Senior / Staff Product Designer

📍 Job Overview

Job Title: Senior / Staff Product Designer

Company: Lovable

Location: Stockholm, Sweden / United Kingdom

Job Type: FULL_TIME

Category: Product Design / GTM Operations Enablement

Date Posted: 2026-04-15

Experience Level: 10+ years

Remote Status: On-site

🚀 Role Summary

• Lead end-to-end product design initiatives within a fast-paced, AI-centric startup environment, driving the creation of intuitive and user-loved software experiences.

• Collaborate closely with engineering teams, and potentially implement designs directly with AI assistance, to ensure seamless product development and rapid iteration cycles.

• Drive the establishment and scaling of design processes that uphold high quality standards while fostering a culture of extreme ownership and low-ego collaboration.

• Contribute to the strategic vision and execution of product design, directly impacting the user experience of a platform used by millions globally to create software.

📝 Enhancement Note: While the title is "Product Designer," the emphasis on "shaping Lovable," "leading projects end-to-end," "collaborating closely with engineering," and "establishing scalable design processes" strongly indicates a role that interfaces with Go-To-Market (GTM) enablement through product-led growth strategies. The focus on user adoption, intuitive experiences, and rapid iteration suggests a need for design that supports sales and marketing efforts by making the product itself a powerful acquisition and retention tool. This role will likely work on features and improvements that directly impact user acquisition, onboarding, and overall product stickiness, thus enabling GTM success.

📈 Primary Responsibilities

• Conceptualize, design, and deliver end-to-end product features, focusing on simplifying complex user journeys into intuitive and engaging experiences.

• Develop detailed user flows, wireframes, and high-fidelity mockups that translate product vision into tangible design specifications.

• Collaborate strategically with engineering teams to ensure accurate and efficient implementation of designs, maintaining design integrity throughout the development lifecycle.

• Proactively identify and champion quick wins and impactful improvements within the product, prioritizing user feedback and business objectives.

• Establish and refine scalable design processes and methodologies that enhance design quality, team efficiency, and cross-functional alignment.

• Contribute to the continuous improvement of Lovable's AI capabilities through thoughtful design input and user-centric iteration.

• Act as a design advocate, setting high standards for visual design, UI patterns, and interaction principles across the product.

• Support the "reimagining how teams work" by designing features that enhance productivity and collaboration for Lovable users.

📝 Enhancement Note: The responsibility to "own design projects from conception to delivery, collaborating with engineering or ideally implementing yourself with AI (we'll train you)" and "Be scrappy and hands on with any design assets needed" suggests a high degree of autonomy and a need for proactive problem-solving typical of senior operations roles. The requirement to "Establish scalable design processes that uphold quality standards" and "Contribute to improving the design quality of Lovable's AI" points to a strategic operational focus on process optimization and quality assurance within the design function.

🎓 Skills & Qualifications

Education: No specific degree is mandated, but a strong portfolio demonstrating equivalent practical experience and expertise is essential.

Experience: A minimum of 10+ years of experience working in high-performing, fast-paced startup environments is required.

Required Skills:

• Proven track record of successful product design within high-velocity teams, evidenced by a strong portfolio.

• Exceptional talent for simplifying complex user journeys into intuitive and user-friendly experiences.

• Strong proficiency in visual design, UI patterns, interaction principles, and user-centered design methodologies.

• Advanced prototyping abilities with a focus on clear and effective visual communication.

• Fluency with design systems, their implementation, and their impact on product consistency and scalability.

• Demonstrated ability to work with technical implementations and collaborate effectively with engineering teams.

• High aptitude for rapid learning and shipping impactful product improvements quickly.

• Experience working in fast-paced, startup environments with a focus on agility and iteration.

Preferred Skills:

• Experience designing AI-driven products or features.

• Direct experience shipping code to production, potentially leveraging AI tools for design implementation.

• Familiarity with modern AI technologies and their application in product design.

📝 Enhancement Note: The requirement for "10+ years experience working in high performing, fast-paced startup environments" and a portfolio showcasing "successful product work loved by users and produced in high-velocity teams" indicates a need for candidates who understand operational efficiency and scalable processes within a GTM context. The "Bonus: You ship to production, perhaps with a little help from AI" and "Bonus: Experience designing AI products" directly align with advanced operations capabilities in leveraging technology for efficiency and innovation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 10 years of product design work, with a strong emphasis on successful end-to-end project delivery in high-velocity startup environments.

• Evidence of user-loved products, demonstrating a deep understanding of user needs and the ability to translate them into highly functional and aesthetically pleasing designs.

• Examples of simplified complex user journeys, illustrating a talent for problem-solving and creating intuitive user flows.

• Demonstrations of strong prototyping abilities, highlighting clear visual and interaction design communication.

• Case studies detailing the application and management of design systems, showcasing their impact on consistency and scalability.

Process Documentation:

• Case studies that detail the establishment and scalability of design processes within previous roles, emphasizing how quality standards were upheld.

• Examples of contributions to improving design quality, particularly in areas involving AI or complex technical integrations.

• Demonstrations of how design processes facilitated rapid iteration and quick wins in a fast-paced environment.

• Documentation of your approach to establishing design quality and culture within a team.

📝 Enhancement Note: The emphasis on a portfolio from "high-velocity teams" and the requirement to "Establish scalable design processes that uphold quality standards" are critical for this role. Candidates should prepare portfolio pieces that not only showcase design output but also the process behind it, highlighting efficiency, collaboration, and measurable impact – key elements in operations and GTM enablement.

💵 Compensation & Benefits

Salary Range:

Based on the required 10+ years of experience, senior/staff level positioning, and the cost of living in Stockholm and other major tech hubs in the UK, a competitive salary range for a Senior/Staff Product Designer in this market would typically be between €80,000 - €130,000 annually, or £70,000 - £115,000 annually in the UK. This range can vary significantly based on specific experience, negotiation skills, and the exact location within the UK.

Benefits:

• Competitive salary and potential for equity in a rapidly growing AI startup.

• Opportunity to work at the forefront of AI-powered software creation.

• Collaborative and talent-dense team environment with a focus on high velocity and low-ego collaboration.

• Professional development opportunities, including training in AI implementation for design.

• Potential for significant impact on a generation-defining company.

• Relocation assistance and support for international candidates (implied by multiple country locations).

• Standard benefits typical of tech companies (e.g., health insurance, pension contributions, paid time off), which would be detailed during the interview process.

Working Hours: The role specifies 40 hours per week, aligning with a standard full-time commitment, but the company culture emphasizes high velocity and shipping fast, suggesting a dynamic and potentially demanding work environment where flexibility might be valued.

📝 Enhancement Note: Salary estimates are based on industry benchmarks for senior-level product design roles in high-cost-of-living European tech hubs like Stockholm and major UK cities, considering the company's focus on AI and startup growth. Benefits are inferred from typical offerings for talent-dense startups in the tech sector, with an emphasis on growth and impact.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software & Technology, Artificial Intelligence (AI), SaaS. Lovable is positioned at the intersection of AI and software creation, aiming to democratize the process of building digital products.

Company Size: Small, talent-dense team. This indicates a highly collaborative, agile environment where individual contributions have significant visibility and impact.

Founded: Lovable was founded with a mission to empower anyone to create software, leveraging AI to achieve this. The company is driven by a vision of enabling widespread innovation.

Team Structure:

• The design team is described as "talent-dense," implying a high concentration of skilled individuals.

• Collaboration is expected to be close with engineering, suggesting a cross-functional team structure where design and development work in tandem.

Methodology:

• Data-Driven Design: The emphasis on "user-loved products" and "impactful improvements" suggests a data-informed approach to design decisions, likely involving user analytics and feedback.

• Agile Development: The mention of "high velocity," "shipping fast," and "rapid iteration" points to an agile development methodology.

• AI Integration: The core of Lovable's product is AI, meaning design processes and outcomes are likely integrated with or influenced by AI capabilities.

Company Website: https://lovable.dev

📝 Enhancement Note: The company culture is central to Lovable's identity. The "talent-dense" nature and focus on "high velocity" and "extreme ownership" are key indicators for operations professionals. This suggests that processes are lean, decision-making is rapid, and individuals are expected to be highly autonomous and proactive in driving results. The AI focus also implies a forward-thinking and innovative operational mindset.

📈 Career & Growth Analysis

Operations Career Level: Senior/Staff Product Designer. This level signifies a deep level of expertise, strategic thinking, and leadership potential within the design discipline. It implies ownership of significant product areas, mentorship capabilities, and the ability to influence product strategy and design processes.

Reporting Structure: While not explicitly stated, a Senior/Staff Designer in a small, talent-dense team typically reports to a Head of Design, VP of Product, or directly to a Founder. They are expected to operate with a high degree of autonomy, leading their own projects and potentially mentoring junior designers if the team grows.

Operations Impact: The role is central to shaping the user experience of a platform that enables millions to create software. The impact is directly tied to user adoption, engagement, and satisfaction, which in turn drives GTM success through product-led growth. Designing intuitive interfaces and streamlining user journeys directly supports sales and marketing by making the product easier to understand, adopt, and advocate for.

Growth Opportunities:

• Leadership: Opportunity to grow into a design leadership role as the company scales, potentially managing a team or defining the design strategy for new product areas.

• AI Specialization: Deepen expertise in designing AI-powered products, becoming a leader in this emerging field.

• Process Optimization: Lead initiatives to refine and scale design operations and processes, contributing to the overall efficiency of the product development lifecycle.

• Product Strategy: Influence the broader product roadmap and strategy through design insights and user advocacy.

• Entrepreneurial Experience: Gain invaluable experience in a fast-growing, AI-focused startup environment, contributing to a "generation-defining company."

📝 Enhancement Note: The "Staff" title suggests a senior individual contributor role with significant influence, akin to a principal engineer. In operations terms, this means the candidate will not only execute but also define and optimize processes, which is a core GTM operations function. Their growth path likely involves increasing strategic input and potential leadership in design operations.

🌐 Work Environment

Office Type: The company has offices in Stockholm, Sweden, and is open to candidates in the United Kingdom. The description implies an on-site or hybrid work model, with specific mention of "trial work lasting 1-2 days remote or on-site," suggesting a preference for in-person collaboration.

Office Location(s): Stockholm, Sweden and the United Kingdom. This provides flexibility for candidates in these regions.

Workspace Context:

• Collaborative Environment: A "talent-dense team" and "low-ego collaboration" suggest an open and communicative workspace where ideas are shared freely.

• AI-Centric Tools: Candidates can expect to work with cutting-edge design tools and potentially leverage AI for design assistance and implementation.

• Cross-functional Interaction: Opportunities for close interaction with engineering and potentially product management to drive product development.

Work Schedule: The role is full-time (40 hours/week), but the company's emphasis on "high velocity" and "shipping fast" indicates a dynamic work environment that may require dedication and adaptability. Flexibility may be offered, but the core expectation is delivery.

📝 Enhancement Note: The emphasis on "on-site" trial work and the presence of physical office locations in Stockholm and the UK suggest a company that values in-person collaboration for critical stages like trial work and team integration. This is common for operations-focused roles where team cohesion and rapid problem-solving are paramount.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Exploratory Call: A brief initial conversation after submitting a form to assess basic fit and interest.

2. Take-Home Assignment & Loom Video: A concise assignment requiring candidates to present their best work via a Loom video, focusing on a specific product challenge or showcasing key portfolio pieces.

3. In-depth Interviews: A series of interviews designed to delve deeper into the candidate's experience, skills, and approach to design and problem-solving.

4. Trial Work (1-2 days): A practical, hands-on trial, either remote or on-site, allowing both the candidate and the team to assess mutual fit and working style.

Portfolio Review Tips:

• Curate for Impact: Select 2-3 of your most impactful projects that best demonstrate your 10+ years of experience in high-velocity startups and your ability to create "user-loved" products.

• Focus on Process & Problem-Solving: For each project, clearly articulate the problem you were solving, your design process, the challenges you faced, and how you collaborated with engineering. Highlight how you simplified complex user journeys.

• Showcase AI/Technical Aptitude: If you have experience with AI products or have leveraged technology (including AI) to aid in design implementation or workflow efficiency, emphasize this.

• Visual Communication: Ensure your portfolio is visually compelling and easy to navigate. Use high-quality visuals, prototypes, and clear explanations.

• Loom Video Strategy: Prepare your Loom video specifically for the take-home assignment, focusing on clarity, conciseness, and showcasing your best relevant work and communication style. Practice your delivery to ensure it's engaging and professional.

• Quantify Results: Where possible, include metrics or evidence of user satisfaction and business impact resulting from your designs.

Challenge Preparation:

• Understand Lovable's Vision: Research Lovable's mission, product, and target audience thoroughly. Understand how AI is integrated.

• Prepare for Process Questions: Be ready to discuss how you establish and scale design processes, uphold quality standards, and contribute to a design culture.

• Demonstrate Agility: Prepare to discuss how you operate in fast-paced environments, iterate quickly, and handle ambiguity.

• AI & Technical Readiness: Be prepared to discuss your thoughts on designing AI products and your willingness to learn and implement with AI assistance.

📝 Enhancement Note: The interview process emphasizes practical demonstration (Loom video, trial work) and a focus on past performance in relevant environments ("high-velocity teams," "startup environments"). For an operations-minded candidate, this means highlighting efficiency in their portfolio and interview responses.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Proficiency in industry-standard tools such as Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), and prototyping tools (e.g., InVision, Principle, ProtoPie) is expected.

• Design Systems: Experience creating, managing, and utilizing design systems.

• Collaboration Tools: Familiarity with tools like Slack, Jira, Confluence for team communication and project management.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar for understanding user behavior and product performance.

• Data Visualization: Ability to interpret and present data insights, potentially using tools like Tableau or Looker (though less common for pure design roles, understanding data is key).

CRM & Automation:

• While not directly a CRM/Automation role, understanding how design impacts user onboarding and adoption within a product that likely has CRM or marketing automation integrations is beneficial. Awareness of how design decisions influence conversion funnels and user engagement metrics is valuable.

📝 Enhancement Note: The mention of "implementing yourself with AI (we'll train you)" is a significant indicator. Candidates should be prepared to discuss their openness to learning and utilizing AI tools for design tasks, which aligns with an operations focus on leveraging technology for efficiency.

👥 Team Culture & Values

Operations Values:

• Extreme Ownership: Taking full responsibility for projects and outcomes, driving them to completion proactively.

• High Velocity: Operating with speed and agility, prioritizing rapid iteration and quick wins.

• Low-Ego Collaboration: Working effectively with others, valuing diverse perspectives, and focusing on collective success over individual recognition.

• User Love: A deep commitment to creating products that users genuinely enjoy and find valuable, demonstrated through user-centric design.

• Continuous Learning: Embracing new technologies and methodologies, particularly in the rapidly evolving field of AI.

Collaboration Style:

• Cross-functional Integration: Design is deeply integrated with engineering, requiring constant communication and collaboration to ensure seamless product development.

• Process-Oriented: Emphasis on establishing and improving scalable design processes to maintain quality and efficiency.

• Feedback Culture: Openness to feedback and iterative improvement, both for the product and for internal processes.

📝 Enhancement Note: The core values of "Extreme Ownership" and "High Velocity" are direct parallels to operational excellence in GTM. Candidates who can demonstrate how they apply these principles in their design work will resonate strongly.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of Innovation: Keeping up with the rapid advancements in AI and its application to software design.

• Scaling Design Processes: Establishing and refining design operations to support rapid company growth without compromising quality.

• Balancing Speed and Quality: Ensuring high-velocity product development does not detract from the creation of "user-loved" and polished experiences.

• AI Implementation Learning Curve: Adapting to and mastering new AI tools and workflows for design implementation.

Learning & Development Opportunities:

• AI Design Expertise: Become a leader in designing AI-powered products, a highly sought-after skill.

• Product Strategy Influence: Contribute significantly to the product roadmap and strategic direction of a growing company.

• Process Leadership: Opportunity to define and optimize design operations and workflows.

• Mentorship: Potential to mentor junior designers and shape the design culture as the team expands.

• Startup Growth Experience: Gain invaluable hands-on experience in a fast-growing, disruptive technology company.

📝 Enhancement Note: The challenges and growth opportunities are framed around operational efficiency, technological adoption (AI), and strategic impact, all of which are critical for operations professionals.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led an end-to-end product design project in a high-velocity startup. What were the key challenges, and how did you ensure success?" (Focus on process, collaboration, and outcomes.)

• "How would you approach simplifying a complex user journey for a new AI-powered feature at Lovable? Walk us through your thought process and potential design solutions." (Demonstrate problem-solving, user-centricity, and AI awareness.)

Company & Culture Questions:

• "What interests you most about Lovable's mission and our approach to AI-powered software creation?" (Showcase research and alignment with company vision.)

• "How do you embody 'extreme ownership' and 'low-ego collaboration' in your work?" (Provide specific examples of your behavior and approach.)

Portfolio Presentation Strategy:

• Structure for Impact: For each project, clearly outline: Problem, Your Role, Solution, Process (including collaboration with Engineering/AI), and Outcome (ideally with metrics).

• Highlight AI/Technical Contributions: If applicable, dedicate a section or specific points to how you've leveraged technology or AI in your design workflow or for AI product design.

• Focus on Process Efficiency: Emphasize how your design processes contributed to speed, efficiency, and scalability in previous roles.

• Concise Storytelling: Use your Loom video to tell a compelling story about your best work, focusing on clarity, impact, and your problem-solving approach. Keep it to the requested time limit.

• Be Ready for Deep Dives: Prepare to discuss the nuances of your design decisions, trade-offs made, and how you handled feedback and iteration.

📝 Enhancement Note: The interview preparation advice focuses on demonstrating operational skills: process optimization, efficiency, collaboration, and strategic thinking, all within the context of product design and AI.

📌 Application Steps

To apply for this operations-enabling product design position:

• Submit your application through the Lovable careers portal at https://jobs.ashbyhq.com/lovable/5635b88f-a361-4f5f-8209-ca343a003947.

• Curate your portfolio: Select 2-3 projects that best showcase 10+ years of experience in high-velocity startup environments, focusing on user-loved products and simplified user journeys.

• Prepare your Loom video presentation: Practice articulating your best work, process, and problem-solving skills concisely and effectively, tailored to the take-home assignment.

• Research Lovable's mission and AI strategy: Understand their product, target audience, and how they are leveraging AI to enable software creation.

• Craft your resume: Highlight experience in fast-paced startups, product ownership, design systems, and any AI-related design work, using keywords relevant to product design and operations.

⚠️ 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.