Creative Designer Growth

📍 Job Overview

Job Title: Creative Designer Growth

Company: Weekday AI (Client Role)

Location: Bengaluru, Karnataka, India

Job Type: Full-Time

Category: Marketing Operations / Creative Operations

Date Posted: 2026-09-08

Experience Level: 2-4 Years

Remote Status: On-site

🚀 Role Summary

• Owns the end-to-end creative pipeline, from initial concept and storyboarding through to asset production and performance analysis.

• Specializes in producing a high volume of static and video assets for paid, organic, and in-store channels, with a focus on performance-driven iteration.

• Leverages AI design and video tools as a core production layer, emphasizing prompt engineering over basic generation.

• Integrates creative performance data (e.g., CTR, engagement, thumb-stop) back into the creative development process for continuous improvement.

• Collaborates closely with marketing and category teams to adapt brand guidelines for diverse retail audience segments.

📝 Enhancement Note: This role is presented as a "Creative Designer Growth" within a client engagement managed by Weekday AI. While the title suggests a creative focus, the detailed responsibilities and required skills heavily lean into operations and performance marketing principles. The emphasis on structured processes, data analysis for creative iteration, and end-to-end ownership positions this as a sophisticated creative operations role, distinct from a purely aesthetic design position. The "Growth" aspect likely refers to the growth of creative performance through systematic testing and optimization.

📈 Primary Responsibilities

• Produce a minimum of two creative variants per campaign for rigorous performance testing across paid, organic, and in-store marketing channels.

• Drive the storyboard process by thoroughly interrogating creative briefs, proposing multiple distinct creative directions before production commences, and delivering comprehensive handoff documentation.

• Utilize AI tools (e.g., Midjourney, Adobe Firefly, Runway) as a fundamental part of the production workflow, focusing on advanced prompt engineering and iterative refinement.

• Actively maintain and expand the team's prompt library by logging successful prompts, scoring them based on performance metrics, and continuously iterating to improve effectiveness.

• Analyze creative performance data, including Click-Through Rates (CTR), engagement metrics, and thumb-stop rates, to inform and shape subsequent creative development cycles.

• Adhere strictly to a T-minus campaign calendar, understanding that missed gates will lead to the dropping of formats rather than extensions of timelines.

• Partner with marketing and category teams to effectively translate and adapt established brand guidelines into compelling formats suitable for Tier 2/3 retail audiences.

📝 Enhancement Note: The responsibilities highlight a strong operational cadence and a data-driven approach to creative execution, typical of performance marketing operations or growth marketing roles. The explicit mention of "variation-first thinking" and "performance review" underscores the operational rigor expected.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Graphic Design, Marketing, Communications, or a related field is typically expected for roles with this experience level and responsibility scope.

Experience: 2–4 years of direct experience in a design role within a retail, e-commerce, or Direct-to-Consumer (D2C) brand, or with an agency serving clients in the performance marketing space. Candidates must demonstrate a clear understanding of the lifecycle of creative assets, including creative briefs, review processes, and post-campaign learning documentation.

Required Skills:

• Graphic Design: Strong foundational skills in visual design principles, layout, typography, and branding.

• Motion Design: Proficiency in creating dynamic and engaging video assets, animations, and motion graphics for various digital platforms.

• Figma: Expertise in using Figma for design, prototyping, and collaborative workflows, particularly for digital assets.

• AI Design & Video Tools: Hands-on, practical experience in production workflows using AI tools such as Midjourney, Adobe Firefly, Runway, Higgsfield, Google Flow, or Fable 5. A demonstrated ability in prompt engineering is critical.

• Performance Creative Concepts: A solid understanding of key performance metrics like CTR, thumb-stop rate, and A/B creative testing principles, with the ability to interpret data to drive creative decisions.

• Storyboarding: Proven ability to translate briefs into visual storyboards and conceptualize multiple creative directions.

Preferred Skills:

• Adobe Creative Suite: Proficiency in Photoshop, Illustrator, Premiere Pro, and After Effects for advanced asset creation and editing.

• Prompt Library Management: Experience contributing to or maintaining a prompt library for AI creative tools.

• Brand Guideline Adaptation: Experience adapting existing brand guidelines for specific retail audience segments and channel requirements.

• Data Analysis Interpretation: Ability to interpret performance data to identify actionable insights for creative optimization.

📝 Enhancement Note: The emphasis on AI tools and performance metrics suggests a modern creative operations role that blends artistic skill with analytical rigor. The "good-to-have" skills align with industry-standard tools for advanced creative production. The requirement for practical AI tool experience is a strong indicator of the role's forward-looking nature.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Performance Creatives: Showcase examples of ads, offer cards, social media posts (e.g., Reels), and other performance-oriented assets.

• Brand Work: Include examples of brand-aligned creative that demonstrates an understanding of brand guidelines and audience segmentation.

• Process Documentation: Provide evidence of understanding structured creative workflows, such as a storyboard, a set of creative variations for A/B testing, or a before/after comparison demonstrating iterative improvement through prompt engineering.

• ROI Demonstration: While not explicitly a portfolio item, candidates should be prepared to discuss how their creative work has contributed to measurable business outcomes or performance improvements.

Process Documentation:

• Workflow Design & Optimization: Demonstrate experience in defining and adhering to structured creative workflows, including brief intake, concept development, production, and review gates.

• Implementation & Automation: Highlight any experience or understanding of how AI tools and structured processes streamline creative asset production and iteration.

• Measurement & Analysis: Show an ability to interpret performance data and articulate how these insights were fed back into the creative process for continuous improvement.

📝 Enhancement Note: The portfolio requirements are heavily geared towards demonstrating practical application of creative skills within a performance-driven, process-oriented framework. This is a key differentiator for operations roles, requiring candidates to prove not just design capability but also an understanding of workflow efficiency and impact measurement.

💵 Compensation & Benefits

Salary Range: For a Creative Designer with 2-4 years of experience in Bengaluru, India, a competitive salary range would typically fall between ₹6,00,000 to ₹10,00,000 per annum. This estimate is based on industry benchmarks for similar roles in the Indian market, considering the specified experience level and the advanced skill set required, including AI tool proficiency and performance marketing understanding.

Benefits:

• Full-Time Employment: Standard benefits package associated with full-time roles in India.

• Health Insurance: Comprehensive medical coverage for the employee and potentially dependents.

• Professional Development: Opportunities for training in AI design tools, performance marketing analytics, and advanced creative strategies.

• Performance Bonuses: Potential for bonuses tied to campaign performance and individual contributions to growth targets.

• Collaborative Work Environment: Access to a dynamic team and exposure to innovative creative operations methodologies.

Working Hours: Typically 40 hours per week, aligning with standard full-time employment in India. The role emphasizes adherence to a strict campaign calendar, suggesting a need for efficient time management and potentially some flexibility around campaign launch dates.

📝 Enhancement Note: Salary is estimated based on industry standards for Bengaluru, India, for a role requiring specialized AI and performance marketing skills. The benefits are typical for full-time positions in the region, with an emphasis on professional development relevant to the advanced tools and methodologies mentioned in the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: The client operates within the Retail and potentially E-commerce/D2C sectors, with a strong focus on leveraging technology, including AI, to enhance marketing and creative operations. This suggests an innovative and data-centric environment.

Company Size: While Weekday AI is a platform, the client company's size is not specified. However, the need for structured processes and performance data analysis implies a company that is either scaling rapidly or has established operations with a focus on efficiency and measurable results. Roles requiring 2-4 years of experience are common in growing teams.

Founded: The founding date of the client company is not provided. However, the emphasis on AI tools suggests a modern company that is either newly established or has quickly adopted cutting-edge technologies.

Team Structure:

• Operations Focus: The role is embedded within a marketing or creative team that prioritizes structured workflows, data-driven decision-making, and performance optimization.

• Cross-functional Collaboration: Close collaboration with marketing, category management, and potentially performance analysts is expected.

• Agile Cadence: The team likely operates with an agile or sprint-based approach, driven by a campaign calendar and performance feedback loops.

Methodology:

• Data-Driven Creativity: Decisions are informed by performance metrics, with a continuous feedback loop from results to creative strategy.

• Process-Centric Workflow: Emphasis on defined processes, gates, and documentation (briefs, handoffs, learning logs).

• AI-Augmented Production: AI tools are integrated as a core component of the creative production pipeline, not merely an add-on.

Company Website: The client's specific website is not provided, but Weekday AI's platform is at weekday.works.

📝 Enhancement Note: The context suggests a modern, growth-oriented company that values efficiency, data, and technological innovation in its creative and marketing functions. This is a key aspect for candidates to understand, as it dictates the pace and operational demands of the role.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an intermediate "Growth" designer. It requires more than just execution; it demands an understanding of performance metrics and the ability to iteratively improve creative output based on data. This is a stepping stone beyond a junior designer role, offering exposure to strategic creative operations.

Reporting Structure: The candidate will likely report to a Creative Lead, Marketing Manager, or Head of Creative Operations, who oversees the structured creative pipeline and performance analysis.

Operations Impact: The designer's work directly impacts campaign performance, including CTR, engagement, and potentially sales or footfall, by optimizing creative assets based on real-world data and structured testing methodologies. This role contributes to the measurable growth of marketing initiatives.

Growth Opportunities:

• Advanced AI Specialization: Deepen expertise in prompt engineering and AI-driven creative workflows, becoming a go-to specialist.

• Performance Marketing Acumen: Develop a stronger understanding of marketing analytics, A/B testing strategies, and campaign optimization.

• Creative Operations Leadership: Progress into roles managing creative processes, project pipelines, or leading creative teams with a focus on efficiency and impact.

• Cross-functional Exposure: Gain broader experience by working closely with marketing strategy, category management, and data analysis teams.

📝 Enhancement Note: The "Growth" in the title signifies a focus on development through performance and operational excellence, offering a clear path for career advancement within a specialized area of creative operations.

🌐 Work Environment

Office Type: The role is specified as "On-site" in Bengaluru, indicating a traditional office-based work environment. This suggests a physical workspace designed for collaboration and focused work.

Office Location(s): Bengaluru, Karnataka, India. Specific details about the office building or amenities are not provided but can be assumed to be standard for a professional corporate setting in a major Indian city.

Workspace Context:

• Collaborative Hub: The physical office space likely facilitates in-person collaboration with marketing, category, and fellow creative team members.

• Technology Integration: Access to necessary hardware and software, including high-performance workstations for design and video editing, and robust internet connectivity for AI tool usage.

• Process-Oriented Culture: The workspace will support structured workflows, with designated areas or practices for brief reviews, performance data discussions, and campaign planning sessions.

Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected, with potential for extended hours during critical campaign launches or deadlines, reflecting the importance of the campaign calendar.

📝 Enhancement Note: The on-site requirement emphasizes the value placed on in-person collaboration and the structured, process-driven environment necessary for efficient creative operations.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio against core requirements, particularly AI tool experience and performance creative examples.

• Technical Interview: Assessment of design skills, proficiency in required software (Figma, Adobe Suite), and practical understanding of AI tools and prompt engineering.

• Portfolio Presentation: Candidates will likely be asked to present their portfolio, focusing on specific examples of performance creatives, storyboards, variation sets, and how they've used data to inform their work.

• Case Study/Challenge: A potential exercise could involve responding to a creative brief, developing a storyboard, or outlining a strategy for iterating on existing creative based on provided performance data.

• Cultural Fit & Behavioral Interview: Evaluation of collaboration style, problem-solving approach, and alignment with a data-driven, process-oriented team culture.

Portfolio Review Tips:

• Highlight Performance: Clearly label and discuss the performance metrics associated with your creative examples.

• Showcase Process: Include visual evidence of your workflow, such as storyboards, wireframes, or iterations demonstrating prompt engineering improvements.

• Quantify Impact: Whenever possible, use numbers and data to describe the success of your creative work (e.g., "This ad variation led to a 15% increase in CTR compared to the control").

• Demonstrate AI Proficiency: Explicitly detail your experience with AI tools and how you integrate them into your creative process, showcasing specific prompt engineering techniques if possible.

• Tailor to the Role: Emphasize examples relevant to retail, e-commerce, or D2C brands and performance marketing.

Challenge Preparation:

• Understand the Brief: If given a creative brief, thoroughly analyze the target audience, objectives, and constraints.

• Embrace AI: Be ready to propose how AI tools can be leveraged to quickly generate variations or explore creative directions.

• Data Interpretation: Practice interpreting sample performance data and articulating actionable creative recommendations based on it.

• Process Adherence: Think about how you would structure your approach within the described process gates and calendar constraints.

📝 Enhancement Note: The interview process is designed to rigorously assess both creative talent and operational/analytical capabilities, with a significant emphasis on practical application of AI tools and performance data.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: For UI/UX design, prototyping, and collaborative asset creation.

• Adobe Creative Suite:

  • Photoshop & Illustrator: For advanced static graphic design and asset manipulation.
  • Premiere Pro & After Effects: For video editing, motion graphics, and animation production.

• AI Design & Video Tools:

  • Midjourney: For image generation and concept exploration.
  • Adobe Firefly: For AI-powered image creation and editing within Adobe workflows.
  • Runway: For advanced AI video generation, editing, and effects.
  • Others: Higgsfield, Google Flow, Fable 5, or equivalent tools demonstrating a broad familiarity with the AI creative landscape.

Analytics & Reporting:

• Familiarity with interpreting data from platforms like Google Analytics, Meta Ads Manager, or other campaign performance dashboards. The role requires understanding what the data signifies for creative effectiveness, rather than deep analytical expertise. CRM & Automation:

• While not a primary focus for this role, an understanding of how creative assets integrate into CRM or marketing automation platforms for campaign deployment would be beneficial.

📝 Enhancement Note: Proficiency in AI tools is a defining requirement, distinguishing this role from traditional design positions. The expectation is not just awareness but active integration into production workflows.

👥 Team Culture & Values

Operations Values:

• Data-Driven Impact: A core value is the belief that creative success is measurable and directly linked to performance data. Decisions are validated by results.

• Process Excellence: Adherence to structured workflows, gates, and timelines is paramount to ensure efficiency and consistent output.

• Iterative Improvement: A culture that embraces continuous learning and refinement, using feedback from campaign performance to enhance future creative.

• Agile Collaboration: Working effectively in a fast-paced environment, with cross-functional teams, and adapting quickly to new information or campaign needs.

• Innovation: An openness to exploring and integrating new technologies, particularly AI, to push creative boundaries and improve production efficiency.

Collaboration Style:

• Cross-functional Integration: Active participation in discussions with marketing, category, and performance teams to ensure creative alignment with business objectives.

• Feedback Exchange: A culture where constructive feedback on creative work and processes is regularly exchanged and acted upon.

• Knowledge Sharing: Willingness to share insights, best practices, and learnings, especially regarding AI prompt engineering and performance insights.

📝 Enhancement Note: The culture emphasizes a blend of creative execution and operational discipline, driven by a shared goal of measurable growth and efficiency through technology and data.

⚡ Challenges & Growth Opportunities

Challenges:

• High-Volume Production: Producing a significant number of creative variants under tight deadlines requires strong time management and efficient workflow execution.

• AI Tool Mastery: Staying current with rapidly evolving AI tools and techniques, and effectively integrating them into a production pipeline.

• Data Interpretation: Translating raw performance data into actionable creative insights and strategies.

• Balancing Brand & Performance: Effectively adapting brand guidelines to appeal to diverse retail audiences while ensuring creatives are optimized for performance metrics.

Learning & Development Opportunities:

• AI Prompt Engineering Mastery: Deep dive into advanced prompt engineering techniques and explore emerging AI creative platforms.

• Performance Marketing Analytics: Gain a more in-depth understanding of campaign metrics, A/B testing methodologies, and growth hacking principles.

• Creative Operations Strategy: Develop skills in managing creative pipelines, optimizing workflows, and contributing to broader creative strategy.

• Cross-functional Skill Development: Opportunities to learn from marketing strategists, data analysts, and category managers.

📝 Enhancement Note: This role presents an opportunity to become a specialist in the burgeoning field of AI-driven creative operations and performance marketing, offering a unique growth trajectory.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing creative assets for a performance marketing campaign, from brief to execution and analysis." (Focus on structure, AI integration, and data feedback).

• "How would you approach creating multiple variations of an ad for A/B testing to optimize for CTR?" (Discuss variation logic, hypothesis generation, and tool usage).

• "Walk us through a time you used performance data to significantly improve a creative asset or campaign. What was your process and what were the results?" (Prepare a specific case study demonstrating data interpretation and iterative improvement). Company & Culture Questions:

• "What interests you about working with AI tools in a creative production environment?" (Align with innovation, efficiency, and data-driven approaches).

• "How do you handle feedback on your creative work, especially when it's based on data you may not fully agree with initially?" (Demonstrate adaptability, openness to data, and collaborative problem-solving).

• "How do you ensure brand consistency while creating high-volume, performance-focused assets?" (Show understanding of brand guidelines and audience segmentation). Portfolio Presentation Strategy:

• Tell a Story: For each piece or project, explain the problem, your solution, the tools/processes used (especially AI), and the outcome/impact.

• Quantify Results: Use numbers and metrics wherever possible to demonstrate the effectiveness of your work.

• Highlight Process: Show your workflow, including storyboards, iteration examples, or how you used prompt engineering.

• Focus on Relevance: Prioritize examples that directly relate to performance marketing, retail, and AI tool application.

📝 Enhancement Note: Interview preparation should center on demonstrating a practical, data-informed approach to creative production, with a strong emphasis on AI tool application and performance outcomes.

📌 Application Steps

To apply for this Creative Designer Growth position:

• Submit your application through the provided application link on Workable.

• Curate Your Portfolio: Select 3-5 key projects that best showcase your experience with performance creatives, AI tool integration (especially prompt engineering), and structured creative processes (storyboards, variation sets). Ensure each project clearly articulates the goal, your role, the tools used, and the measurable results.

• Tailor Your Resume: Highlight keywords from the job description, such as "Graphic Design," "Motion Design," "Figma," "AI Design Tools," "Prompt Engineering," "Performance Marketing," "A/B Testing," and "Storyboarding." Quantify achievements where possible.

• Prepare for the Interview: Practice articulating your creative process, especially how you leverage AI and data. Be ready to discuss specific examples from your portfolio and how you approach challenges in a fast-paced, data-driven environment.

• Research Weekday AI: Understand their mission and how they connect companies with talent for innovative roles. Research the retail/e-commerce landscape in India to understand the context for performance creative.

⚠️ 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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