AI Video Marketing Designer (Contract)
π Job Overview
Job Title: AI Video Marketing Designer (Contract)
Company: The Mind Company
Location: Canada
Job Type: Contract, Full-Time
Category: Marketing Operations / Creative Operations / GTM Enablement
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 a high-output, operator-focused position within the Go-To-Market (GTM) and Marketing Operations functions, emphasizing the creation of performance-driven video advertising at scale.
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The primary focus will be on leveraging AI and generative video tools to develop creative systems that optimize Return on Ad Spend (ROAS) targets.
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Candidates will be expected to proactively explore, test, and integrate new generative video technologies into a scalable production workflow.
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This position requires a blend of strong design principles, technical proficiency in AI tools, and a data-driven approach to creative asset development for platforms like Meta and AppLovin.
π Enhancement Note: While the title is "AI Video Marketing Designer," the description clearly positions this as an "operator role" focused on "creative systems" and "shipping before asked," with a direct link to "ROAS targets." This indicates a strong leaning towards performance marketing operations and GTM enablement, where creative assets are optimized for conversion and efficiency, rather than purely aesthetic design. The emphasis on "production system that gets smarter every sprint" further solidifies its operations context.
π Primary Responsibilities
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Produce high-volume, performance-oriented video advertisements for digital advertising platforms such as Meta (Facebook/Instagram) and AppLovin.
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Proactively research, test, and evaluate emerging generative video AI models (e.g., Veo 3, Kling, Runway Gen-4) and their application in marketing campaigns.
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Develop and refine repeatable production workflows for AI-generated video assets, ensuring scalability and efficiency.
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Implement and optimize prompt engineering techniques across text-to-image, text-to-video, and voice synthesis to achieve desired creative outcomes and performance metrics.
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Collaborate with the marketing and GTM teams to understand campaign objectives, target audiences, and ROAS goals, translating these into effective creative strategies.
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Design and build functional wireframes and prototypes rapidly using Figma, ensuring clarity and ease of iteration for testing and deployment.
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Maintain pixel-level attention to design principles, including hierarchy, typography, motion timing, and art direction, to maximize ad performance and conversion rates.
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Continuously iterate on creative assets based on performance data and A/B testing results, feeding insights back into the production system.
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Manage and organize creative assets and project files efficiently for a high-throughput production environment.
π Enhancement Note: The core responsibilities have been expanded to reflect the "operator role" and "creative systems" aspects highlighted in the job description. This includes emphasizing the need for scalability, efficiency, and data-driven iteration, which are hallmarks of operations-focused roles within marketing GTM functions. The integration of AI model evaluation and prompt engineering is framed within the context of production system improvement.
π 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 directly transferable.
Experience:
- 2-5 years of experience in video production, graphic design, or digital marketing, with a significant focus on performance advertising or direct-response creative.
Required Skills:
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Design Software Proficiency: Deep expertise in Figma, Adobe Creative Suite (Photoshop, Illustrator), and Adobe After Effects is essential for asset creation and motion graphics.
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AI & Generative Video Expertise: Encyclopedic knowledge of current generative video models (e.g., Veo 3, Kling, Runway Gen-4) and a sharp point of view on their evolving capabilities and use cases.
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Prompt Engineering Mastery: Exceptional skills in prompt engineering for text-to-image, text-to-video, and voice synthesis, including advanced techniques like negative prompting and style anchoring.
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Performance Marketing Acumen: A strong understanding of ROAS targets and how creative design directly impacts campaign performance and conversion rates.
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Workflow Development: Experience in creating repeatable production workflows, particularly leveraging AI and automation tools for efficiency.
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Prototyping & Wireframing: Voracious appetite for building functional wireframes and prototypes quickly in Figma, with a focus on clarity and iterative design.
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Design Principles: Exceptional eye for design, with the ability to articulate the conversion impact of layout, hierarchy, typography, motion timing, and art principles.
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LLM Understanding: Foundational understanding of Large Language Models (LLMs) and their application in creative production pipelines.
Preferred Skills:
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Experience with video ad platforms beyond Meta and AppLovin (e.g., TikTok Ads, Google Ads).
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Familiarity with A/B testing methodologies and data analysis for creative optimization.
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Basic understanding of video editing and post-production techniques beyond AI generation.
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Experience working in a fully remote, contract-based role.
π Enhancement Note: The "Must-Have Skills" have been categorized into "Required" and "Preferred" for clarity. The experience level has been inferred from the "2-5 years" implied by the AI analysis and the nature of the role requiring deep expertise and a proven track record. The education section has been expanded to provide context for transferable skills, aligning with the company's DEI statement.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Performance-Focused Case Studies: Showcase at least 2-3 detailed case studies of video ad campaigns you've worked on, specifically highlighting your role in design, production, and the resulting performance metrics (e.g., ROAS, CPA, CTR).
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AI Tool Integration Examples: Include examples demonstrating your proficiency with generative AI tools, prompt engineering, and how you've integrated them into a production workflow. This could be a series of prompts and their outputs, or a workflow diagram.
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Figma & Prototyping Samples: Provide examples of functional wireframes and prototypes built in Figma, illustrating your speed and clarity in conveying design concepts.
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Design Principle Application: Demonstrate your understanding of design principles through examples of how you've optimized elements like typography, motion, and hierarchy for conversion.
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Workflow Documentation: If possible, include a visual representation or description of a production workflow you've developed or significantly improved, especially one involving AI or automation.
Process Documentation:
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Candidates are expected to articulate their process for moving from concept to polished, high-performing video ad.
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This includes defining stages such as: ideation, AI tool selection, prompt engineering, asset generation, refinement, A/B testing, and performance analysis.
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The ability to document and communicate these processes clearly will be a key evaluation point.
π Enhancement Note: This section has been specifically tailored to the "operator role" and "creative systems" emphasis. The portfolio requirements focus on demonstrating practical application, efficiency, and measurable results, which are critical for GTM and marketing operations roles. The emphasis on process documentation is crucial for roles that aim to build scalable systems.
π΅ Compensation & Benefits
Salary Range: $30 - $50 USD per hour.
Estimated Annual Salary (based on full-time, 40 hours/week): $62,400 - $104,000 USD per year.
Regional Salary Research:
The Mind Company is a fully remote company, and while the job posting specifies "Canada" for location requirements, the pay range is provided in USD and is intended to align with US market rates for this specialized skill set. Canada has a diverse cost of living, but for a remote, specialized contract role at this level, the provided USD range is competitive and reflects the high demand for AI and performance marketing creative skills. For example, in major Canadian tech hubs like Toronto or Vancouver, a mid-level designer with AI specialization could command a salary within this range, though local currency conversion and tax implications would apply. The specified range is benchmarked against similar contract roles in the US performance marketing and creative technology sectors.
Benefits:
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Contract Flexibility: This is a contract position offering flexibility in work hours and location within Canada.
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US Business Hours Alignment: Opportunity to work within US time zones (EST, CST, PST), providing structure and facilitating collaboration with US-based teams.
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Exposure to Cutting-Edge AI: Direct involvement with and hands-on experience using the latest generative video AI models, fostering continuous learning and skill development.
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Impactful Role: Opportunity to directly influence campaign performance and ROAS through creative strategy and execution.
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Remote Work Environment: Fully remote position, eliminating commute and offering work-life balance.
Working Hours:
This is a full-time contract position, implying approximately 40 hours per week. Candidates must be able to work US hours (EST, CST, or PST) to facilitate collaboration with the core team. While the role is remote, adherence to these working hours is crucial for effective team integration and project execution.
π Enhancement Note: The salary range has been explicitly stated, and an estimated annual range provided. A detailed explanation of the compensation strategy, including regional considerations for Canada and benchmarking against US market rates, has been included. Benefits are framed in the context of a contract role and the specific demands of the position.
π― Team & Company Context
π’ Company Culture
Industry: Mental Fitness Technology / Mobile Applications. The Mind Company operates in a growing sector focused on well-being, cognitive enhancement, and personal development through digital platforms.
Company Size: The description implies a growing, dynamic company, likely falling into the small to medium-sized business (SMB) category if considering employee count, but agile and focused like a startup. The mention of a "portfolio of award-winning, science-backed apps" suggests a well-established product suite and a commitment to quality.
Founded: The founding date is not explicitly stated, but the company's portfolio of established apps (Elevate, Balance, Spark) indicates a history of product development and market presence.
Team Structure:
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Cross-Functional Collaboration: The role requires close collaboration with marketing, GTM, and potentially product teams to align creative output with business objectives.
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Remote-First Operations: The company is fully remote, fostering a culture of asynchronous communication, self-management, and digital collaboration tools.
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Lean & Agile: The description of the role as "high-output, zero-hand-holding operator" suggests a lean, agile team structure where individuals are empowered to take ownership and drive results independently.
Methodology:
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Data-Driven Creativity: A core methodology involves using performance data (ROAS, conversion rates) to inform and optimize creative output.
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Iterative Development: The emphasis on a "production system that gets smarter every sprint" points to an iterative approach to creative development and workflow optimization.
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Experimentation: A culture of constant testing and exploration, particularly with new AI technologies, is central to the role's success.
Company Website: https://themindcompany.com/
π Enhancement Note: The company context has been fleshed out by inferring from the provided description, focusing on how the industry, size, and culture impact an operations-focused role. The emphasis is on a data-driven, agile, and remote-first environment.
π Career & Growth Analysis
Operations Career Level: This role sits at a mid-level, often referred to as a "Creative Operations Specialist," "Performance Marketing Designer," or "AI Creative Producer." It requires significant hands-on technical skill and a proactive, results-oriented mindset, bridging the gap between creative execution and marketing performance. The emphasis is on execution and systemization rather than strategic leadership, though it lays the groundwork for future operational strategy roles.
Reporting Structure: The role is likely to report into a Marketing Operations Manager, a Head of Performance Marketing, or a Creative Director overseeing performance creative. The reporting structure will be lean, with direct interaction with campaign managers and potentially GTM leads.
Operations Impact: The impact of this role is directly tied to the company's customer acquisition cost (CAC) and overall revenue growth. By creating high-performing video ads at scale, the designer directly contributes to the efficiency of marketing spend and the volume of user acquisition for The Mind Company's apps. Success in this role means driving measurable improvements in ROAS and contributing to sustained growth.
Growth Opportunities:
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Specialization in AI & Performance Creative: Deepen expertise in cutting-edge AI tools and their application in performance marketing, becoming a go-to specialist.
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Workflow Optimization Leadership: Transition into roles focused on building and scaling creative production systems, potentially leading to a "Creative Operations Lead" or "Marketing Automation Specialist" position.
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Transition to GTM Strategy: Develop a strong understanding of marketing strategy and data analysis, which can lead to roles in GTM planning, campaign management, or broader marketing operations leadership.
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Mentorship: As an experienced contractor, there may be opportunities to mentor junior designers or provide guidance on AI tool implementation.
π Enhancement Note: This section provides a deeper dive into the career implications of the role, framing it within the context of operations and GTM career paths. It outlines potential growth trajectories and the specific skills that will be developed, aligning with typical operations career progression.
π Work Environment
Office Type: This is a fully remote position, meaning there is no central office or physical workspace provided by the company. The "office" is wherever the contractor chooses to work, provided they have a stable internet connection and a productive setup.
Office Location(s): While the role is remote, candidates must be based in Canada. This likely stems from employment and tax regulations. The specific time zone alignment requirement (EST, CST, or PST) suggests that while the company is global, there's a need for overlap with North American business hours.
Workspace Context:
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Self-Managed Environment: Contractors are responsible for creating their own productive and ergonomic workspace.
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Digital Collaboration Tools: The work environment relies heavily on digital communication and project management tools (e.g., Slack, email, project management software like Ashby's internal tools).
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Asynchronous & Synchronous Communication: While the role requires working US hours, much of the collaboration might be asynchronous, with clear documentation and updates being key. Synchronous meetings will occur for critical discussions and team alignment.
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Focus on Output: The environment is geared towards task completion and measurable results, with less emphasis on traditional office camaraderie and more on professional contribution.
Work Schedule: Full-time employment, approximately 40 hours per week. The key constraint is the requirement to align with US business hours (EST, CST, or PST). This means the contractor needs to be available for core working hours within those time zones, allowing for some flexibility in start and end times as long as collaboration needs are met.
π Enhancement Note: This section details the practical implications of a fully remote, contract role, emphasizing the contractor's responsibility for their workspace and the reliance on digital tools for collaboration. The time zone requirement is framed as a key aspect of the work schedule.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess basic qualifications, experience with required tools, and alignment with the "operator" mindset.
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Technical/Skills Interview: A deeper dive into your experience with Figma, Adobe Suite, After Effects, generative AI tools, prompt engineering, and your understanding of performance marketing principles. Expect questions about specific projects and your approach to problem-solving.
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Paid Project: A hands-on, paid project designed to simulate the core responsibilities of the role. This will involve creating video ads using AI tools, focusing on speed, quality, and performance optimization. This is the most critical step to demonstrate your capabilities.
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Final Interview/Onboarding Discussion: A discussion about your fit with the company culture, your understanding of the role's impact, and logistical details for contract onboarding.
Portfolio Review Tips:
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Show, Don't Just Tell: Your portfolio should be a visual demonstration of your skills and results. Prioritize video examples and interactive prototypes over lengthy descriptions.
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Quantify Your Impact: For each project, clearly state the objective, your specific contribution, the tools used (especially AI), and the quantifiable results (e.g., "Increased ROAS by X%," "Reduced CPA by Y%," "Achieved Z impressions with this creative").
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Highlight AI Proficiency: Dedicate a section to your AI video and prompt engineering work. Showcase the range of your skills, from text-to-image to text-to-video and voice synthesis.
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Demonstrate Workflow Efficiency: If possible, include a visual (e.g., a flowchart or diagram) or a concise explanation of a production workflow you've implemented or optimized, especially one that leverages AI for scale.
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Figma Clarity: Ensure your Figma files are well-organized and easy to navigate, demonstrating your ability to create clean, functional designs for rapid iteration.
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Tailor to the Role: Emphasize projects that align with performance marketing and AI-driven creative production.
Challenge Preparation:
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Practice AI Generation: Spend time experimenting with various generative AI video tools and prompt engineering techniques. Be ready to discuss your findings, preferences, and predictions for the future landscape.
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Figma Speed Test: Be prepared to quickly mock up simple wireframes or design elements in Figma. Focus on speed and clarity over intricate detail.
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ROAS/Performance Articulation: Practice explaining how specific design choices (typography, motion, composition) directly influence conversion rates and ROAS.
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Workflow Thinking: Be ready to discuss how you would build a scalable production system for AI video ads. Think about inputs, outputs, feedback loops, and quality control.
π Enhancement Note: The interview process has been detailed, with a specific emphasis on the paid project and portfolio review, which are critical for operational and creative roles. The portfolio and challenge preparation tips are tailored to the AI, performance, and operational aspects of the role.
π Tools & Technology Stack
Primary Tools:
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Figma: Essential for wireframing, prototyping, and collaborative design. Proficiency in creating clean, organized files for rapid iteration is key.
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Adobe Creative Suite:
- After Effects: For advanced motion graphics, animation, and integrating AI-generated elements into dynamic video ads.
- Photoshop: For image manipulation, asset creation, and preparing graphics for video.
- Illustrator: For vector graphics and logo creation.
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Generative Video Models: Deep, hands-on experience with current leading platforms such as RunwayML, Pika Labs, Veo, Kling, and others. Candidates should be able to articulate the strengths and weaknesses of each for different marketing use cases.
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AI Image Generators: Proficiency with tools like Midjourney, Stable Diffusion, or DALL-E for generating static assets or elements to be incorporated into video.
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Voice Synthesis Tools: Experience with AI voiceover generators for ad narration.
Analytics & Reporting:
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Advertising Platform Analytics: Familiarity with performance metrics and reporting dashboards within Meta Ads Manager and AppLovin.
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Spreadsheet Software: Proficiency in Excel or Google Sheets for basic data analysis and tracking performance metrics.
CRM & Automation:
- While not a primary focus, an understanding of how creative assets are deployed and tracked within a marketing automation context or CRM can be beneficial. Familiarity with how creative performance data feeds back into marketing systems is a plus.
π Enhancement Note: The tools and technology stack have been meticulously detailed, with a strong emphasis on the AI-specific tools and prompt engineering capabilities that are central to this role. The inclusion of Figma and Adobe Suite reflects the design foundation, while the AI tools highlight the cutting-edge nature of the position.
π₯ Team Culture & Values
Operations Values:
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Performance-Driven: A core value is the relentless pursuit of measurable results, specifically ROAS optimization. Every creative decision should be justifiable by its potential impact on campaign performance.
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Proactive & Self-Starting: The company values individuals who take initiative, anticipate needs, and drive projects forward without constant supervision. "Ships before they're asked" is a key indicator.
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Data-Informed Experimentation: A culture that encourages continuous learning and experimentation with new technologies (especially AI), grounded in data analysis to validate hypotheses.
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Efficiency & Scalability: Valuing the creation of robust, repeatable systems and workflows that allow for high-volume output without sacrificing quality or performance.
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Adaptability: In the rapidly evolving fields of AI and digital marketing, adaptability and a willingness to embrace change are crucial.
Collaboration Style:
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Remote & Asynchronous: Collaboration heavily relies on digital tools and clear, concise communication, often asynchronously.
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Results-Oriented: Interactions are focused on achieving project goals and performance targets.
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Feedback Exchange: Openness to constructive feedback on creative output and workflow processes, with a focus on continuous improvement.
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Cross-Functional Alignment: Working effectively with marketing strategists, campaign managers, and potentially product teams to ensure creative aligns with broader business objectives.
π Enhancement Note: This section translates the company's implied values and operational style into specific points relevant to an operations-focused role. The emphasis is on performance, proactivity, data, and efficiency, which are key cultural indicators for high-performing GTM and marketing operations teams.
β‘ Challenges & Growth Opportunities
Challenges:
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Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in generative AI models and tools requires continuous learning and adaptation. What's cutting-edge today may be standard or obsolete in months.
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Balancing Scale and Quality: Producing video ads at high volume while maintaining design integrity and ensuring they are effective for performance marketing.
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Prompt Engineering Complexity: Mastering the art of prompt engineering to consistently achieve desired creative outcomes and performance across diverse AI models.
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Performance Attribution: Clearly demonstrating the direct impact of creative assets on ROAS and other key performance indicators within complex advertising platforms.
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Remote Collaboration Efficiency: Maintaining strong communication and workflow efficiency within a fully remote, contract-based team.
Learning & Development Opportunities:
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Cutting-Edge AI Mastery: Becoming an expert in the latest generative AI video and voice synthesis technologies, a highly in-demand skill set.
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Performance Marketing Creative Strategy: Developing a deep understanding of what makes creative perform well on major ad platforms, informed by data and A/B testing.
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System Design & Optimization: Gaining experience in building and refining scalable production workflows, a valuable skill for any operations role.
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Industry Exposure: Working with a company at the forefront of mental fitness technology, gaining insights into app marketing and user acquisition strategies.
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Contractor Network: Potential to connect with other high-caliber contractors and build a professional network within the remote work space.
π Enhancement Note: This section identifies potential obstacles and opportunities directly related to the role's unique blend of AI, design, and performance marketing operations. It frames challenges as opportunities for skill development and growth.
π‘ Interview Preparation
Strategy Questions:
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"Describe your process for evaluating a new generative video AI model for potential use in performance marketing campaigns. What criteria do you prioritize?" (Focus on your evaluation framework, speed of testing, and performance metrics.)
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"Walk me through a time you had to rapidly iterate on a video ad based on performance data. What were the initial results, what did you change, and what was the outcome?" (Highlight your data-driven approach and iterative process.)
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"How do you approach prompt engineering to achieve specific visual styles or emotional tones in AI-generated video? Can you give an example where you used advanced techniques like negative prompting or style anchoring?" (Demonstrate technical skill and creative problem-solving.)
Company & Culture Questions:
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"What excites you about The Mind Company's mission in mental fitness?" (Show genuine interest in the company's purpose.)
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"How do you stay organized and manage your workflow in a fully remote, contract role?" (Address your self-management and communication skills.)
Portfolio Presentation Strategy:
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Structure Your Narrative: For each portfolio piece, clearly outline the objective, your role, the tools/AI used, the challenges faced, your solution, and the quantifiable results.
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Highlight AI Integration: Explicitly point out where and how you utilized AI tools, emphasizing the efficiency gains or unique creative outputs achieved.
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Focus on Performance: Draw attention to the metrics demonstrating the ad's effectiveness (ROAS, CTR, conversion rates). Be prepared to discuss what those numbers mean.
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Demonstrate Figma Proficiency: Be ready to showcase your Figma files, explaining your design decisions and how you built for speed and iteration.
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Be Ready for Technical Deep Dives: Prepare to answer specific questions about your chosen AI models, prompt structures, and design choices.
π Enhancement Note: This section provides concrete examples of interview questions tailored to the role's unique demands, focusing on AI, performance metrics, and operational efficiency. The portfolio presentation strategy emphasizes demonstrating tangible results and technical expertise.
π Application Steps
To apply for this AI Video Marketing Designer (Contract) position:
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Submit your application through the provided Ashby link.
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Portfolio Customization: Ensure your portfolio prominently features work demonstrating your expertise in AI video generation, prompt engineering, performance ad creative, and your proficiency with Figma and Adobe After Effects. Quantify results wherever possible.
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Resume Optimization: Tailor your resume to highlight experience in high-output creative production, AI tool integration, performance marketing, and remote work environments. Use keywords like "generative AI," "prompt engineering," "ROAS optimization," "video ad production," and "Figma."
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Prepare for the Paid Project: Understand that a paid project is a core part of the interview process. Be ready to dedicate time to this assessment, treating it as a real client deliverable. Practice generating video ads with AI and optimizing them for performance.
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Research The Mind Company: Familiarize yourself with their apps (Elevate, Balance, Spark) and their mission. Understand their approach to mental fitness and how your creative work can support their growth.
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 eye for design principles and conversion.