Junior AI First Visual Designer
π Job Overview
Job Title: Junior AI-First Visual Designer
Company: Treasure Data
Location: Mountain View, California, United States / New York, New York, United States
Job Type: FULL_TIME
Category: Marketing Operations / Creative Operations
Date Posted: 2026-04-10T22:58:35
Experience Level: Junior (0-2 years)
Remote Status: Hybrid
π Role Summary
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Spearhead the creation of visually compelling marketing collateral and digital assets, with a strong emphasis on AI-driven design methodologies and prompt engineering.
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Drive high-volume social media content creation, leveraging AI tools to rapidly generate engaging graphics and maintain responsiveness to urgent requests.
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Integrate AI tools to automate repetitive design tasks, scale assets, and significantly enhance overall creative output and workflow efficiency.
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Collaborate closely with marketing teams and stakeholders to present AI-assisted design concepts, articulate design choices, and ensure strict adherence to brand guidelines.
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Contribute to a data-driven, customer-obsessed culture by utilizing AI to accelerate marketing initiatives and improve operational efficiency through creative automation.
π Enhancement Note: This role is positioned at the intersection of creative design and cutting-edge AI technology, demanding a candidate who can not only execute design tasks but also strategically leverage AI to redefine and accelerate the creative process within a marketing operations context. The emphasis on "AI-First" and "rapidly produce compelling deliverables" highlights a need for efficiency and innovation in design execution, which is a key aspect of modern marketing operations.
π Primary Responsibilities
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Design and produce high-quality AI-assisted marketing collateral, including brochures, whitepapers, presentations, and event materials, utilizing AI for layout ideation, image generation, and asset scaling.
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Create high-volume, engaging, and on-brand graphics for social media channels, extensively employing AI-assisted content creation tools for rapid production and adaptability to shifting priorities.
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Rapidly develop and iterate design concepts based on feedback, employing advanced AI prompt engineering as the primary ideation phase while strictly adhering to corporate brand guidelines.
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Actively deploy AI tools to automate repetitive design tasks such as background expansion, asset resizing, and other workflow enhancements to radically increase creative efficiency.
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Confidently present AI-assisted work and clearly communicate design choices to marketing peers and cross-functional organizational stakeholders.
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Contribute to the development and refinement of brand assets, ensuring consistency and impact across all visual communications, with a focus on AI-driven enhancement.
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Collaborate with marketing campaign managers to translate campaign objectives into visually effective designs, maximizing the impact of AI-generated creative elements.
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Maintain an organized digital asset management system for AI-generated and AI-assisted creative work, ensuring easy retrieval and version control.
π Enhancement Note: The responsibilities emphasize a proactive and innovative approach to design, where AI is not just a tool but the foundational engine. The expectation to "radically increase overall creative efficiency" and "accelerate output" points to a need for candidates who can demonstrate tangible improvements in design production timelines and volume through AI integration.
π Skills & Qualifications
Education: Bachelorβs degree in Graphic Design, Visual Arts, or a closely related field.
Experience: 1 to 3 years of professional experience in visual design, with a proven track record of leveraging AI in the creative process.
Required Skills:
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High proficiency in leading AI design tools such as Midjourney, Adobe Firefly, and ChatGPT for content generation, ideation, and workflow enhancement.
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Strong command of core design software including Figma for collaborative design and prototyping, and Adobe Creative Cloud (Illustrator, InDesign, Photoshop) for detailed refinement and production.
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Demonstrated expertise in AI prompt engineering to achieve specific visual outcomes and drive creative direction.
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Proven ability to design high-quality assets for both print and digital mediums, adhering strictly to corporate brand guidelines.
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Excellent verbal and visual communication skills, with the ability to articulate design decisions derived from AI processes.
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Self-driven time management and the ability to adapt to fast-paced, AI-driven workflows and urgent requests.
Preferred Skills:
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Previous experience working within a B2B technology company, understanding its unique design needs and marketing strategies.
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Experience with web updates using a Content Management System (CMS) and basic HTML/CSS knowledge for digital asset implementation.
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Skills in video editing and motion graphics, with a specific interest or experience in incorporating AI-driven video generation, animation, or audio enhancement tools.
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Familiarity with customer data platforms (CDPs) and their role in driving customer experiences.
π Enhancement Note: The explicit requirement for proficiency in specific AI design tools and prompt engineering is critical. This indicates that candidates are expected to be early adopters and masters of AI in design, not just users of traditional design software. The "1 to 3 years" experience level, combined with the advanced AI requirements, suggests the company is looking for individuals who have proactively integrated AI into their early career design practice.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A comprehensive portfolio showcasing a strong foundation in visual design principles across digital and print mediums.
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A clear and prominent emphasis on AI-generated or AI-assisted pieces, demonstrating practical application of AI tools in the design process.
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Case studies or examples detailing how AI was used to ideate, create, scale, or automate design tasks, with measurable outcomes where possible.
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Examples of rapid concept iteration and responsiveness to feedback, highlighting the ability to adapt designs swiftly using AI capabilities.
Process Documentation:
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Examples of workflow documentation or explanations that illustrate how AI tools were integrated to streamline design processes, from ideation to final asset delivery.
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Documentation or discussion points on how AI prompt engineering was used to achieve specific design objectives and how these prompts evolved over time.
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Evidence of how AI was used to automate repetitive tasks, such as resizing, background expansion, or formatting, and the resulting efficiency gains.
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Case studies that highlight the ability to scale creative output significantly using AI-driven methodologies for campaigns or social media.
π Enhancement Note: The portfolio is paramount for this role, specifically needing to highlight AI integration. Candidates should be prepared to showcase projects where AI played a central role in concept development, asset creation, and workflow optimization, demonstrating practical AI application and efficiency gains.
π΅ Compensation & Benefits
Salary Range: $70,000 - $90,000 USD per year.
Explanation: This range is based on the provided salary data and aligns with junior-level visual design roles in high-cost-of-living areas like Mountain View and New York, particularly those requiring specialized skills in emerging AI technologies. The salary reflects the demand for candidates who can effectively integrate AI into their design workflow, contributing to accelerated marketing operations and improved creative efficiency.
Benefits:
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Comprehensive medical, dental, and vision plans designed to support employee well-being.
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Employee Assistance Program (EAP) offering confidential support for personal and professional challenges.
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Company-paid life insurance coverage, equivalent to 3x salary, providing significant financial security for beneficiaries.
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Company-paid short-term and long-term disability coverage to ensure income protection during unforeseen circumstances.
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Retirement planning through a 401K program with a generous 4% company match, aiding long-term financial growth.
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Restricted Stock Units (RSU) participation, offering employees a stake in the company's success.
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Flexible Time Off (FTO) policy, empowering employees to manage their personal time effectively.
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Up to 26 weeks of paid parental leave, including a post-partum night nurse, reflecting a strong commitment to family support.
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Comprehensive reproductive health and family-building benefits through Carrot, supporting diverse family planning needs globally.
Working Hours: Approximately 40 hours per week, with flexibility expected to accommodate AI-driven workflows and urgent requests common in marketing operations.
π Enhancement Note: The salary range is competitive for a junior role, reflecting the specialized AI skills and the hybrid work arrangement in high-cost tech hubs. The extensive benefits package emphasizes a strong employee-centric culture, particularly around health, family, and financial well-being, which can be attractive to operations professionals seeking long-term stability.
π― Team & Company Context
π’ Company Culture
Industry: Software - Customer Data Platforms (CDPs) and AI-driven Customer Experience solutions. Treasure Data operates in the rapidly evolving MarTech/AdTech space, focusing on leveraging data and AI to enhance customer engagement and drive business outcomes.
Company Size: The company size is not explicitly stated in the provided data, but the presence of multiple office locations and a comprehensive benefits package suggests a mid-sized to large organization with established operations.
Founded: Treasure Data was founded in 2011, giving it over a decade of experience in the data and AI space, establishing a solid foundation and market presence.
Team Structure:
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The Junior AI-First Visual Designer will join the Marketing team, likely reporting to a Marketing Manager or Creative Lead.
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The role implies close collaboration with other marketing functions such as campaign management, content creation, and digital marketing specialists.
Methodology:
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Treasure Data emphasizes a "data-driven, customer-obsessed" approach, aligning with modern operations principles.
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The company culture values "driversβself-starters who take initiative, anticipate needs, and proactively jump in to solve problems," which extends to operations roles expecting proactive problem-solving and efficiency improvements.
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Honesty, reliability, openness, and humility are listed as core values, suggesting an environment that prioritizes transparency and collaborative problem-solving.
Company Website: https://jobs.treasuredata.com
π Enhancement Note: Treasure Data's focus on AI and customer data positions it at the forefront of technological innovation. The company culture described emphasizes proactivity, data-driven decision-making, and a strong team orientation, which are all highly relevant to operations professionals seeking an environment where their contributions can have a significant impact.
π Career & Growth Analysis
Operations Career Level: This is a Junior-level role, typically for individuals with 0-2 years of experience. It serves as an entry point into specialized creative operations within the marketing technology sector, focusing on the practical application of emerging AI design tools.
Reporting Structure: The Junior AI-First Visual Designer will likely report to a Marketing Manager or Creative Director within the Marketing department. This structure allows for mentorship and guidance in both design execution and AI integration.
Operations Impact: The role's impact is significant in terms of accelerating the speed and volume of marketing content production. By leveraging AI, this designer can directly contribute to more frequent and diverse campaign executions, enhancing brand visibility and lead generation efforts. The efficiency gains from AI integration can free up senior marketing resources for strategic initiatives.
Growth Opportunities:
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AI Specialization: Deepen expertise in AI prompt engineering and explore advanced AI design techniques, potentially leading to roles like Senior AI Visual Designer or AI Creative Strategist.
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Marketing Operations Advancement: Transition into broader marketing operations roles, focusing on process optimization, martech stack management, and campaign execution efficiency, leveraging design and AI insights.
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Creative Leadership: Develop skills in managing creative projects, leading design initiatives, and potentially managing junior design staff as the team grows, with a continued focus on AI integration.
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Cross-Functional Skill Development: Gain exposure to other areas of marketing, such as content strategy, digital campaign management, or product marketing, by applying AI-driven design solutions across different initiatives.
π Enhancement Note: The growth path for this role is heavily influenced by the rapid advancements in AI. Candidates are encouraged to view this as an opportunity to build a foundational career in AI-augmented creative operations, with clear potential for specialization and leadership within the evolving MarTech landscape.
π Work Environment
Office Type: The role is based on a "Global Hybrid Working Policy," indicating a blend of in-office collaboration and remote work flexibility. This suggests a modern work environment that balances team cohesion with individual autonomy.
Office Location(s): The specified office locations are:
- Mountain View, California, USA (2440 W El Camino Real suite 101, 94040)
Workspace Context:
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Employees are expected to work from the office according to the hybrid policy, suggesting opportunities for in-person collaboration, team meetings, and access to office resources.
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The environment is likely to be fast-paced and technologically driven, given Treasure Data's focus on AI and customer data.
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Collaboration with peers and cross-functional teams is expected to be a significant part of the daily routine, facilitated by both in-office interactions and digital communication tools.
Work Schedule: While standard working hours are implied (e.g., 40 hours/week), the nature of AI-driven workflows and urgent marketing requests may necessitate flexibility. The hybrid policy likely allows for some autonomy in scheduling, provided operational needs and collaborative requirements are met.
π Enhancement Note: The hybrid work model in major tech hubs like Mountain View and New York offers a balance of in-person engagement and remote flexibility. Operations professionals can expect a dynamic workspace where technology, collaboration, and efficiency are paramount, supported by a structured yet adaptable work schedule.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess foundational design skills and AI integration experience. Be prepared to highlight specific AI tools and projects.
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Technical/Creative Interview: This stage will likely involve a deeper dive into your portfolio, focusing on your AI prompt engineering skills, proficiency with design software, and understanding of brand guidelines. You may be asked to walk through specific AI-assisted projects.
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Design Challenge/Case Study: Expect a practical exercise where you might be asked to generate assets using AI based on a brief, or present a case study on how you've used AI to solve a design problem or improve efficiency in a previous role. Focus on demonstrating your process and results.
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Team/Hiring Manager Interview: This will assess your cultural fit, communication skills, ability to collaborate within a marketing team, and understanding of Treasure Data's mission and values. Discuss how your AI-driven approach aligns with their "AI-First" and "data-driven" culture.
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Final Interview: Potentially with senior leadership, focusing on strategic thinking, long-term potential, and alignment with the company's vision.
Portfolio Review Tips:
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AI Integration is Key: Clearly label and explain the role of AI in each relevant project. Quantify the impact where possible (e.g., "reduced asset creation time by X%", "generated Y variations in Z minutes").
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Showcase Prompting Skills: Include examples of effective AI prompts and the resulting designs, illustrating your ability to guide AI output.
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Demonstrate Brand Adherence: Show how you maintain brand consistency and control when using AI-generated elements.
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Variety of Mediums: Include examples of both digital and print collateral, as well as social media graphics.
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Process Over Perfection: Explain your thought process, including challenges encountered when using AI and how you overcame them.
Challenge Preparation:
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AI Tool Familiarity: Practice using Midjourney, Adobe Firefly, and ChatGPT for various design tasks. Be ready to explain your preferred workflows and techniques.
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Brand Guideline Application: Study Treasure Data's brand guidelines beforehand (if available) and be prepared to apply them to AI-generated concepts.
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Efficiency Metrics: Think about how to measure and articulate the efficiency gains achieved through AI in your design work.
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Communication Clarity: Prepare to clearly and concisely explain technical AI concepts and design choices to a non-technical audience.
π Enhancement Note: The interview process will heavily scrutinize the candidate's practical application of AI in design. Candidates should prepare a portfolio that doesn't just showcase design skills but specifically demonstrates how AI has been a core component in achieving creative objectives and driving operational efficiency.
π Tools & Technology Stack
Primary Tools:
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AI Design Tools: Midjourney, Adobe Firefly, ChatGPT (as primary creation and ideation engines). Candidates must demonstrate advanced proficiency and strategic use.
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Prototyping & Collaboration: Figma (for collaborative design, wireframing, and prototyping). Essential for team-based design workflows.
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Graphic Design Software: Adobe Creative Cloud Suite, specifically Illustrator (vector graphics), InDesign (layout and print design), and Photoshop (image editing and manipulation).
Analytics & Reporting:
- While not directly responsible for analytics, the role may involve using AI tools to analyze design performance or trends, and reporting on the efficiency of AI-driven workflows.
CRM & Automation:
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Familiarity with marketing automation platforms and CRM systems (though not directly used for design) can provide context for how design assets are deployed in campaigns.
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AI tools for workflow automation are a core requirement, focusing on repetitive design tasks.
π Enhancement Note: The technology stack is heavily weighted towards AI and collaborative design tools. Proficiency in these specific AI platforms is non-negotiable, distinguishing this role from traditional visual designer positions. The emphasis on workflow automation through AI is a key operational component.
π₯ Team Culture & Values
Operations Values:
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AI-First Mindset: A core value is embracing and leading with Artificial Intelligence in all aspects of creative production, pushing boundaries for efficiency and innovation.
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Data-Driven Creativity: Decisions and design directions are expected to be informed by data insights and performance metrics, with AI serving as a tool to both generate and analyze creative outputs.
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Customer Obsession: All creative work should aim to resonate with and effectively engage the target customer, using AI to personalize and optimize messaging and visuals.
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Proactive Problem-Solving: Employees are encouraged to be self-starters, anticipating needs and proactively seeking solutions, particularly in optimizing creative workflows through AI.
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Honesty, Reliability, Openness, Humility: These foundational values foster a transparent and collaborative environment where feedback is welcomed, and team members support each other's growth and success.
Collaboration Style:
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Cross-Functional Integration: The role requires seamless collaboration with marketing campaign managers, content creators, and potentially sales enablement teams, ensuring design aligns with broader business objectives.
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Feedback Loops: An open culture for constructive feedback on AI-assisted designs is essential for iteration and improvement.
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Knowledge Sharing: Sharing insights and best practices on AI prompt engineering and AI design tools within the marketing team is encouraged to elevate collective capabilities.
π Enhancement Note: The company culture strongly emphasizes innovation through AI, data-informed decision-making, and a proactive, collaborative spirit. For an operations-minded designer, this means being comfortable with rapid iteration, data analysis informing creative choices, and actively contributing to team efficiency through AI.
β‘ Challenges & Growth Opportunities
Challenges:
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Rapidly Evolving AI Landscape: Staying current with the fast pace of AI tool development and new generative capabilities will require continuous learning and adaptation.
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Maintaining Brand Integrity with AI: Ensuring AI-generated assets consistently adhere to brand guidelines and maintain a high level of quality and authenticity can be challenging.
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Balancing AI Efficiency with Originality: Finding the creative edge and unique artistic voice within AI-driven workflows to avoid generic outputs.
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Educating Stakeholders: Communicating the value and capabilities of AI in design to internal stakeholders who may not be familiar with the technology.
Learning & Development Opportunities:
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AI Design Specialization: Opportunities to become a subject matter expert in AI-driven visual design, attending industry workshops, and potentially earning certifications in AI creative tools.
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MarTech Integration: Learning how AI-generated design assets integrate into broader marketing technology stacks and campaign automation processes.
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Advanced Prompt Engineering: Developing sophisticated prompt engineering skills to unlock more nuanced and complex creative outputs from AI models.
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Cross-Disciplinary Exposure: Potential to explore AI applications in other creative fields like video, motion graphics, or interactive design.
π Enhancement Note: This role presents a unique opportunity to be at the forefront of AI in design. The primary challenge lies in navigating the rapid evolution of AI technology and strategically applying it to maintain creative quality and brand consistency, while the growth opportunities are centered around becoming a leader in this emerging field.
π‘ Interview Preparation
Strategy Questions:
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"Describe your process for using AI tools like Midjourney or Adobe Firefly to generate initial design concepts for a marketing campaign. How do you iterate on these concepts based on feedback?" (Focus on prompt engineering, iteration, and stakeholder feedback integration).
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"How do you ensure that AI-generated visuals remain consistent with brand guidelines and maintain a unique brand voice?" (Prepare examples of brand adherence when using AI).
Company & Culture Questions:
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"What excites you about Treasure Data's mission and its use of AI in customer data platforms?" (Research Treasure Data's products and market position).
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"How do you see yourself contributing to our 'AI-First' and 'data-driven' culture as a visual designer?" (Connect your skills and approach to their stated values).
Portfolio Presentation Strategy:
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Structure by AI Impact: Organize your portfolio to prominently feature AI-driven projects. For each, clearly state the challenge, your AI-driven solution, the tools used, and the results (efficiency, output volume, creative impact).
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Demonstrate Prompting: Show examples of your prompts alongside the generated images, explaining your strategic choices.
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Quantify Efficiency: If possible, provide metrics on time saved or increased output due to AI integration.
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Brand Consistency: Highlight projects where you successfully applied brand guidelines to AI-generated content.
π Enhancement Note: Interview preparation should focus on articulating a clear understanding of AI's role in design and marketing operations. Candidates need to demonstrate not just technical proficiency but also strategic thinking about how AI can drive efficiency, creativity, and business outcomes.
π Application Steps
To apply for this operations position:
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Submit your application through the provided link on the Treasure Data careers page.
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Curate Your AI-Centric Portfolio: Ensure your portfolio prominently features projects where AI was central to the design process. Highlight specific AI tools used (Midjourney, Adobe Firefly, ChatGPT) and quantify efficiency gains or creative outputs where possible.
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Tailor Your Resume: Emphasize keywords such as "AI-First Visual Designer," "Prompt Engineering," "AI-driven design," "workflow automation," "Figma," and "Adobe Creative Cloud." Clearly articulate your years of experience and any relevant B2B technology or MarTech exposure.
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Prepare Your AI Design Narrative: Be ready to discuss your AI design workflow, your experience with prompt engineering, how you maintain brand consistency with AI-generated assets, and specific examples of how you've improved efficiency. Practice articulating these points clearly and concisely.
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Research Treasure Data: Understand their mission, products (especially their AI capabilities and CDP), and company values. Prepare to articulate how your AI-first design approach aligns with their culture and business objectives.
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
Candidates must hold a bachelor's degree in Graphic Design or a related field and possess 1 to 3 years of professional design experience. Proficiency in AI design tools like Midjourney and Adobe Firefly, alongside standard Adobe Creative Cloud software, is required.