AI Content Designer

📍 Job Overview

Job Title: AI Content Designer

Company: R/GA

Location: New York, Remote

Job Type: Full-Time

Category: Creative & Media / Marketing / Technology

Date Posted: 2025-10-23

Experience Level: Mid-Level (3-5 years)

Remote Status: Remote-first (NY-based preferred)

🚀 Role Summary

• Design and craft compelling, on-brand content experiences across diverse channels (web, social, CRM, video) by leveraging generative AI tools.

• Develop and refine prompts for Large Language Models (LLMs) to produce creative content, understanding and guiding model behavior for desired tone, style, and output.

• Collaborate with cross-functional teams including strategists, designers, and engineers to execute intelligent, channel-appropriate copy for creative campaigns, product launches, and performance marketing.

• Contribute to and evolve Addition's AI content workflows, staying abreast of the latest AI tooling and documenting best practices.

📝 Enhancement Note: This role is positioned within the Creative + Content Strategy team, indicating a strong focus on the creative application of AI in content generation, rather than pure operational or analytical aspects. However, the emphasis on "AI Workflows," "Content Optimization," and "Performance Data" suggests a need for operations-minded individuals who can bring structure and efficiency to creative processes. The "Revenue Operations" or "GTM Operations" lens here is about how content operations and AI-driven content creation can directly impact marketing effectiveness and, by extension, revenue generation.

📈 Primary Responsibilities

• AI-Enhanced Content Design: Craft compelling, brand-aligned content for surfaces like landing pages, video scripts, digital out-of-home (DOOH), display ads, social media posts, and email campaigns, utilizing AI tools to accelerate ideation and versioning.

• Prompt Engineering & LLM Interaction: Write, test, and refine prompts for large language models (LLMs) to generate on-brand creative content, demonstrating an understanding of how model behavior influences tone, style, and output, and how to effectively guide it.

• Cross-Channel Content Execution: Partner with multidisciplinary teams (strategists, designers, engineers) to bring creative concepts to life through intelligent, channel-appropriate copy, supporting creative campaigns, product launches, performance-based marketing content, and system designs.

• AI Workflow Development & Optimization: Work within and actively contribute to the evolution of Addition’s AI content workflows, maintaining a current understanding of the most recent AI tooling, and contributing to the documentation of learnings and best practices.

• Content Performance Iteration: Leverage feedback loops, performance data, and rapid testing methodologies to iterate and improve AI-generated content, collaborating with producers and strategists to identify successful elements and understand their underlying causes.

• Editorial Governance & Consistency: Apply and maintain established voice, tone, and brand standards across all deliverables, proactively flagging inconsistencies, suggesting improvements, and ensuring both human- and machine-generated content meets the highest quality bar.

• Quality Assurance & Delivery: Conduct reviews, fact-checking, and refinement of AI outputs prior to client delivery or final handover, supporting comprehensive QA processes across various creative and marketing formats.

📝 Enhancement Note: While the core responsibilities are creatively focused, the emphasis on "Content Optimization," "Performance Data," and "AI Workflows" implies a need for an operations mindset. This means candidates should be prepared to discuss how they would structure content generation processes for efficiency, track content performance, and integrate AI tools into scalable workflows. The "Cross-Channel Execution" also points to the need for a systematic approach to content deployment and management.

🎓 Skills & Qualifications

Education: Bachelor’s degree in a related field (Communications, Marketing, Design, Journalism, HCI), or equivalent professional experience. Ongoing learning or certification in AI, UX, or product strategy is a plus.

Experience: 3–5 years in content design, UX writing, copywriting, or content strategy. Agency, Production Studio, or in-house brand experience preferred.

Required Skills:

• Content Design & Editorial Craft: Proven ability to write, edit, and structure content with clarity, impact, and brand alignment.

• AI Fluency: Familiarity with Large Language Models (LLMs) and AI content generation tools; comfort in crafting prompts, reviewing model outputs, and working with advanced generative AI.

• Cross-Channel Content Strategy: Experience developing and executing content across various platforms (web, social, CRM, video, DOOH, display) with an understanding of channel-specific nuances.

• Prompt Engineering: Demonstrated ability to write and test effective prompts for AI models to achieve desired content outcomes.

• Collaboration & Communication: Proactive, thoughtful collaborator comfortable working with multidisciplinary teams (designers, creatives, producers, engineers, client stakeholders) in fast-paced environments.

• Adaptability & Curiosity: Nimble, curious, and comfortable with self-directed experimentation; ability to thrive in ambiguity and manage shifting priorities.

• Brand Stewardship: Strong understanding of applying and maintaining voice, tone, and brand standards consistently.

Preferred Skills:

• Experience with rapid prototyping of AI-driven content solutions.

• Familiarity with performance data analysis and feedback loops for content optimization.

• Knowledge of content management systems (CMS) or digital asset management (DAM) systems.

• Understanding of SEO principles as they relate to content creation.

• Experience in a production studio or agency setting.

📝 Enhancement Note: The "AI Fluency" and "Prompt Engineering" requirements are critical. For operations professionals, this translates to understanding how AI tools can be integrated into existing content pipelines to drive efficiency and scale. The "Portfolio" requirement is key and should highlight not just creative output but also the process and tools used, especially AI.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating strong storytelling, editorial clarity, and creative content execution across various channels.

• Examples showcasing the application of AI tools in the content design process, including prompt examples and resulting outputs.

• Case studies or project descriptions detailing collaboration with cross-functional teams to bring content concepts to life.

• Evidence of understanding and applying brand voice, tone, and standards in content creation.

Process Documentation:

• Ability to articulate and document AI content workflows, including prompt design, output refinement, and quality control steps.

• Experience in contributing to best practice documentation for AI tool usage and content generation.

• Capacity to explain the process of integrating AI-generated content into broader marketing or creative campaigns.

📝 Enhancement Note: The portfolio is crucial for demonstrating practical application of AI in content design. Operations candidates should focus on showcasing process efficiency, scalability, and measurable improvements achieved through AI integration, even within a creative context. Highlighting how you manage and optimize content workflows using AI will be key.

💵 Compensation & Benefits

Salary Range: Given the mid-level experience (3-5 years), location (New York), and specialized nature of AI content design, a competitive salary range in New York City for this role would typically fall between $85,000 - $120,000 annually. This estimate is based on industry benchmarks for content designers, UX writers, and AI specialists in major metropolitan areas, considering the specific skill set and agency environment.

Benefits:

• Comprehensive health, dental, and vision insurance.

• Generous paid time off (PTO) and holiday schedule.

• 401(k) retirement plan with company match.

• Professional development and continuous learning opportunities, particularly in AI and creative technologies.

• Remote work flexibility and potential stipends for home office setup.

• Access to cutting-edge AI tools and technologies for professional use.

• Opportunities for creative collaboration and professional growth within a leading agency.

Working Hours: Standard full-time hours are expected, typically 40 hours per week. While the role is remote-first, a degree of flexibility may be offered, with an expectation of availability during core business hours for collaboration and client engagement.

📝 Enhancement Note: The estimated salary range is based on general market data for similar roles in New York City. A precise figure would depend on the candidate's specific experience, portfolio strength, and negotiation. The benefits are typical for a full-time role in a reputable agency, with a strong emphasis on professional development relevant to AI.

🎯 Team & Company Context

🏢 Company Culture

Industry: Advertising & Marketing / Technology & Innovation. R/GA is a globally recognized digital product and marketing agency known for its innovation and integration of technology into creative solutions. Addition is a specialized unit within R/GA focusing on AI-driven content.

Company Size: R/GA is a large, global agency network with hundreds of employees. Addition, as a specialized unit, may operate with more agility but benefits from the resources of the larger organization.

Founded: R/GA was founded in 1977, with a long history of innovation in digital marketing and design.

Team Structure:

• The AI Content Designer will be part of the Creative + Content Strategy team.

• This team likely works closely with design, engineering, product, and client strategy departments.

Methodology:

• Human + Machine Collaboration: A core methodology at Addition, emphasizing the synergy between human creativity and AI capabilities.

• Agile & Iterative: Fast-paced, experimental approach to content creation and product development, utilizing feedback loops and rapid prototyping.

• Data-Informed Creativity: Using performance data and user feedback to refine creative outputs and strategic direction.

Company Website: https://www.rga.com/

📝 Enhancement Note: R/GA's reputation for innovation suggests a dynamic and forward-thinking work environment. The "Addition" unit specifically highlights a commitment to cutting-edge AI applications. For operations professionals, this implies a culture that embraces new technologies and processes, and values efficiency gained through intelligent automation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level AI Content Designer. While the title is creative, the operational aspects involve managing AI content workflows, optimizing processes for speed and scale, and ensuring quality control. A candidate with an operations background would be seen as someone who can bring structure and efficiency to these creative workflows.

Reporting Structure: The AI Content Designer will report into the Creative + Content Strategy team, likely to a Creative Director, Content Strategy Lead, or similar leadership role within Addition.

Operations Impact: The AI Content Designer's work directly impacts the efficiency and scalability of content creation for R/GA's clients. By leveraging AI, they can accelerate campaign development, enable personalized content at scale, and potentially reduce production costs, all of which can positively influence client ROI and R/GA's revenue generation capabilities.

Growth Opportunities:

• Specialization in AI Content: Deepen expertise in prompt engineering, LLM fine-tuning, and the ethical considerations of AI in content.

• Workflow Optimization Leadership: Transition into roles focused on designing and managing AI-driven content operations and workflows for larger teams or clients.

• Cross-Disciplinary Skill Development: Expand knowledge in UX design, content strategy, and product development to create more holistic AI-powered experiences.

• Client-Facing Strategy: Grow into roles that involve advising clients on AI content strategies and implementation.

📝 Enhancement Note: For an operations professional, this role represents an opportunity to bridge the gap between creative output and operational efficiency by applying AI. Growth paths could lead to managing AI content operations, integrating AI into broader GTM strategies, or leading teams focused on AI-powered marketing solutions.

🌐 Work Environment

Office Type: Remote-first, with a preference for candidates based in or willing to relocate to New York. This implies a distributed team structure with a strong reliance on digital collaboration tools.

Office Location(s): While remote, the preference for NY-based candidates suggests a connection to R/GA's New York presence. R/GA has offices globally, but this role is anchored by its remote-first nature.

Workspace Context:

• Digital Collaboration: Heavy reliance on virtual meeting platforms (e.g., Zoom, Google Meet), instant messaging (e.g., Slack), and project management tools.

• AI Tool Integration: Access to and daily use of various generative AI platforms and proprietary R/GA/Addition tools.

• Cross-Functional Interaction: Frequent collaboration with diverse teams, requiring clear communication and shared understanding of project goals.

Work Schedule: Standard full-time, 40 hours per week. While remote, maintaining consistent availability for team syncs and client needs is expected. The nature of AI experimentation might also involve periods of focused, independent work.

📝 Enhancement Note: The remote-first environment necessitates strong self-management and communication skills. Operations professionals will find this familiar, but the emphasis shifts from managing physical office resources to optimizing digital collaboration and tool accessibility for a distributed creative team.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess experience, AI fluency, and editorial craft.

• Portfolio Presentation & Discussion: Candidates will likely present their portfolio, discussing specific projects, their role, the AI tools used, and the outcomes achieved. This is where operational thinking (process, efficiency, results) will be evaluated alongside creative execution.

• Skills-Based Interview: Questions focusing on prompt engineering techniques, AI workflow design, collaboration scenarios, and problem-solving. Expect scenario-based questions related to handling AI output challenges or integrating AI into complex campaigns.

• Team/Cultural Fit Interview: Discussion with potential team members to assess collaboration style, adaptability, and alignment with R/GA/Addition's innovative culture.

Portfolio Review Tips:

• Showcase Process, Not Just Output: Clearly articulate the "how" behind your AI-assisted content. Detail your prompt design process, iteration cycles, and how you ensured brand consistency and quality.

• Quantify Impact (Where Possible): If you have data on increased efficiency, faster turnaround times, or improved content performance due to AI, highlight it. Even qualitative feedback on improved creative ideation is valuable.

• Demonstrate AI Versatility: Include examples using different AI tools or for diverse content types and channels. Show your adaptability with various LLMs and generative models.

• Highlight Collaboration: Provide examples of how you worked with designers, strategists, or engineers, especially in integrating AI-generated content into larger projects.

• Be Ready for Technical Questions: Prepare to discuss the limitations and capabilities of different AI models, ethical considerations, and your approach to fact-checking and quality control of AI outputs.

Challenge Preparation:

• Expect a potential short-term assignment or a detailed case study related to designing AI-generated content for a specific brand or campaign.

• Focus on demonstrating your ability to quickly understand brand guidelines, generate relevant prompts, and refine AI outputs to meet objectives.

• Practice articulating your thought process and strategy clearly and concisely, as you would present to a client or internal team.

📝 Enhancement Note: The interview process heavily emphasizes the portfolio. Operations professionals should frame their portfolio not just as a showcase of creative work, but as evidence of their ability to manage and optimize AI-driven content processes, demonstrating efficiency and measurable results. The "challenge" is likely to test practical application of AI in a given scenario.

🛠 Tools & Technology Stack

Primary Tools:

• Generative AI Platforms: Proficiency with various LLMs and generative AI tools (e.g., OpenAI's GPT-4, Google's Gemini, Anthropic's Claude, Midjourney for image generation, etc.).

• Prompt Engineering Interfaces: Experience using platforms or APIs for prompt testing and refinement.

• Content Management Systems (CMS): Familiarity with platforms like WordPress, Contentful, Adobe Experience Manager, or similar for content deployment.

• Design & Collaboration Tools: Proficiency with tools like Figma, Adobe Creative Suite, Sketch for design integration and collaboration.

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics for understanding content performance.

• Social Media Analytics: Native platform insights, third-party tools (e.g., Sprout Social, Hootsuite) for social content performance.

• Data Visualization Tools: Tableau, Power BI, or similar for presenting performance data, if required.

CRM & Automation:

• CRM Systems: Salesforce, HubSpot, or similar, to understand content's role in customer journeys.

• Marketing Automation Platforms: Marketo, Pardot, HubSpot, Mailchimp for email and campaign execution.

• Project Management Software: Asana, Trello, Jira, Monday.com for workflow management and team coordination.

📝 Enhancement Note: While the core focus is on AI tools, understanding how this content integrates into broader marketing technology stacks (CMS, CRM, Marketing Automation) is crucial for an operations perspective. The ability to connect AI-generated content to performance metrics and operational workflows is key.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore new technologies and methodologies, particularly in AI, and a willingness to experiment with novel approaches.

• Collaboration & Partnership: Emphasis on working effectively across diverse teams (creative, strategy, engineering) to achieve shared goals.

• Efficiency & Scale: A focus on leveraging AI to create content faster, more scalably, and with higher quality, driving operational excellence in creative production.

• Data-Driven Iteration: Using performance feedback and data analysis to continuously refine content and processes.

• Adaptability & Agility: Embracing change, thriving in ambiguity, and quickly adapting to evolving AI capabilities and project requirements.

Collaboration Style:

• Integrated Teams: Expect to work closely with individuals from various disciplines, requiring open communication and a shared understanding of project objectives.

• Feedback-Rich Environment: Culture that encourages constructive feedback to improve both creative output and operational processes.

• Knowledge Sharing: Active participation in sharing learnings about AI tools, prompt techniques, and best practices within the team and broader organization.

📝 Enhancement Note: The values highlight a blend of creative exploration and operational rigor. For an operations professional, demonstrating an understanding of how to bring structure, measurement, and efficiency to creative, AI-driven processes will align well with this culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the fast pace of AI development and adapting workflows accordingly.

• Maintaining Brand Integrity with AI: Ensuring AI-generated content consistently meets stringent brand standards and voice, especially at scale.

• Measuring AI Content ROI: Developing effective metrics to quantify the impact and efficiency gains of using AI in content creation.

• Ethical AI Use: Navigating the ethical considerations of AI-generated content, including accuracy, bias, and intellectual property.

• Balancing Speed and Quality: Achieving high-velocity content production without compromising on editorial excellence or strategic messaging.

Learning & Development Opportunities:

• Advanced AI Tool Training: Access to specialized training and workshops on cutting-edge generative AI models and techniques.

• Industry Conferences & Certifications: Opportunities to attend relevant AI, marketing, and UX conferences, and pursue certifications.

• Cross-Functional Skill Development: Learning from designers, strategists, and engineers to build a more holistic understanding of product and campaign development.

• Mentorship Programs: Potential for mentorship from senior leaders in creative, strategy, or technology roles within R/GA.

📝 Enhancement Note: The challenges presented are directly relevant to operations professionals looking to apply AI. Framing solutions to these challenges in terms of process improvement, risk mitigation, and strategic implementation will be beneficial. The growth opportunities highlight a clear path for specialization and leadership in AI-driven content operations.

💡 Interview Preparation

Strategy Questions:

• "How would you design an AI-driven content workflow for a global brand launching a new product across multiple international markets, considering localization and brand consistency?" (Focus: Process design, scalability, cross-cultural considerations)

• "Describe a time you had to significantly refine AI-generated output to meet specific brand voice or quality standards. What was your process, and what challenges did you overcome?" (Focus: Editorial control, problem-solving, iterative refinement)

Company & Culture Questions:

• "R/GA is known for its innovation. How do you personally stay updated on AI advancements, and how would you bring that curiosity and learning mindset to the Addition team?" (Focus: Proactiveness, continuous learning, cultural fit)

• "This role requires close collaboration with designers, strategists, and engineers. Describe your experience working in multidisciplinary teams and how you ensure effective communication and alignment." (Focus: Collaboration style, stakeholder management)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly state the objective, your specific role, the AI tools/techniques used, the process followed, the challenges encountered, and the final outcome/impact.

• Emphasize Process Efficiency: Highlight how AI helped accelerate ideation, increase content volume, or improve versioning, demonstrating operational benefits.

• Showcase Prompt Design: Include examples of your prompts and explain the rationale behind them, demonstrating your understanding of LLM interaction.

• Be Ready to Discuss Metrics: If available, present quantifiable results (e.g., time saved, content output increase). If not, discuss qualitative feedback or lessons learned.

• Connect to Company Values: Frame your work in the context of innovation, collaboration, and delivering impactful, data-informed creative solutions.

📝 Enhancement Note: Operations candidates should actively highlight their ability to bring structure, efficiency, and measurable results to creative processes. Emphasize how you manage workflows, ensure quality control, and leverage data, even within a creative context.

📌 Application Steps

To apply for this AI Content Designer position:

• Submit your application and portfolio through the R/GA careers portal via the provided link.

• Portfolio Customization: Tailor your portfolio to specifically highlight projects where you've utilized AI in content design, prompt engineering, or workflow optimization. Clearly articulate your process and any efficiency gains or creative enhancements achieved.

• Resume Optimization: Ensure your resume emphasizes keywords related to AI, content design, prompt writing, content strategy, and cross-functional collaboration. Quantify achievements wherever possible, particularly those related to efficiency or scale.

• Interview Preparation: Practice articulating your process for AI-driven content creation, your approach to quality control, and how you collaborate within multidisciplinary teams. Prepare specific examples for the interview questions provided.

• Company Research: Familiarize yourself with R/GA's work, particularly Addition's initiatives in AI. Understand their approach to innovation and client solutions to demonstrate cultural alignment.

⚠️ 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.

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