Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Jobgether (Partner Company)

Location: Spain

Job Type: Full-time

Category: Product Design (GTM/Operations Support)

Date Posted: 2026-06-19

Experience Level: 8+ Years (Staff Level)

Remote Status: Remote-first (with potential for hybrid in Spain)

🚀 Role Summary

• Lead the end-to-end design process for complex AI-powered decision-making products, focusing on critical areas like fraud prevention, compliance, and risk management.

• Drive product strategy and long-term vision by defining and executing initiatives that leverage AI-native user experiences and explainable AI systems.

• Shape the evolution of design systems, workflows, and product innovation within an AI-first organization, ensuring scalability and consistency.

• Collaborate closely with product, engineering, and data leadership to influence roadmap decisions and strategic priorities, transforming complex operational challenges into intuitive solutions.

• Develop high-fidelity interactive prototypes to validate concepts, reduce uncertainty, and accelerate the product development lifecycle for enterprise clients.

📝 Enhancement Note: While the title is "Staff Product Designer," the responsibilities heavily involve designing for complex operational workflows in finance and risk. This indicates a strong GTM/Operations support aspect, requiring a designer who can translate intricate business logic and data into user-friendly interfaces for operational teams. The "AI-native" requirement suggests a need to understand and design for emerging AI functionalities within operational contexts.

📈 Primary Responsibilities

• Lead the discovery, strategy, and end-to-end design execution for major product areas, ensuring alignment with business goals and user needs in financial risk and compliance.

• Define and champion the long-term product vision through compelling prototypes and concepts that gain buy-in from product, engineering, and executive stakeholders.

• Design and iterate on AI-native user experiences, including intelligent assistants, automated workflows, generative interfaces, and explainable decision-making systems tailored for complex operational environments.

• Actively collaborate with product managers, engineers, and data scientists to influence roadmap decisions, strategic priorities, and the overall product direction.

• Translate complex operational, compliance, and risk-related workflows into intuitive, efficient, and impactful user experiences for enterprise users.

• Build, test, and iterate on interactive prototypes to validate design concepts, mitigate risks, and accelerate the product development cycle.

• Drive the continuous evolution of the design system, ensuring consistency, scalability, and high-quality user experiences across the entire platform.

• Establish and maintain a high standard of design craftsmanship through rigorous design reviews, constructive feedback, and cross-team collaboration.

• Conduct user research, synthesize customer insights, and advocate for user-centric design principles throughout the product development lifecycle.

• Champion innovative design practices and the strategic application of AI within the design process and across product offerings.

📝 Enhancement Note: The responsibilities highlight a senior-level role with significant strategic influence. The emphasis on "AI-native user experiences" and "explainable AI" suggests a need for designers who can conceptualize and design for novel interaction paradigms in data-intensive, highly regulated industries. The "transforming complex operational, compliance, and risk-related workflows" points directly to a strong need for understanding GTM operational challenges.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree or equivalent practical experience in Product Design, Human-Computer Interaction (HCI), Graphic Design, or a related field. Experience:

• 8+ years of hands-on experience designing complex web-based products, with a strong preference for enterprise, technical, or data-driven environments.

• Demonstrated experience in designing AI-powered or AI-native product experiences, such as intelligent assistants, automation workflows, or explainable AI interfaces. Required Skills:

• End-to-End Product Design: Proven ability to lead design initiatives from initial concept and user research through to final implementation and launch.

• Interaction Design & Information Architecture: Expertise in structuring complex information, defining user flows, and creating intuitive navigation for enterprise applications.

• Visual Design: Strong aesthetic sensibility and ability to create clear, professional, and engaging visual interfaces that adhere to design system principles.

• Systems Thinking: Capacity to understand and design for interconnected components, ensuring scalability and consistency across a platform.

• Figma Proficiency: Advanced mastery of Figma for UI design, prototyping, and collaboration.

• High-Fidelity Prototyping: Skilled in creating detailed, interactive prototypes to effectively communicate design intent and test user flows.

• AI-Native UX Design: Experience designing for AI-driven features, including intelligent assistants, automated processes, and interfaces that explain AI outputs.

• User Research & Synthesis: Ability to plan, conduct, and analyze user research to inform design decisions and validate hypotheses.

• Cross-functional Collaboration: Proven ability to partner effectively with Product Managers, Engineers, Data Scientists, and other stakeholders.

• Product Strategy Influence: Demonstrated capability to contribute to product strategy and influence roadmap decisions through design thinking and data-driven insights.

Preferred Skills:

• Experience leveraging AI tools within the design process (e.g., for ideation, content generation, workflow optimization).

• Experience in fintech, risk management, compliance, fraud prevention, analytics platforms, developer tools, or other highly technical enterprise products.

• Experience mentoring junior designers, establishing design standards, or influencing design quality across multiple teams.

• Familiarity with design system development and maintenance.

• Experience with generative AI interfaces and explainable AI (XAI) concepts.

📝 Enhancement Note: The experience requirement of "8+ years" combined with "Staff" level title strongly suggests a need for senior-level expertise in complex product design, not just execution. The emphasis on AI-native experiences and specific industry domains (fintech, risk, compliance) means candidates with experience in these specialized areas will have a significant advantage. The requirement for Figma proficiency is critical and should be tested.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 detailed case studies demonstrating full product design lifecycle ownership, from problem definition and user research to final solution and impact.

• Complexity Management: Highlight examples of designing for complex, data-intensive, or highly regulated environments, such as enterprise software, fintech, or risk management platforms.

• AI-Native Design Examples: Include specific projects or concepts that illustrate your experience designing for AI-powered features, intelligent assistants, automation, or explainable AI interfaces.

• Systemic Design Thinking: Demonstrate your ability to design scalable solutions, potentially including contributions to or work within established design systems.

• Prototyping & Validation: Showcase interactive prototypes and explain how they were used to validate concepts, gather feedback, and inform design decisions.

• Impact & Results: Quantify the impact of your design work, using metrics related to user engagement, efficiency gains, error reduction, or business outcomes where possible.

Process Documentation:

• Document your design process for key projects, outlining discovery methodologies, research approaches, ideation techniques, prototyping tools, and collaboration strategies.

• Clearly articulate how user feedback and data were integrated into iterative design improvements.

• Illustrate how you've contributed to or leveraged design systems and best practices for consistency and scalability.

📝 Enhancement Note: For a Staff Product Designer role, the portfolio is paramount. It's not just about showcasing aesthetics but demonstrating strategic thinking, problem-solving capabilities for complex operational challenges, and a deep understanding of user workflows in enterprise settings. The inclusion of AI-specific design examples and evidence of systemic thinking will be crucial differentiators.

💵 Compensation & Benefits

Salary Range:

• Given the Staff level, 8+ years of experience, a remote-first setup in Spain, and the specialized nature of AI and risk/compliance design, a competitive salary range is expected. Based on industry benchmarks for senior product designers in Western Europe with similar experience and specialization, the estimated range is €70,000 - €100,000+ annually, potentially including significant equity. Benefits:

• Competitive salary package with equity participation opportunities.

• Remote-first work environment with flexibility to work from anywhere within Spain.

• Comprehensive healthcare, dental, and vision coverage where applicable.

• Unlimited paid time off policy to support work-life balance.

• Significant professional development and continuous learning opportunities.

• High level of ownership and autonomy in shaping products and strategic initiatives.

• Opportunity to work in an AI-first organization focused on innovation and advanced technology.

• Collaborative and family-friendly culture with regular team events and company gatherings.

• Opportunity to contribute to technology that improves security, trust, and safety in digital transactions globally. Working Hours:

• While the role is remote-first, standard full-time working hours (approximately 40 hours per week) are expected. Flexibility will be a key aspect, allowing for work across different time zones within Europe and accommodating personal needs, consistent with a remote-first culture.

📝 Enhancement Note: The salary estimate is based on market research for senior product design roles in Spain and broader Western Europe, considering the "Staff" level, the company's remote-first approach, and the high-demand skills in AI and enterprise software design. Equity is often a significant component for staff-level roles in tech companies. The "unlimited PTO" is a common perk in remote-first tech companies, but candidates should understand how it's practically implemented.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI-powered Decision-Making Software, Fintech/Risk Management Focus)

Company Size: While not explicitly stated, the mention of "product and engineering leadership" and the nature of enterprise software suggests a mid-to-large size startup or established tech company, likely with 100+ employees, aiming for significant growth.

Founded: The company is likely a relatively modern tech firm, given its focus on AI and remote-first operations. The specific founding date is not provided, but the emphasis on innovation implies a forward-thinking culture.

Team Structure:

• Product & Design Leadership: Reports to senior leadership (e.g., VP of Product, Head of Design) who influence overall strategy.

• Cross-functional Collaboration: Works closely with Product Managers, Engineers (potentially AI/ML specialists), Data Scientists, and UX Researchers.

• Design Team: Likely a growing design team where a Staff Designer can mentor and influence others, setting design standards and best practices.

Methodology:

• Data-Driven Design: Emphasis on user research, customer insights, and performance metrics to inform design decisions.

• Agile Development: Likely follows agile or similar iterative development methodologies, requiring close collaboration with engineering.

• AI-First Approach: Integrates AI capabilities fundamentally into product design and user experiences.

• Systemic Design: Focus on building and maintaining robust design systems for scalability and consistency.

Company Website: https://jobgether.com/ (Note: This is the platform facilitating the application, not necessarily the partner company's website. The partner company's identity is not fully disclosed.)

📝 Enhancement Note: The description paints a picture of a dynamic, innovation-focused tech company operating in a complex, high-stakes domain. The "AI-first" and "remote-first" aspects are key cultural indicators. The partner company's identity not being fully revealed adds a layer of intrigue, suggesting they might be a well-funded startup or a specialized division within a larger entity.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer. This indicates a senior individual contributor role, expected to drive significant product initiatives, mentor others, and influence design strategy and standards across the organization. It's a critical role for shaping complex enterprise products.

Reporting Structure: Typically reports to a Director or VP of Product Design, or potentially a VP of Product, working closely with Product Managers and Engineering Leads. The Staff Designer is expected to operate with significant autonomy.

Operations Impact: The role has a direct impact on the usability and effectiveness of AI-powered decision-making tools used in critical financial and risk operations. Success means improving efficiency, accuracy, and compliance for enterprise clients, directly contributing to the company's value proposition and revenue generation.

Growth Opportunities:

• Design Leadership: Potential to grow into a Principal Designer, Design Lead, or Management role, overseeing larger product areas or teams.

• Specialization: Deepen expertise in AI-native UX, explainable AI, or specific industry domains like fintech or risk management.

• Strategic Influence: Increase influence on product strategy, roadmap prioritization, and the overall company vision.

• Mentorship: Formalize mentorship of junior designers, contributing to the growth of the design function.

• Cross-functional Leadership: Lead design initiatives that span multiple product lines or strategic company objectives.

📝 Enhancement Note: A Staff Designer role is a significant step up, requiring not just design skill but also strategic thinking, leadership potential, and the ability to mentor. The growth path often involves becoming a recognized expert or leader within the company's product and design organization.

🌐 Work Environment

Office Type: Remote-first. This implies a distributed workforce, with no central office requirement. Team members are expected to manage their own workspaces.

Office Location(s): While the role is remote, it is specified for Spain. This suggests that while remote, candidates should ideally be based within or legally able to work in Spain, potentially due to tax or employment law considerations.

Workspace Context:

• Home Office Setup: Employees are responsible for setting up their own productive work environment.

• Digital Collaboration Tools: Heavy reliance on tools like Slack, Zoom, Figma, and project management software for communication and collaboration.

• Asynchronous Communication: Emphasis on clear, documented communication that can be consumed asynchronously, essential for distributed teams.

• Virtual Team Building: Regular virtual meetings, social events, and potentially in-person offsites to foster team cohesion.

Work Schedule:

• Flexible working hours are a hallmark of remote-first environments, allowing employees to structure their day around core collaboration times and personal needs. While ~40 hours/week is expected, the emphasis is on output and impact rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: A remote-first environment requires strong self-discipline, excellent communication skills (especially asynchronous), and a comfort with digital collaboration tools. The Spain-specific remote requirement is important for legal and HR purposes.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether/Hiring Partner): AI-powered matching and initial review by Jobgether, followed by a screening by the partner company's recruiting team to assess basic fit.

• Portfolio Presentation & Design Challenge: A key stage where candidates present their portfolio, focusing on relevant case studies. This is often followed by a design challenge (e.g., a take-home assignment or a live whiteboarding session) to assess problem-solving skills, design process, and strategic thinking.

• Cross-functional Interviews: Interviews with Product Managers, Engineers, and potentially other designers to assess collaboration style, technical understanding, and cultural fit.

• Leadership Interview: Meeting with senior leadership (e.g., Head of Product, VP of Design) to discuss strategic vision, leadership potential, and alignment with company goals.

• Reference Checks: Standard procedure for senior roles.

Portfolio Review Tips:

• Curate for Relevance: Select 2-3 of your strongest case studies that best showcase your experience with complex enterprise products, AI-driven features, and operational workflows.

• Tell a Story: For each case study, clearly articulate the problem, your role, the process you followed, the challenges you encountered, your design decisions, and the measurable impact of your solution.

• Highlight AI & Complexity: Emphasize any experience designing for AI, machine learning, complex data visualization, or highly regulated environments (fintech, risk, compliance).

• Showcase Systems Thinking: Discuss how your designs fit into a larger system or design language, and present any contributions to design systems.

• Be Prepared to Discuss: Anticipate questions about your design rationale, trade-offs made, how you handled stakeholder feedback, and what you would do differently.

Challenge Preparation:

• Understand the Domain: Research the company's industry (AI, fintech, risk management) and common challenges users face.

• Process Focus: If given a take-home challenge, clearly document your process. If it's a live session, think out loud, explain your assumptions, and articulate your reasoning.

• Strategic Alignment: Frame your solutions in terms of business goals and user needs. For this role, consider how AI can genuinely solve enterprise operational problems.

📝 Enhancement Note: The interview process for a Staff Designer is rigorous, focusing heavily on strategic thinking, end-to-end ownership, and the ability to influence. The portfolio presentation is critical, and candidates must be prepared to discuss their work in depth, especially concerning AI and complex enterprise solutions.

🛠 Tools & Technology Stack

Primary Design Tools:

• Figma: Essential for UI design, prototyping, collaboration, and design system management. Advanced proficiency is required.

• High-Fidelity Prototyping Tools: Beyond Figma's capabilities, tools like Protopie, InVision, or Axure might be used for more complex interactions or specific validation needs.

AI & Workflow Tools:

• AI Design Assistants: Potentially tools used for ideation, content generation, wireframing assistance, or workflow optimization within the design process (e.g., Midjourney for ideation, Generative AI plugins for Figma).

• Workflow Automation Tools: Familiarity with how automated workflows are designed and integrated into user interfaces.

Collaboration & Project Management:

• Slack: For real-time communication and team interaction.

• Jira / Asana / Trello: For managing design tasks and project workflows, often integrated with engineering backlogs.

• Confluence / Notion: For documentation, design system guidelines, and knowledge sharing.

User Research & Analytics:

• UserTesting.com / Maze / Lookback: For remote usability testing and gathering feedback on prototypes.

• Google Analytics / Mixpanel / Amplitude: Understanding how to interpret product usage data to inform design decisions.

📝 Enhancement Note: Proficiency in Figma is non-negotiable. The mention of "AI tools within the design process" suggests an openness to and expectation of using emerging AI technologies to enhance design productivity. Familiarity with enterprise-level collaboration and project management tools is also key.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-First: A strong commitment to leveraging cutting-edge AI technology to solve complex business problems and create differentiated product experiences.

• User-Centricity: Deep focus on understanding and solving the challenges faced by enterprise users in critical operational domains.

• Collaboration & Transparency: Open communication, shared ownership, and cross-functional teamwork are vital for success in a distributed environment.

• Excellence & Craftsmanship: A dedication to high-quality design, attention to detail, and continuous improvement in product design and user experience.

• Impact & Ownership: Empowering individuals to take ownership of significant product areas and drive tangible business outcomes.

Collaboration Style:

• Remote & Asynchronous: Highly reliant on digital tools for communication and collaboration, with an emphasis on clear documentation and asynchronous updates.

• Cross-functional Partnership: Close working relationships with Product Management, Engineering, and Data Science teams are essential for aligning on strategy and execution.

• Feedback-Driven: A culture that encourages constructive feedback through design reviews, peer critiques, and user testing to refine designs.

• Mentorship & Knowledge Sharing: Senior members are expected to mentor others and actively share knowledge and best practices.

📝 Enhancement Note: The culture is likely fast-paced, innovative, and highly collaborative, fitting the mold of a growing tech company specializing in AI for enterprise. The remote-first aspect necessitates strong communication and self-management skills.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate financial, risk, and compliance workflows into intuitive and user-friendly interfaces.

• AI Integration Nuances: Designing effective and trustworthy AI-native experiences, including explainability and managing user expectations.

• Stakeholder Alignment: Gaining consensus and managing expectations across diverse stakeholders (product, engineering, sales, executive leadership) in a complex domain.

• Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote environment.

• Pace of Innovation: Keeping pace with rapid advancements in AI and ensuring the product remains at the forefront of technology.

Learning & Development Opportunities:

• AI & UX Specialization: Deepen expertise in designing for AI, machine learning, and related technologies.

• Industry Domain Expertise: Gain in-depth knowledge of fintech, risk management, and compliance operations.

• Strategic Product Development: Influence product strategy and roadmapping at a senior level.

• Leadership & Mentorship: Develop leadership skills through mentoring junior designers and leading design initiatives.

• Design System Evolution: Contribute to the growth and strategic direction of the company's design system.

📝 Enhancement Note: The challenges are inherent to designing cutting-edge enterprise software. The growth opportunities are significant for a senior individual contributor looking to deepen their specialization, expand strategic influence, and develop leadership capabilities.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an AI-powered dashboard for risk analysts that needs to provide explainable insights into potential fraud patterns?"

• "Describe your process for transforming a complex, multi-step compliance workflow into an intuitive user experience for a non-technical operational user."

• "How do you balance the need for rapid iteration in an AI-first environment with the requirements for robust design systems and enterprise-grade reliability?"

• "What are the key considerations when designing generative interfaces for operational decision-making, and how would you mitigate potential risks?" Company & Culture Questions:

• "What excites you about designing for AI in the financial/risk management space?"

• "How do you contribute to a positive and collaborative remote team culture?"

• "Describe a time you had to influence stakeholders who had a different vision for a product. How did you approach it?"

• "How do you stay updated on the latest trends in AI and UX design?" Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your specific role and contributions, your design process (research, ideation, prototyping, testing), key decisions and rationale, and the measurable outcomes.

• Focus on Impact: Quantify results wherever possible (e.g., "reduced user error by X%", "increased task completion time by Y%", "improved user satisfaction scores").

• Highlight AI & Complexity: Explicitly call out how your work addressed AI-native features or complex operational challenges.

• Showcase Design System Thinking: If applicable, demonstrate how your designs align with or contribute to a design system.

• Be Prepared for Deep Dives: Anticipate detailed questions about your decision-making, trade-offs, and how you would handle specific scenarios.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, a deep understanding of the user and business context, and the ability to articulate complex design solutions clearly. Candidates should be ready to discuss their experience with AI and complex enterprise workflows in detail.

📌 Application Steps

To apply for this Staff Product Designer position:

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

• Tailor Your Resume: Highlight your experience with enterprise software, AI-driven products, complex workflows (especially in finance/risk/compliance if applicable), and your proficiency with Figma and prototyping. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your most relevant and impactful case studies that demonstrate end-to-end ownership, complex problem-solving, and ideally, experience with AI or data-intensive applications. Ensure it's easily accessible (e.g., a personal website or PDF).

• Prepare Your Presentation: Practice presenting your portfolio case studies, focusing on storytelling, impact, and your design process. Be ready to articulate your rationale clearly and concisely.

• Research the Domain: Familiarize yourself with AI in decision-making, fintech, risk management, and compliance to better understand the context of the role and company.

⚠️ 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.