The emphasis on "high-output, zero-hand-holding operator role," "creative systems," "ships before they're asked," and "ROAS target like a personal challenge" points towards a need for operational efficiency and performance measurement in creative delivery. The role is less about traditional brand design and more about performance marketing creative production at scale.
π Primary Responsibilities
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Produce high-volume, performance-oriented video ad creative assets for major advertising platforms, including but not limited to Meta (Facebook/Instagram) and AppLovin.
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Continuously research, evaluate, and pressure-test emerging generative video AI tools (e.g., Veo 3, Kling, Runway Gen-4) to identify their potential for scalable video ad production.
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Develop and refine production workflows and systems that integrate AI tools, optimizing for speed, efficiency, and creative output.
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Implement advanced prompt engineering techniques across text-to-image, text-to-video, and voice synthesis models to achieve specific creative objectives and performance targets.
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Utilize deep knowledge of LLMs, multimodal models, and embedding pipelines to troubleshoot, iterate, and build robust production workflows, understanding their limitations.
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Collaborate cross-functionally with marketing and product teams to align creative production with campaign goals, ROAS targets, and user acquisition strategies.
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Maintain pixel-level attention to design principles, including hierarchy, contrast ratios, and motion timing, ensuring creative assets are not only visually appealing but also conversion-optimized.
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Translate functional wireframes and prototypes into polished video assets, demonstrating a bias for action and a strong ability to "show over telling."
π Enhancement Note: The responsibilities are framed around "production systems," "testing and integrating," and "scaling," which are core operational concepts. The expectation to "constantly pressure-test new generative video tools" and "break them on purpose" highlights a proactive, experimental, and iterative approach to operations and process improvement within the creative domain.
π Skills & Qualifications
Education:
Experience:
- 2-5 years of direct experience in video design, motion graphics, or performance creative production, with a significant portion focused on digital advertising platforms.
Required Skills:
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Deep expertise in industry-standard design and video editing software: Figma, Adobe Creative Suite (Photoshop, Illustrator), and After Effects.
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Exceptional eye for design principles and their impact on conversion rates, including detailed understanding of hierarchy, contrast ratios, and motion timing.
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Proficiency in building functional wireframes and prototypes rapidly, with a preference for visual demonstration (e.g., clean Figma files).
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Encyclopedic knowledge of current generative video models (e.g., Veo 3, Kling, Runway Gen-4) and a strong, informed perspective on their use cases and future evolution.
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Advanced prompt engineering skills for text-to-image, text-to-video, and voice synthesis, including techniques like token weighting, negative prompting, LoRA fine-tuning, and style anchoring.
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Fluent understanding of Large Language Models (LLMs), multimodal models, and embedding pipelines, including their limitations and how to build production workflows around them.
Preferred Skills:
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Experience with mobile advertising platforms such as Meta Ads Manager and AppLovin.
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Familiarity with A/B testing methodologies for creative assets.
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Basic understanding of video analytics and performance reporting to inform creative iteration.
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Experience with AI-powered video editing or enhancement tools beyond core generative models.
π Enhancement Note: The required skills list is highly specific and technical, reflecting the advanced nature of AI and prompt engineering. The emphasis on "encyclopedic knowledge" and "sharp POV" suggests a need for candidates who are not just users but experts and thought leaders in the generative AI video space, aligning with an "operator" role that drives innovation.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A curated collection of performance video ad examples, specifically showcasing work for mobile advertising platforms (Meta, AppLovin, etc.).
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Demonstrations of how design principles (hierarchy, motion, timing) were leveraged to drive specific conversion metrics or ROAS improvements.
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Case studies or examples detailing the process of integrating new AI tools or technologies into a creative workflow.
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Evidence of rapid prototyping and iteration, showcasing the ability to quickly translate concepts into functional designs.
Process Documentation:
- Candidates are expected to articulate their process for creative system development, including:
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Workflow design and optimization for high-volume video production.
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Methods for testing, integrating, and scaling AI-driven creative generation.
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Strategies for measuring and improving the efficiency and effectiveness of creative processes.
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π Enhancement Note: The portfolio requirements are heavily geared towards demonstrating operational efficiency and measurable results, rather than just aesthetic quality. The emphasis on "process documentation" and "workflow design" underscores the need for an operations-minded candidate who can not only create but also systemize and improve creative output.
π΅ Compensation & Benefits
Salary Range:
Benefits:
- As a contract role, standard employee benefits may not apply. However, potential benefits often include:
- Flexible work schedule and location (fully remote).
- Opportunity to work with cutting-edge AI technologies and contribute to award-winning mental fitness apps.
- Potential for long-term engagement or conversion to a full-time role based on performance.
- Exposure to high-impact performance marketing campaigns.
Working Hours:
- Minimum of 40 hours per week, with flexibility to work within US business hours (EST, CST, or PST) to facilitate collaboration with the team.
π Enhancement Note: Salary is estimated based on the contract nature of the role, the specialized AI and design skills required, the mid-level experience indicated, and the location (Puerto Rico, which generally aligns with US compensation benchmarks for remote roles but may have slight adjustments based on local cost of living, though this role is remote and likely paid in USD). The focus is on hourly/project rates common for contract positions.
π― Team & Company Context
π’ Company Culture
Industry: Mental Fitness Technology / Mobile Applications
Company Size: The Mind Company is a growing organization, likely falling into the "50-200 employees" or "201-500 employees" range based on its portfolio of award-winning apps and global reach. This size suggests a dynamic environment with established processes but still room for individual impact and innovation.
Founded: The company was founded with a clear mission to make mental fitness accessible. The founding date is not explicitly stated but the description implies a mature company with multiple successful apps (Elevate, Balance, Spark) that have achieved significant recognition.
Team Structure:
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The AI Video Marketing Designer will likely be part of a broader Marketing or Growth team.
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This team probably includes specialists in performance marketing, data analysis, creative strategy, and potentially other operations roles.
Methodology:
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Data-driven decision-making is paramount, with a strong emphasis on performance metrics like ROAS.
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A culture of continuous learning and experimentation, particularly with new AI technologies, is explicitly encouraged.
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Iterative development and rapid deployment of creative assets are key to staying competitive in the app marketing space.
Company Website: https://themindcompany.com/
π Enhancement Note: The company culture is described as "fully remote," "voracious learners," and "passionate doers." The emphasis on "caring for your mind" as a core value suggests a supportive and forward-thinking workplace, even within a high-performance operational context. The commitment to DEI is also a significant cultural indicator.
π Career & Growth Analysis
Operations Career Level: Mid-Level (2-5 years experience). This role is positioned as a key contributor within the performance marketing creative function. It offers significant autonomy and responsibility for a critical operational output β scalable, high-performance video ads.
Reporting Structure: The AI Video Marketing Designer will likely report to a Marketing Manager, Head of Performance Marketing, or a Creative Operations Lead. The role is expected to be independent, requiring minimal direct supervision on daily tasks but close alignment on strategic goals.
Operations Impact: The work directly impacts user acquisition, customer lifetime value (CLTV), and overall return on ad spend (ROAS). By producing effective, scalable creative, this role is crucial for the company's growth and profitability in the competitive app market.
Growth Opportunities:
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Skill Specialization: Deepen expertise in AI-driven creative generation, prompt engineering, and performance marketing creative strategies.
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Process Leadership: Potentially lead the development and optimization of creative production systems and workflows as generative AI capabilities expand.
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Cross-Functional Expansion: Gain exposure to broader marketing strategy, product development, and user acquisition analytics.
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Full-Time Conversion: Excellent performance in this contract role could lead to opportunities for full-time employment with a more comprehensive benefits package.
π Enhancement Note: The growth analysis focuses on the unique blend of creative and operational skills. The "operator" aspect suggests a path towards leading creative operations or optimizing marketing technology stacks, leveraging AI expertise.
π Work Environment
Office Type: Fully remote, company-wide. This implies a distributed workforce operating across different time zones.
Office Location(s): The company operates remotely, with a primary focus on candidates able to work within US business hours and located in Puerto Rico.
Workspace Context:
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The workspace is virtual, relying heavily on digital communication and collaboration tools.
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Access to robust internet connectivity and a suitable home office setup is essential.
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The environment fosters self-discipline, proactive communication, and a strong sense of ownership over tasks and projects.
Work Schedule:
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Full-time, approximately 40 hours per week.
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Requires flexibility to align with US business hours (EST, CST, or PST) for effective team collaboration and real-time problem-solving. This is crucial for an operational role that may require rapid adjustments to campaigns.
π Enhancement Note: The remote nature emphasizes the need for strong self-management, communication skills, and comfort with digital collaboration tools, all critical for an operations-focused role.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: Review of application, resume, and portfolio to assess core skills in design, AI, and performance marketing creative.
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Technical/Creative Assessment: Potential for a skills-based challenge or a deep dive into portfolio projects, focusing on design principles, AI integration, and performance outcomes.
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Paid Project: The final interview step is a paid project designed to simulate real-world tasks. This will assess practical application of skills, problem-solving abilities, and alignment with the company's operational tempo.
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Team/Hiring Manager Interview: Discussion about experience, approach to problem-solving, collaboration style, and cultural fit.
Portfolio Review Tips:
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Highlight Performance: Clearly articulate the impact of your creative work on key metrics like ROAS, conversion rates, and user acquisition. Quantify results whenever possible.
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Showcase AI Integration: Detail your process for using generative AI tools, including prompt engineering strategies, model selection rationale, and how you overcame technical limitations.
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Demonstrate Operational Thinking: Present case studies that illustrate your ability to build, optimize, and scale creative production systems. Show how you "treat a ROAS target like a personal challenge."
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Visual Clarity: Ensure your portfolio is well-organized, visually appealing, and easy to navigate. Use clear descriptions for each project.
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Focus on Process: Be prepared to walk through your workflow from ideation to final asset delivery, emphasizing efficiency and iterative improvements.
Challenge Preparation:
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Study the company's apps (Elevate, Balance, Spark) and their likely marketing strategies.
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Be ready to discuss current trends in AI video generation and their implications for performance marketing.
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Practice articulating complex technical concepts (LLMs, prompt engineering) in a clear, concise manner.
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Prepare to discuss how you would approach building a scalable video ad production system in a remote, AI-forward environment.
π Enhancement Note: The emphasis on a "paid project" as the final step is a strong indicator of how the company values practical, results-oriented work and wants to see candidates perform under conditions similar to the actual job. This is a common practice for operational and specialized roles.
π Tools & Technology Stack
Primary Tools:
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Design & Editing: Figma, Adobe Creative Suite (Photoshop, Illustrator), After Effects.
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Generative AI Video: Veo 3, Kling, Runway Gen-4 (and other emerging tools), Text-to-Image models (Midjourney, Stable Diffusion), Text-to-Video models, Voice Synthesis tools.
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Prototyping: Figma's prototyping features.
Analytics & Reporting:
- Familiarity with performance data from platforms like Meta Ads Manager and AppLovin is crucial.
CRM & Automation:
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Not directly specified for this role, but an understanding of how creative assets integrate into User Acquisition funnels managed through CRM or ad platforms is beneficial.
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Familiarity with LLMs, multimodal models, and embedding pipelines points to an understanding of underlying AI infrastructure.
π Enhancement Note: The "Tools & Technology Stack" section is critical for operations roles. This description is rich with specific AI tools and design software, indicating a high technical bar and a need for candidates to be current with the rapidly evolving AI landscape.
π₯ Team Culture & Values
Operations Values:
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Performance-Driven: A strong focus on measurable results, particularly ROAS, and treating creative production as a key driver of business success.
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Innovation & Experimentation: Encouragement to explore and adopt new technologies, especially AI, to continuously improve processes and outcomes.
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Autonomy & Ownership: Expectation that individuals will take initiative, manage their own workflows, and deliver results without constant supervision.
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Efficiency & Scalability: A commitment to building systems and processes that can handle high volumes of creative output effectively.
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Continuous Learning: A dedication to staying ahead of industry trends, particularly in AI and digital marketing.
Collaboration Style:
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Remote & Asynchronous: Reliance on digital tools for communication and collaboration, with an understanding of asynchronous workflows.
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Data-Informed: Discussions and decisions are expected to be backed by data and performance metrics.
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Proactive Communication: Given the remote, operator-centric nature, clear and proactive communication is vital for alignment and problem-solving.
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Feedback-Oriented: A culture that encourages constructive feedback to drive process improvements and creative evolution.
π Enhancement Note: The values align with a high-performance, tech-forward, and operational culture. The emphasis on "operator role" and "shipping before asked" suggests a team that values execution and results over bureaucracy.
β‘ Challenges & Growth Opportunities
Challenges:
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Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in generative AI tools and identifying which are truly valuable for production.
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Scaling Creative Production: Developing and maintaining efficient, AI-augmented workflows that can deliver high volumes of quality video ads consistently.
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Balancing Speed and Quality: Producing creative at high velocity while ensuring it meets design standards and performs effectively.
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Technical Integration: Troubleshooting and optimizing the integration of various AI models and software within a production pipeline.
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Remote Collaboration: Effectively communicating and collaborating with a distributed team across different time zones.
Learning & Development Opportunities:
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Cutting-Edge AI Expertise: Gaining deep, hands-on experience with the latest generative AI video technologies.
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Performance Marketing Mastery: Enhancing skills in creative strategy, A/B testing, and ROAS optimization through practical application.
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Operations System Design: Developing expertise in building and refining scalable creative production workflows.
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Industry Exposure: Working with successful mobile apps in the mental fitness space and contributing to their growth.
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Potential for Full-Time Role: Demonstrating value could lead to a permanent position with a broader scope.
π Enhancement Note: The challenges are directly tied to the cutting-edge nature of AI and the operational demands of performance marketing, offering significant opportunities for skill development in a high-growth area.
π‘ Interview Preparation
Strategy Questions:
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How would you approach building a scalable video ad production system using generative AI for a company like The Mind Company?
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Describe your process for testing and integrating a new generative AI video tool into an existing workflow. What metrics would you track?
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Given a ROAS target, how would you prioritize and iterate on creative variations for a mobile app advertising campaign?
Company & Culture Questions:
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What interests you about The Mind Company's mission in mental fitness?
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How do you thrive in a fully remote, operator-centric work environment?
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Describe a time you had to work autonomously to solve a complex creative or technical problem.
Portfolio Presentation Strategy:
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Structure: Organize your portfolio by case study, focusing on the problem, your AI-driven solution, the process, and the quantifiable results (ROAS, conversions, efficiency gains).
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Demonstrate AI Prowess: Be ready to explain your prompt engineering techniques, the specific AI models used, and why you chose them for each project. Show examples of how you pushed the boundaries of these tools.
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Highlight Operations: Emphasize how your work contributed to scalability, efficiency, or improved production workflows. Use language like "optimized," "streamlined," "scaled," and "automated."
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Quantify Impact: For each project, clearly state the measurable outcomes. If exact numbers aren't available, discuss the intended impact and how you would measure it.
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Be Prepared to Discuss the Paid Project: Reflect on your approach during the paid project, what you learned, and how you would further optimize your solution.
π Enhancement Note: Preparation should focus on showcasing the intersection of creative skill, AI expertise, and operational efficiency. Candidates need to demonstrate they can be both a creative force and a system builder.
π Application Steps
To apply for this operations position:
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Submit your application through the provided link on Ashby.
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Portfolio Customization: Tailor your portfolio to specifically highlight performance video ad examples, your expertise with generative AI tools and prompt engineering, and any experience with scaling creative production. Quantify results where possible.
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Resume Optimization: Ensure your resume clearly articulates your experience with Figma, Adobe Creative Suite, After Effects, and your deep knowledge of AI video models and prompt engineering. Use keywords from the job description that reflect your operational capabilities (e.g., "high-output," "creative systems," "ROAS target," "production system").
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Interview Preparation: Practice discussing your portfolio projects, particularly focusing on your process for AI integration, problem-solving, and driving performance. Be ready to articulate your understanding of LLMs and multimodal models.
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Company Research: Familiarize yourself with The Mind Company's apps (Elevate, Balance, Spark) and their mission. Understand their commitment to mental fitness and their operational approach to marketing.
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 possess a strong understanding of LLMs and multimodal workflows.