Staff Product Designer
π Job Overview
Job Title: Staff Product Designer
Company: Jobgether (Partner Company)
Location: Portugal
Job Type: Full-time
Category: Product Design / GTM Operations (Design Strategy)
Date Posted: 2026-06-19
Experience Level: Senior / Staff (8+ years)
Remote Status: Remote-first
π Role Summary
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Lead the end-to-end design lifecycle for complex, AI-powered decision-making products within financial and risk management sectors.
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Drive product strategy and long-term vision by creating innovative AI-native user experiences, including intelligent assistants and automated workflows.
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Transform intricate operational, compliance, and risk-related processes into intuitive and efficient user interfaces.
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Collaborate closely with product, engineering, and data stakeholders to influence roadmap decisions and ensure design excellence.
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Champion the evolution of design systems and advocate for best practices in AI-driven design and user research.
π Enhancement Note: While the title is "Staff Product Designer," the responsibilities and focus on complex enterprise, AI-native UX, and influencing product strategy align it closely with GTM Operations' strategic design and user adoption aspects. The role requires a deep understanding of how design impacts user workflows, efficiency, and ultimately, Go-To-Market success for sophisticated B2B products.
π Primary Responsibilities
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Spearhead the complete design process for major product initiatives, from initial concept and user research through to final implementation and launch.
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Define and execute long-term product vision and strategy, developing compelling prototypes and concepts to align executive and stakeholder expectations.
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Design and iterate on AI-native user experiences, such as intelligent assistants, automated workflow engines, generative interfaces, and explainable AI systems.
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Partner strategically with product managers, engineering leads, and other cross-functional stakeholders to shape product roadmaps and prioritize strategic initiatives.
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Translate complex financial, risk, and compliance workflows into streamlined, user-friendly, and highly efficient digital experiences.
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Develop high-fidelity interactive prototypes to validate design concepts, mitigate project risks, and accelerate the product development cycle.
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Drive the continuous improvement and expansion of the design system, ensuring consistency, scalability, and adherence to high-quality UX standards across the platform.
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Cultivate and maintain a rigorous standard of design craftsmanship through active participation in design reviews, constructive feedback sessions, and cross-team collaboration.
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Conduct comprehensive user research, integrating customer insights and feedback directly into design decisions and product development iterations.
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Act as a proactive advocate for innovative design methodologies and the strategic application of AI technologies throughout the product development and design lifecycle.
π Enhancement Note: These responsibilities highlight a strategic design leadership role that significantly impacts Go-To-Market (GTM) success by ensuring product usability, efficiency, and adoption in critical business areas. The emphasis on AI-native experiences and complex workflows suggests a need for design that directly supports operational efficiency and decision-making, key GTM drivers.
π Skills & Qualifications
Education: Bachelorβs degree or equivalent practical experience in Product Design, Human-Computer Interaction, or a related technical field.
Experience: 8+ years of progressive experience in designing sophisticated, web-based products, with a strong emphasis on enterprise-level, technical, or data-intensive environments.
Required Skills:
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Proven expertise in end-to-end product design, encompassing interaction design, visual design, information architecture, and robust systems thinking.
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Demonstrated experience in designing and launching AI-powered or AI-native product experiences, including intelligent assistants, automation workflows, or explainable AI interfaces.
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Advanced proficiency in industry-standard design and prototyping tools, with a specific requirement for Figma and high-fidelity prototyping software.
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Experience integrating AI tools into the design process for ideation, content generation, workflow optimization, or rapid prototyping.
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Exceptional ability to articulate design rationale clearly and persuasively, influencing product strategy and direction through strategic thinking and collaborative engagement.
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Strong partnership and collaboration skills with product management, engineering, data science, and other technical stakeholders.
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Experience in mentoring junior designers, establishing design standards, or positively influencing design quality and consistency across multiple teams.
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Excellent problem-solving capabilities, clear communication, and sophisticated stakeholder management skills. Preferred Skills:
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Experience within the fintech, risk management, compliance, fraud prevention, analytics platforms, or developer tools sectors.
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Familiarity with designing for highly technical products or complex B2B SaaS platforms.
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Experience with user research methodologies and translating qualitative/quantitative data into actionable design insights.
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Familiarity with Agile/Scrum development methodologies and cross-functional team collaboration within these frameworks.
π Enhancement Note: The requirement for 8+ years and the emphasis on "Staff" level, mentoring, and influencing strategy indicate a senior individual contributor role. The mention of fintech, risk management, and compliance provides strong domain context for candidates to highlight relevant experience.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A comprehensive portfolio showcasing end-to-end product design ownership for complex B2B/enterprise applications.
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Detailed case studies demonstrating expertise in interaction design, information architecture, and visual design principles applied to challenging problems.
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Specific examples of designing AI-native user experiences, including workflows, intelligent features, and explainable AI components.
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Evidence of systems thinking, including contributions to or creation of design systems, and their impact on product consistency and efficiency.
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Prototypes and case studies that clearly articulate the problem, the design process, specific solutions, and measurable outcomes or impact. Process Documentation:
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Case studies should clearly outline the user research phase, including methodologies used and insights derived to inform design decisions.
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Demonstrations of how design processes were adapted to integrate AI tools for enhanced efficiency or innovative solutions.
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Documentation of how design decisions were validated through prototyping, user testing, and stakeholder feedback loops.
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Examples of how design contributed to the optimization of complex operational workflows and improved user efficiency metrics.
π Enhancement Note: For a Staff-level Product Designer, the portfolio is critical. It must go beyond showcasing pretty interfaces to demonstrating strategic thinking, process ownership, and measurable impact, especially concerning complex enterprise and AI-driven products. The ability to articulate the "why" behind design decisions and their link to business objectives is paramount.
π΅ Compensation & Benefits
Salary Range:
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Estimated Range: β¬70,000 - β¬100,000 per annum (Gross)
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Explanation: This estimate is based on industry benchmarks for Staff Product Designer roles in Portugal, considering the remote-first nature and the specialized requirements (AI-native UX, enterprise, fintech/risk domain). The range accounts for the extensive experience (8+ years) and the strategic impact expected from this senior position. Salary will be commensurate with experience and qualifications.
Benefits:
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Competitive salary package with attractive equity participation opportunities.
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Fully remote-first work environment, offering flexibility to work from anywhere within Portugal (or potentially broader, depending on company policy and tax implications).
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Comprehensive healthcare, dental, and vision coverage, where applicable (specifics may depend on local regulations and employee's residence).
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Unlimited paid time off policy, promoting a healthy work-life balance and employee well-being.
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Significant professional development and continuous learning opportunities, including access to training, conferences, and workshops.
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High degree of ownership and autonomy in shaping product direction and strategic initiatives.
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Opportunity to contribute to cutting-edge AI technology that enhances global security, trust, and safety in digital transactions.
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Collaborative and family-friendly culture with opportunities for team events and company gatherings.
Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility inherent in a remote-first environment, allowing for asynchronous collaboration and focus time.
π Enhancement Note: The salary estimate is based on general Portugal market data for senior tech roles and adjusted for the specific requirements and seniority. The benefits reflect typical offerings for remote-first, well-funded tech companies, with a particular emphasis on professional growth and autonomy.
π― Team & Company Context
π’ Company Culture
Industry: Software / AI / Fintech / Risk Management. The company operates at the intersection of advanced AI and critical business operations, providing solutions for complex decision-making in financial services, compliance, and risk assessment. This is a rapidly evolving space where data accuracy, security, and intelligent automation are paramount.
Company Size: While not explicitly stated, the mention of "partner company" and "equity participation opportunities" suggests a growth-stage startup or a well-funded venture, likely in the range of 50-250 employees. This size offers the agility of a startup with growing structure and resources.
Founded: Not specified, but the focus on AI and advanced products implies a modern, forward-thinking organization.
Team Structure:
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The design team likely comprises a mix of Product Designers, UX Researchers, and potentially UI Designers, with this role being a senior/staff individual contributor.
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Designers collaborate closely with dedicated Product Managers, Engineering teams (Frontend, Backend, AI/ML specialists), and Data Scientists.
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Reporting likely goes up to a Head of Product, VP of Product, or a Design Lead, depending on the organizational structure. Methodology:
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Data-driven approach to product development, with a strong emphasis on user research and analytics to inform design decisions.
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Agile or hybrid development methodologies are probable, facilitating iterative design and development cycles.
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A focus on AI-native design principles, exploring new interaction paradigms for intelligent systems.
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Commitment to building robust design systems for scalability and consistency.
Company Website: Jobgether.com (This is the platform through which applications are processed; the actual partner company's website is not directly linked here but would be a key research point for candidates).
π Enhancement Note: The context of AI, fintech, and risk management is crucial. Candidates should demonstrate an understanding of the high stakes involved in these domains and how design can build trust, ensure accuracy, and drive efficiency for sophisticated users.
π Career & Growth Analysis
Operations Career Level: Staff Product Designer. This level signifies a senior individual contributor with deep expertise and the ability to operate independently, influence strategy, and mentor others. It's a critical role for driving design excellence and product innovation within complex domains.
Reporting Structure: The designer will likely report to a Design Lead, Head of Design, or VP of Product. They will work in close partnership with Product Management and Engineering leadership, influencing cross-functional team direction.
Operations Impact: This role has a direct impact on the company's Go-To-Market strategy by designing products that are not only user-friendly but also highly efficient and effective for complex business operations. The success of AI-powered decision-making tools directly translates to customer value, adoption rates, and competitive advantage, all key GTM metrics.
Growth Opportunities:
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Operations Skill Advancement: Deepen expertise in AI-native UX, design for complex enterprise workflows, and specific domain knowledge (fintech, risk).
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Leadership Development: Opportunity to mentor junior designers, lead design initiatives, and influence product strategy at a high level.
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Technical Specialization: Become a go-to expert for AI-driven design challenges and contribute to the evolution of the company's AI product roadmap.
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Career Progression: Potential to move into a Design Lead, Principal Designer, or management role as the company scales.
π Enhancement Note: The "Staff" designation implies a significant level of autonomy and influence. Growth opportunities should focus on deepening design expertise in specialized areas and developing leadership capabilities within a technical, AI-focused product environment.
π Work Environment
Office Type: Remote-first. This indicates a distributed workforce where collaboration and communication primarily occur through digital channels. The company is committed to providing a flexible work environment.
Office Location(s): While the role is based in Portugal, the "remote-first" policy suggests potential flexibility for candidates within other regions, subject to company policy and legal considerations. The primary focus is on talent within Portugal.
Workspace Context:
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A digital-first collaborative environment relying heavily on communication tools (e.g., Slack, Zoom) and project management software.
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Access to modern design tools and potentially AI-assisted design platforms.
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Opportunities for virtual team-building activities and asynchronous collaboration to accommodate different schedules.
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A culture that values focused work time and efficient communication.
Work Schedule: While core working hours might exist for synchronous collaboration, the remote-first nature offers significant flexibility. The emphasis is on delivering results and meeting project deadlines rather than strict adherence to a 9-to-5 schedule.
π Enhancement Note: For a remote role, candidates should highlight their ability to self-manage, communicate effectively asynchronously, and contribute to a distributed team culture. Proficiency with remote collaboration tools is a given.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: AI-powered matching by Jobgether to assess core requirements, followed by a brief human review.
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Hiring Manager/Team Interview: Discussion focused on design philosophy, experience with complex products, AI-native UX, and strategic thinking. Expect case study discussion.
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Design Challenge/Workshop: A practical exercise or a deep dive into a portfolio case study, evaluating problem-solving skills, design process, and communication. This might involve a take-home assignment or a live collaborative session.
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Cross-functional Stakeholder Interviews: Meetings with Product Managers, Engineering Leads, and potentially Data Scientists to assess collaboration style, technical understanding, and ability to influence.
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Final Interview: Potentially with senior leadership (e.g., Head of Product, CTO) to discuss vision, long-term impact, and cultural fit.
Portfolio Review Tips:
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Focus on Impact: Clearly articulate the business problem and the measurable impact of your design solutions, especially concerning efficiency, adoption, or risk reduction.
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Showcase AI Expertise: Highlight specific projects where you designed AI-powered features, explainable AI, or automated workflows. Detail your approach to these novel UX challenges.
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Demonstrate Process: Walk through your design process for 2-3 key projects, emphasizing user research, iterative design, prototyping, and collaboration.
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Systems Thinking: Include examples of how youβve contributed to or utilized design systems to ensure consistency and scalability.
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Tailor to the Role: Emphasize experience with enterprise B2B, data-intensive applications, and any relevant domain experience (fintech, risk, compliance).
Challenge Preparation:
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Be prepared to discuss your approach to designing for complex, regulated industries where accuracy and trust are paramount.
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Practice articulating your design rationale and trade-offs clearly and concisely.
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Understand how AI can be leveraged not just in the product, but also within the design process itself.
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Research the company's domain (AI, fintech, risk management) to understand the user context and business challenges.
π Enhancement Note: The Jobgether AI screening is a unique first step. Candidates should ensure their application materials (resume, portfolio) are optimized for keyword matching related to AI, enterprise design, and the specific domains mentioned.
π Tools & Technology Stack
Primary Tools:
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Figma: Essential for UI design, prototyping, and collaboration. Advanced proficiency is required.
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High-Fidelity Prototyping Tools: Beyond Figma, familiarity with tools like ProtoPie, Axure, or similar for complex interactive prototypes.
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AI Design Tools: Experience leveraging AI tools for ideation, content generation, workflow automation, or rapid prototyping (e.g., AI-powered plugins within Figma, specialized AI design platforms).
Analytics & Reporting:
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Familiarity with product analytics platforms (e.g., Mixpanel, Amplitude, Google Analytics) to understand user behavior and inform design decisions.
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Ability to interpret data and translate insights into design improvements. CRM & Automation:
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While not a direct CRM role, understanding how design impacts CRM adoption and data entry efficiency for sales/support operations can be beneficial.
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Awareness of workflow automation principles and how design facilitates them.
π Enhancement Note: The explicit mention of Figma and AI tools in the design process is a key technical requirement. Candidates should be ready to discuss their experience and strategic use of these technologies.
π₯ Team Culture & Values
Operations Values:
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Innovation: A drive to explore and implement cutting-edge AI technologies and design methodologies.
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Impact-Driven: Focus on delivering tangible business value and solving complex problems for users.
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Collaboration: Strong emphasis on cross-functional teamwork and open communication.
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User-Centricity: Deep commitment to understanding and serving user needs, particularly in high-stakes environments.
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Excellence: A pursuit of high-quality design craftsmanship and robust, scalable solutions.
Collaboration Style:
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Highly collaborative, with designers working in lockstep with Product Managers and Engineers.
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Open to constructive feedback and iterative design processes.
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Emphasis on clear communication, documentation, and knowledge sharing within a remote setting.
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Encouragement of diverse perspectives to foster innovation and robust solutions.
π Enhancement Note: The company's culture appears to value innovation, user impact, and strong teamwork, which are critical for success in a fast-paced, technology-driven environment.
β‘ Challenges & Growth Opportunities
Challenges:
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Designing for highly complex, regulated domains (fintech, risk, compliance) where precision and user trust are paramount.
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Translating intricate AI capabilities into intuitive and actionable user experiences.
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Balancing innovation with the need for stability and reliability in enterprise-grade products.
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Navigating the evolving landscape of AI-native user interfaces and best practices.
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Effectively communicating complex design rationales to diverse stakeholders. Learning & Development Opportunities:
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Specialized Skill Development: Gain deep expertise in AI-UX, designing for explainable AI, and advanced data visualization for decision support.
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Domain Expertise: Develop a strong understanding of financial services, risk management, and compliance workflows.
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Leadership & Mentorship: Opportunity to mentor junior designers and influence design strategy at a senior level.
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Industry Exposure: Work with cutting-edge AI technologies and contribute to products that have significant real-world impact on security and trust.
π Enhancement Note: The challenges presented are inherent to the role's domain and complexity, offering significant opportunities for professional growth and skill acquisition.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you had to design an AI-powered feature. What were the unique challenges, and how did you address them?" (Focus on explainability, trust, and user adoption.)
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"How would you approach designing a user experience for complex risk assessment or compliance monitoring workflows?" (Emphasize user research, process simplification, and data visualization.)
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"Walk me through a significant product strategy initiative you influenced. What was your role, and what was the outcome?" (Highlight strategic thinking, stakeholder management, and impact.) Company & Culture Questions:
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"What excites you about designing AI-native products for the fintech/risk management space?" (Show genuine interest and understanding of the domain.)
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"How do you approach collaboration with product managers and engineers in a remote environment?" (Demonstrate strong communication and teamwork skills.)
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"How do you ensure your design solutions create measurable business impact and align with GTM objectives?" (Connect design work to business outcomes and user adoption.) Portfolio Presentation Strategy:
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Structure Your Case Studies: Clearly define the problem, your role, the process, the solution, and the quantifiable results.
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Highlight AI & Complexity: Specifically call out projects involving AI, complex data, or intricate workflows.
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Demonstrate Process: Show, don't just tell, your design process β from research to iteration to final implementation.
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Be Ready for Deep Dives: Expect detailed questions on your design decisions, trade-offs, and the rationale behind them.
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Tailor to the Company: Briefly explain why your experience is a strong fit for this specific role and company context.
π Enhancement Note: Candidates should prepare to discuss their experience with AI, complex enterprise systems, and how their design work directly contributes to business success and user efficiency, which are key GTM considerations.
π Application Steps
To apply for this Staff Product Designer position:
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Submit your application through the Jobgether platform link provided.
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Portfolio Customization: Ensure your portfolio prominently features case studies demonstrating expertise in AI-native UX, complex enterprise/B2B products, and any relevant domain experience (fintech, risk, compliance). Highlight your end-to-end design process and measurable outcomes.
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Resume Optimization: Tailor your resume to include keywords such as "Product Design," "AI-native UX," "enterprise design," "Figma," "prototyping," "user research," "stakeholder management," and relevant industry terms. Quantify achievements where possible.
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Interview Preparation: Practice articulating your design rationale, process, and impact, particularly for complex and AI-driven products. Prepare to discuss your approach to collaboration and influencing product strategy.
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Company Research: Gain an understanding of the fintech, risk management, and AI product landscape to better contextualize your experience and demonstrate genuine interest.
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
Requires a bachelor's degree and over 8 years of experience designing complex enterprise or data-driven web products. Must have a proven track record of designing AI-powered interfaces and proficiency in Figma.