Brand Designer, AI & Ops

📍 Job Overview

Job Title: Brand Designer, AI & Ops

Company: Lovable

Location: Stockholm, Sweden / United Kingdom

Job Type: Full-Time

Category: Brand Design / Creative Operations

Date Posted: August 06, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Spearhead the visual identity and brand expression for a cutting-edge software creation company, leveraging generative AI as a primary production method.

• Drive the evolution of brand assets, campaign visuals, social graphics, and marketing collateral through advanced AI prompting and output direction.

• Collaborate closely with a Brand Engineer to develop and scale AI-native production workflows and custom tooling for brand asset creation.

• Establish and maintain robust, scalable brand systems and guidelines designed for AI execution, ensuring consistency and high creative quality.

• Contribute to a fast-paced, innovative environment where new roles and processes are defined collaboratively.

📝 Enhancement Note: While the title includes "AI & Ops," this role is primarily focused on Brand Design with a strong emphasis on AI-driven production workflows and brand system scalability. The "Ops" aspect refers to the operationalization of brand creation through AI and tooling, rather than traditional operational support. The hybrid nature suggests a need for on-site collaboration in either Stockholm or the UK.

📈 Primary Responsibilities

• Visual Identity Evolution: Lead the strategic development and execution of Lovable's visual identity across all brand touchpoints, including marketing campaigns, social media, events, and partnerships.

• AI-Native Brand Systems: Build and maintain sophisticated visual systems, including style references, fine-tuned AI models (LoRAs), and prompt libraries, enabling machines to execute brand guidelines effectively.

• AI Output Direction & Curation: Direct, curate, and refine AI-generated visual output at high volume, acting as the primary quality control and creative judgment layer for all brand assets.

• Scalable Brand Guidelines: Establish and document comprehensive brand guidelines and systems that ensure visual consistency and brand integrity as the company scales rapidly, specifically within an AI-native production framework.

• Cross-Functional Collaboration: Partner closely with a dedicated Brand Engineer to define the requirements for tooling and systems that enable AI-driven brand asset creation at scale, translating creative needs into technical specifications.

• Hands-on Creative Execution: Remain capable of hands-on creative work for specific, intentional brand needs, ensuring a balance between AI-driven efficiency and bespoke craft when required.

• Creative Quality Standards: Set and uphold the highest standards for creative quality, taste, and brand expression within Lovable.

📝 Enhancement Note: The responsibilities highlight a unique blend of traditional brand design expertise with advanced AI proficiency. The emphasis on "directing AI output" and "machines executing against brand systems" indicates a need for strategic thinking about how AI can be integrated into creative workflows, rather than just using AI as an enhancement tool.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Graphic Design, Visual Communications, or a related field, or equivalent practical experience. Experience:

• 5-10 years of professional experience in brand design, visual identity development, and creative production, with a proven track record of shipping impactful brand assets.

• Demonstrable experience in creating and scaling brand systems, templates, and guidelines that enable efficient execution across various channels. Required Skills:

• Strong Design Taste: Exceptional aesthetic judgment with the ability to discern high-quality, distinctive design from generic output, coupled with the articulation of design principles.

• Generative AI Fluency: Deep practical expertise and hands-on experience with a range of generative AI tools (image, video, etc.) as a primary production method, not just an assisted one. This includes understanding different models and their output characteristics.

• Prompt Engineering: Proficient in crafting effective prompts to guide AI models towards desired visual outcomes, demonstrating an understanding of AI-driven creative direction.

• Visual Identity Development: Proven ability to create and evolve comprehensive visual identities that are cohesive and impactful across diverse platforms.

• Brand Systems Design: Experience in building scalable, systematic brand frameworks that can be applied consistently and efficiently, with an understanding of how AI can interact with these systems.

• Technical Range: Comfort and aptitude for technical aspects, including scripting, automation, and potentially building custom tools. Proficiency in prompt engineering is essential; broader technical skills are highly advantageous.

Preferred Skills:

• AI-Native Production: Portfolio showcasing evidence of AI-native production methods, demonstrating the ability to leverage AI as a core component of the creative process.

• Workflow Optimization: Experience in designing and implementing efficient creative workflows, particularly those involving automation and AI integration.

• Cross-functional Collaboration: Ability to work effectively with engineers and other technical teams, translating creative vision into actionable technical requirements.

• Experience with Fine-tuning/LoRAs: Familiarity with AI model fine-tuning techniques or concepts like LoRAs for specific brand asset generation.

• Agile/Fast-Paced Environment Experience: Proven ability to thrive in ambiguous, rapidly evolving environments, comfortable defining new processes and roles.

📝 Enhancement Note: The emphasis on "AI-native production" and "technical range" suggests that candidates will be evaluated not just on their design portfolio but also on their demonstrated ability to integrate AI into their workflow and their potential to collaborate with engineering on tooling. This role requires a forward-thinking designer who is comfortable pushing the boundaries of traditional design practices.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Driven Case Studies: Showcase at least 1-2 detailed case studies demonstrating how generative AI was a primary tool in the brand asset creation process, highlighting the problem, your approach (prompting strategies, model selection), the AI output, and the final refined outcome.

• Scalable Brand Systems: Include examples of brand systems, style guides, or template libraries that were designed for efficient and consistent application, ideally with a discussion on how these could be adapted for AI execution.

• Volume Production Examples: Present a range of shipped brand assets (campaign visuals, social graphics, presentation decks, marketing collateral) that illustrate your ability to produce high-quality work at scale.

• Evidence of Technical Aptitude: While not always explicitly visible, your portfolio should implicitly or explicitly suggest your comfort with technical aspects, such as showing a complex workflow or discussing automation in your process.

Process Documentation:

• Candidates may be asked to briefly outline their process for developing a brand asset using AI, from conceptualization to final delivery, emphasizing efficiency, quality control, and iteration.

• Be prepared to discuss how you would document and scale brand guidelines for AI consumption and execution.

📝 Enhancement Note: The portfolio is critical for this role, with a specific requirement to demonstrate AI-native production. Candidates should focus on showcasing projects where AI was not just an assistant but a core component of their creative strategy and execution. The ability to articulate the "why" and "how" behind AI integration will be key.

💵 Compensation & Benefits

Salary Range:

• Based on the seniority (5-10 years experience), location (Stockholm, Sweden / United Kingdom), and the specialized nature of AI and brand design expertise, a competitive salary range is estimated.

• For Stockholm, Sweden: Approximately SEK 600,000 - 900,000 annually.

• For the United Kingdom: Approximately £55,000 - £85,000 annually.

• These ranges are estimates and will depend on the candidate's specific experience, skills, and the final negotiation. Benefits:

• Health & Wellness: Comprehensive health insurance, potentially including dental and vision coverage.

• Work-Life Balance: Generous paid time off (PTO), public holidays, and flexible working arrangements, including hybrid work.

• Professional Development: Opportunities for continuous learning, workshops, conferences, and access to AI and design tooling.

• Equity/Stock Options: Potential for stock options in a fast-growing startup, offering participation in the company's success.

• Relocation Assistance: Support for candidates relocating to Stockholm or the UK, if applicable.

• Equipment: Provision of necessary hardware and software for design and AI work.

Working Hours:

• Standard full-time hours, estimated at 40 hours per week, with flexibility. The hybrid model allows for a mix of remote and in-office work.

📝 Enhancement Note: Salary ranges have been estimated based on typical compensation for experienced Brand Designers with specialized AI skills in these regions, considering the startup environment. Benefits are inferred based on common offerings for tech companies of this nature.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Creation / Generative AI Technology. Lovable is at the forefront of democratizing software development through AI, enabling a broad user base to build applications and websites.

Company Size: Small, talent-dense team. This suggests a highly collaborative, agile, and impactful environment where individual contributions are highly visible.

Founded: Lovable is a relatively new venture, likely founded in recent years, positioning it as an innovative and fast-moving startup.

Team Structure:

• Cross-functional Teams: Designers work closely with Brand Engineers and potentially product teams, emphasizing collaboration between creative and technical disciplines.

• Lean & Agile: The small team size implies a flat hierarchy and a focus on rapid iteration and execution.

• High Ownership Culture: Team members are expected to take significant responsibility for their work and its outcomes.

Methodology:

• AI-First Production: Embracing generative AI and custom tooling as primary methods for creative output and operational efficiency.

• Velocity & Iteration: Prioritizing shipping fast and iterating based on feedback and performance.

• Low-Ego Collaboration: Encouraging open communication, constructive feedback, and teamwork without ego.

Company Website: https://lovable.dev

📝 Enhancement Note: Lovable appears to be a forward-thinking tech startup focused on AI and democratizing software creation. The culture is described as talent-dense, high-velocity, and low-ego, suggesting an environment where innovation and rapid execution are paramount. The brand designer will be instrumental in shaping the company's visual narrative in this dynamic context.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level Brand Designer, with significant responsibility for shaping a new function within the company. It's not a traditional "Operations" role but an "AI & Ops" focused design role, implying a strategic impact on how brand assets are produced and scaled.

Reporting Structure: Likely reports to a Head of Design, Creative Director, or potentially a Marketing Lead, with close day-to-day collaboration with a Brand Engineer.

Operations Impact: The Brand Designer's work will directly impact Lovable's market perception, brand recognition, and the efficiency of its creative output. By operationalizing brand creation through AI, they will contribute to the company's scalability and speed to market.

Growth Opportunities:

• Functional Specialization: Deepen expertise in AI-driven creative production, prompt engineering, and building AI-powered brand systems.

• Leadership Potential: As the first in this specialized role, there's an opportunity to build and lead a future brand production team focused on AI.

• Strategic Influence: Directly influence the company's brand strategy and visual language, contributing to a generation-defining product.

• Skill Expansion: Opportunity to learn and grow in areas like scripting, automation, and advanced AI model development through collaboration with the Brand Engineer.

📝 Enhancement Note: This is a unique opportunity to define a new role at the intersection of brand design and AI. Growth will be driven by innovation, the ability to scale creative operations through AI, and strategic input into the company's visual direction.

🌐 Work Environment

Office Type: Hybrid. This indicates a mix of remote work and in-office collaboration, likely in Stockholm or a UK location. The office environment is expected to be modern and conducive to collaborative work.

Office Location(s): Stockholm, Sweden and United Kingdom. Candidates can choose their preferred location for hybrid work.

Workspace Context:

• Collaborative Hub: Office space designed to foster interaction, ideation, and problem-solving, especially between design and engineering.

• Technology-Forward: Access to cutting-edge design software, AI tools, and potentially specialized hardware.

• Innovation Hub: An environment where experimentation with new technologies like generative AI is encouraged and integrated into daily workflows.

Work Schedule:

• Full-time, hybrid arrangement. The flexibility allows for focused individual work (remote) and collaborative sessions (in-office), supporting efficient process development and creative output.

📝 Enhancement Note: The hybrid nature offers flexibility, but candidates should be prepared for regular in-office collaboration, especially in Stockholm. The environment is geared towards innovation and leveraging technology, particularly AI, in daily operations.

📄 Application & Portfolio Review Process

Interview Process:

• Application Form & Exploratory Call: Initial screening of your application and a brief introductory call to assess basic fit and interest.

• Loom Video Presentation (Take-Home): A concise take-home assignment requiring you to present your best work and design philosophy via a Loom video. This is a key opportunity to showcase your AI-native approach and design taste.

• In-Depth Interviews: A series of interviews to discuss your experience, portfolio, approach to AI in design, and cultural fit with the team.

• Trial Work (1-2 Days): A short, paid trial period (remote or on-site) to experience working with the team, allowing both parties to assess mutual fit.

Portfolio Review Tips:

• Highlight AI-Native Projects: Clearly label and explain projects where generative AI was a primary production tool. Detail your prompt engineering strategies and how you curated/refined AI output.

• Demonstrate Scalability: Showcase how you've built brand systems or templates that enable efficient, consistent execution. Explain how these systems could be adapted for AI.

• Showcase Design Taste: Ensure your portfolio reflects a strong, consistent, and distinctive design aesthetic.

• Articulate Your Process: Be ready to walk through your creative process, especially your approach to integrating AI, managing ambiguity, and collaborating with technical counterparts.

• Focus on Impact: Quantify your achievements where possible (e.g., increased efficiency, consistent brand application).

Challenge Preparation:

• AI Prompting Exercise: Be prepared for discussions or exercises related to prompt engineering for specific brand assets.

• Brand System Design Discussion: Anticipate questions about how you would design or evolve a brand system for an AI-driven production environment.

• Problem-Solving Scenarios: Discuss how you would handle ambiguous creative briefs or challenges related to AI output quality.

📝 Enhancement Note: The interview process is designed to assess not only design skills but also the candidate's comfort with AI, their ability to define new processes, and their collaborative potential with engineers. The Loom video presentation is a critical early stage for showcasing your unique approach.

🛠 Tools & Technology Stack

Primary Tools:

• Generative AI Platforms: Proficiency with leading AI image generation tools (e.g., Midjourney, Stable Diffusion, DALL-E 3) and potentially video generation tools.

• Design Software: Expert-level proficiency in industry-standard design tools such as Adobe Creative Suite (Photoshop, Illustrator, InDesign), Figma, or similar.

• AI Model Concepts: Understanding of concepts like fine-tuning, LoRAs, and model selection for specific creative needs.

Analytics & Reporting:

• While not a direct analytics role, an understanding of how brand asset performance is measured (e.g., engagement metrics for social graphics, conversion rates for campaign visuals) is beneficial. CRM & Automation:

• Familiarity with project management tools (e.g., Asana, Jira, Trello) for workflow tracking.

• Basic understanding of automation concepts and how they apply to creative workflows.

• Scripting/Automation: Experience with scripting languages (e.g., Python) or automation tools for creative processes is highly valued.

📝 Enhancement Note: The core of this role's technical requirement lies in generative AI tools and design software. However, a significant differentiator will be any experience with scripting, automation, or custom tool development that bridges design and engineering.

👥 Team Culture & Values

Operations Values:

• AI-Driven Innovation: Embracing generative AI and custom tooling as core components of brand creation and operational efficiency.

• High Velocity & Ownership: Commitment to shipping fast, taking responsibility for outcomes, and driving projects to completion.

• Low-Ego Collaboration: A culture that values open communication, constructive feedback, and teamwork across disciplines (design, engineering).

• Extreme Ownership: Taking full responsibility for assigned tasks and their impact on the company's success.

• Data-Informed Creativity: While taste is paramount, understanding how to leverage data to inform creative decisions and measure impact.

Collaboration Style:

• Design-Engineering Partnership: Close working relationship with Brand Engineers to develop and scale AI-driven creative workflows.

• Cross-functional Teamwork: Seamless collaboration with marketing, product, and other teams to ensure brand consistency and effectiveness.

• Feedback-Oriented: An environment where constructive feedback is regularly exchanged to improve creative output and processes.

📝 Enhancement Note: The company culture emphasizes speed, ownership, and innovation, particularly through AI. Candidates should be comfortable in a fast-paced, collaborative environment where they can contribute to defining new processes and working closely with technical teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining a New Function: As a new role, there's inherent ambiguity; the candidate will be instrumental in shaping the function, processes, and best practices for AI-driven brand design.

• Balancing AI and Craft: Finding the optimal balance between leveraging AI for efficiency and scale versus applying human craft and judgment for unique creative moments.

• Technical Integration: Collaborating effectively with engineers to build scalable tooling and workflows that meet creative needs.

• Maintaining Brand Integrity: Ensuring a consistent and high-quality brand identity across all touchpoints, especially with high-volume AI-generated assets.

Learning & Development Opportunities:

• Cutting-Edge AI Exploration: Continuous learning and experimentation with the latest generative AI technologies and techniques.

• Tool Development Collaboration: Hands-on involvement in defining and potentially contributing to the development of custom creative tooling.

• Strategic Brand Leadership: Opportunity to shape the visual narrative of a rapidly growing, generation-defining company.

• Industry Exposure: Working at the forefront of AI's application in creative industries.

📝 Enhancement Note: The primary challenge is the pioneering nature of the role. The growth opportunities are substantial for someone who thrives on defining new ways of working and pushing the boundaries of creative technology.

💡 Interview Preparation

Strategy Questions:

• "How would you approach building a scalable brand system for AI execution?"

• "Describe a project where you used generative AI as a primary production tool. What were your prompts, what was the output, and how did you refine it?"

• "How do you balance creative taste with the need for high-volume, AI-driven output?"

• "Imagine we need a campaign visual for a new feature launch within 24 hours using AI. Walk us through your process."

• "What are your opinions on the current state of generative AI for brand design, and where do you see it heading?" Company & Culture Questions:

• "What excites you about Lovable's mission and our approach to software creation?"

• "How do you handle ambiguity and define processes in a fast-paced startup environment?"

• "Describe your ideal collaboration with an engineer on a creative tooling project."

• "What does 'extreme ownership' mean to you in a creative role?" Portfolio Presentation Strategy:

• Structure Your Loom Video: Start with a concise overview of your background, then dive into 1-2 key projects that best showcase your AI-native approach. Clearly articulate the problem, your AI-driven solution, the results, and your role.

• Highlight AI Integration: For each relevant project, explicitly explain how AI was used, what prompts or models were employed, and how you curated or refined the output.

• Showcase Brand Systems: If you have examples of scalable brand systems, explain their design principles and how they facilitate efficient execution, potentially for AI.

• Be Ready for Deep Dives: During interviews, be prepared to elaborate on any project in your portfolio, discussing your design decisions, technical considerations, and collaborative experiences.

📝 Enhancement Note: Preparation should focus on demonstrating a deep understanding of generative AI's creative applications, a strong design aesthetic, and the ability to think systemically about brand production in an AI-native context. Your Loom video is your primary opportunity to make a strong first impression.

📌 Application Steps

To apply for this operations-focused brand design position:

• Submit your application through the provided link on Ashby.

• Prepare Your Portfolio: Curate your portfolio to prominently feature 1-2 AI-native case studies. Clearly articulate your process, AI tool usage, and the impact of your work. Ensure it highlights your design taste and ability to create scalable brand systems.

• Craft Your Resume: Tailor your resume to emphasize experience with generative AI tools, prompt engineering, brand system design, and working in fast-paced, innovative environments. Quantify achievements where possible.

• Record Your Loom Video: Practice presenting your strongest work concisely and compellingly for the take-home assignment. Focus on demonstrating your unique approach to AI in brand design.

• Research Lovable: Understand their mission, product, and existing brand presence. Consider how your skills and vision can contribute to their growth and visual identity.

⚠️ 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.