Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Jobgether (Partner Company)

Location: Poland

Job Type: Full-time

Category: Product Design / UX/UI

Date Posted: 2026-06-19

Experience Level: 8+ Years (AI indicates 10+ years)

Remote Status: Remote OK (with preference for Poland-based candidates)

🚀 Role Summary

• Lead the end-to-end design of complex, AI-powered decision-making products within financial and risk management sectors.

• Drive the product strategy and long-term vision for AI-native user experiences, including intelligent assistants and automated workflows.

• Shape critical platform experiences focused on fraud prevention, compliance, and risk operations for enterprise clients.

• Collaborate closely with product and engineering leadership to influence roadmap decisions and foster design excellence.

• Transform intricate operational and compliance workflows into intuitive, efficient, and impactful user interfaces.

📝 Enhancement Note: While the title is "Staff Product Designer," the AI's experience level assessment of "10+" years and the emphasis on leading design for major product areas, influencing strategy, and mentoring designers suggest a senior or lead-level individual contributor role. The "8+ years" requirement in the raw description is a minimum, and candidates with more extensive experience in complex enterprise/technical domains will likely be stronger fits. The role's focus on AI-native experiences and explainable AI positions it at the forefront of design innovation within specialized B2B SaaS.

📈 Primary Responsibilities

• Spearhead the complete design lifecycle for significant product initiatives, from initial user research and concept development through to final implementation and post-launch analysis.

• Define and champion the long-term product vision, creating compelling prototypes and strategic concepts that align diverse stakeholders and guide future product direction.

• Design and iterate on AI-native user experiences, encompassing intelligent assistants, sophisticated automated workflows, generative interfaces, and transparent, explainable AI decision-making systems.

• Foster robust partnerships with product managers, engineering teams, data scientists, and other key stakeholders to collectively shape product roadmaps and strategic priorities.

• Translate highly complex operational, compliance, and risk-related business processes into elegant, intuitive, and highly efficient user experiences.

• Develop and utilize high-fidelity interactive prototypes to rigorously validate design concepts, mitigate development uncertainties, and accelerate the overall product development cycle.

• Lead the strategic evolution and maintenance of enterprise-level design systems, ensuring consistency, scalability, and a consistently high standard of user experience across the entire product platform.

• Uphold and elevate the organization's design craftsmanship standards through constructive design reviews, proactive feedback loops, and seamless cross-team collaboration.

• Initiate and conduct comprehensive user research, actively integrating customer insights, behavioral data, and market feedback into all stages of product development and design decision-making.

• Champion the adoption of innovative design practices and advocate for the strategic and ethical application of AI technologies throughout the product design and development process.

📝 Enhancement Note: The responsibilities clearly indicate a senior-level role requiring strategic influence, end-to-end ownership, and a deep understanding of complex B2B/enterprise product design, particularly within AI-driven contexts. The emphasis on "AI-native user experiences" and "explainable AI" points to a specialized area of product design that requires a unique blend of technical understanding and user-centric design principles.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience in Product Design, Human-Computer Interaction (HCI), or a closely related field.

Experience: A minimum of 8 years of hands-on experience designing and delivering complex, web-based products, with a strong preference for enterprise, technical, or data-intensive B2B environments.

Required Skills:

• Interaction Design: Proven ability to create intuitive and efficient user flows for complex systems.

• Visual Design: Demonstrated expertise in crafting aesthetically pleasing and functional user interfaces that align with brand identity and user needs.

• Information Architecture: Skill in organizing and structuring complex information and content to enhance usability and findability.

• Systems Thinking: Capacity to understand and design for interconnected components within a larger product ecosystem, ensuring coherence and scalability.

• AI-Native UX Design: Demonstrable experience in designing user experiences specifically for AI-powered products, including intelligent assistants, automated workflows, or generative interfaces.

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

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

• User Research: Experience in conducting and applying user research methodologies to inform design decisions.

• Stakeholder Management: Ability to effectively communicate design rationale, build consensus, and manage expectations with diverse stakeholders.

• Product Strategy: Capacity to contribute to and influence product vision and roadmap development.

• Mentoring & Design Leadership: Experience in guiding junior designers, setting design standards, or influencing design quality across teams.

• Problem-Solving: Strong analytical and critical thinking skills to address complex design challenges.

Preferred Skills:

• Experience in Fintech, Risk Management, Compliance, Fraud Prevention, Analytics Platforms, or Developer Tools.

• Familiarity with AI tools within the design process for ideation, content generation, or workflow optimization.

• Experience designing for explainable AI (XAI) interfaces.

• Familiarity with agile development methodologies and cross-functional team collaboration.

• Experience developing and contributing to design systems.

📝 Enhancement Note: The requirement for "8+ years" in complex web-based products, especially within enterprise or technical domains, combined with the AI's assessment of "10+" years, indicates that candidates with a decade or more of relevant experience will be highly competitive. The emphasis on "AI-native product experiences" and "explainable AI" is a critical differentiator, suggesting that candidates with a proven track record in these cutting-edge areas will be strongly favored.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design ownership, from initial problem definition through to delivered solutions.

• Demonstrations of expertise in designing for complex, data-driven, or enterprise-level web applications.

• Case studies highlighting the design of AI-powered or AI-native user experiences, detailing the problem, your role, the process, and the impact.

• Evidence of strong interaction design, visual design, and information architecture skills applied to real-world products.

• Examples of systems thinking, illustrating how individual design decisions contribute to a cohesive and scalable product ecosystem.

• Prototypes (high-fidelity preferred) that effectively communicate design concepts, user flows, and interactive elements.

• Documentation of user research methodologies and how insights were translated into design solutions.

• Examples of collaboration with engineering and product teams, showing how designs were implemented. Process Documentation:

• Showcase your approach to problem-solving, detailing how you identify user needs and business requirements.

• Illustrate your design process, from ideation and wireframing to high-fidelity design and prototyping.

• Demonstrate how you validate designs through user testing and gather feedback for iteration.

• Explain your experience in contributing to or evolving design systems, focusing on consistency and scalability.

• Provide examples of how you have transformed complex workflows into intuitive user experiences.

• Detail your collaboration process with cross-functional teams, emphasizing communication and alignment.

📝 Enhancement Note: For a Staff Product Designer role, the portfolio is paramount. It needs to showcase not just aesthetic skills but also strategic thinking, complex problem-solving capabilities, and a deep understanding of enterprise B2B product design, especially in AI-driven contexts. Candidates should explicitly highlight projects involving AI, complex data visualization, workflow automation, and explainable AI. Demonstrating the impact of their designs through metrics and clear articulation of their role is crucial.

💵 Compensation & Benefits

Salary Range: For a Staff Product Designer with 8-10+ years of experience in Poland, a competitive salary range is estimated between 180,000 PLN to 280,000 PLN gross annually. This range accounts for the senior nature of the role, the specialized AI design skills, and the cost of living in Poland. The exact compensation will depend on the candidate's specific experience, skills, and the final negotiation with the partner company.

Benefits:

• Competitive Salary Package: A strong base salary reflecting the seniority and impact of the role.

• Equity Participation Opportunities: Potential for stock options or other equity grants, aligning employee success with company growth.

• Remote-first Work Environment: Flexibility to work from anywhere, with a particular focus on candidates based in Poland.

• Comprehensive Healthcare, Dental, and Vision Coverage: Where applicable, ensuring employee well-being.

• Unlimited Paid Time Off (PTO) Policy: Encouraging a healthy work-life balance and employee autonomy.

• Significant Professional Development: Opportunities for training, workshops, and skill enhancement.

• Continuous Learning Opportunities: Access to resources and support for ongoing learning and career growth, particularly in AI and design.

• High Level of Ownership and Autonomy: Freedom to shape products, influence strategy, and drive initiatives with minimal oversight.

• Opportunity to Contribute to Impactful Technology: Work on products that enhance global security, trust, and safety in digital transactions.

• Collaborative and Family-Friendly Culture: Fostering a supportive and inclusive work environment with regular team events.

Working Hours: The standard working hours are typically 40 hours per week, in line with full-time employment. The remote-first nature and unlimited PTO policy suggest flexibility in managing work schedules, provided that core responsibilities are met and collaboration with teams in different time zones (if applicable) is effective.

📝 Enhancement Note: The salary estimate is based on research for senior/staff-level product design roles in Poland, considering the tech industry and the specialized nature of AI design. Benefits like equity, unlimited PTO, and a remote-first setup are attractive perks for senior talent. The note about "where applicable" for healthcare suggests this might depend on the specific employment arrangements or local regulations.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the Technology sector, specifically focusing on SaaS solutions for financial services, risk management, and compliance. This includes areas like fraud prevention and AI-driven decision-making platforms. The industry is characterized by rapid innovation, a strong emphasis on data security, and the increasing integration of artificial intelligence.

Company Size: The exact size of the partner company is not specified, but the need for a "Staff Product Designer" and the mention of influencing "design systems, workflows, and product innovation" across the organization suggest a growing company, likely a Series A/B or later-stage startup, or a well-established tech company with a dedicated product design function. A mid-to-large size (50-500+ employees) is probable.

Founded: The founding date is not provided. However, the focus on "AI-first" and "AI-native user experiences" indicates a company that is either relatively new and built around AI, or a more established company that has significantly pivoted or invested heavily in AI capabilities.

Team Structure:

• Operations Team: While not explicitly an "operations" role in the traditional sense (RevOps/SalesOps), this designer will work within the broader product development organization. This team likely includes Product Managers, Engineers (Frontend, Backend, AI/ML specialists), Data Scientists, and potentially other Designers.

• Design Team: The role implies a dedicated design function. Depending on the company's maturity, this could be a small, centralized team or a more distributed model embedded within product squads. The Staff Designer is expected to mentor junior designers and help set standards, suggesting a growing or established design team structure.

• Reporting Structure: The Staff Product Designer will likely report to a Head of Design, Design Lead, or a Senior Product Lead/Director. They will collaborate closely with Product Management and Engineering leadership.

Methodology:

• Data-Driven Design: Expect a strong emphasis on using data, user research, and performance metrics to inform design decisions and measure impact.

• Agile Development: The collaboration with engineering suggests an agile or iterative product development process.

• AI-Centric Innovation: The core of the product is AI, so design methodologies will likely incorporate principles for designing with and for AI, including explainability, trust, and intelligent automation.

• Design System Development: A focus on building and maintaining a scalable design system to ensure consistency and efficiency across product lines.

Company Website: [Not provided, but would typically be found on the Jobgether listing or partner company's official site.]

📝 Enhancement Note: The context of AI, fintech, and risk management suggests a B2B SaaS environment. The "Staff" title and responsibilities point to a company that values senior design leadership and is investing in sophisticated product experiences. The remote-first aspect for Poland-based candidates is a key detail for logistics and culture.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Staff level, which is typically one or two levels below Principal or Director. It represents a senior individual contributor (IC) position focused on deep expertise, strategic influence, and leadership within a specific domain (Product Design, AI-native UX). Staff Designers are expected to tackle the most ambiguous and complex problems, drive significant product initiatives, and mentor other designers.

Reporting Structure: The Staff Product Designer will likely report to a Design Manager, Head of Design, or a senior Product leader. They will work intimately with Product Managers and Engineering Leads within specific product teams or across multiple squads.

Operations Impact: The impact of this role is significant and directly tied to the success of the company's AI-powered decision-making products. By designing intuitive and effective user experiences, the Staff Designer will:

• Enhance customer adoption and retention for critical financial and risk management tools.

• Improve the efficiency and accuracy of decision-making processes for enterprise clients, leading to better business outcomes (e.g., reduced fraud, improved compliance).

• Influence the overall product strategy and long-term vision, ensuring the company remains at the forefront of AI innovation.

• Elevate the design maturity of the organization by setting standards and mentoring other designers. Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-native UX, explainable AI, and designing for complex data-driven platforms.

• Leadership Track: Transition into management roles (e.g., Design Manager) or move towards Principal/Distinguished Designer roles, focusing on broader architectural or strategic design challenges.

• Cross-functional Influence: Increase scope of influence across product, engineering, and business strategy.

• Industry Expertise: Become a recognized expert in designing for fintech, risk, and compliance sectors.

• Mentorship: Continue to mentor and develop junior and mid-level designers, shaping the future design talent within the company.

📝 Enhancement Note: The "Staff" title implies a significant level of autonomy and influence, characteristic of senior individual contributors who drive strategic initiatives and mentor others. The growth paths outlined are typical for this level, allowing for both deep technical specialization and potential leadership progression.

🌐 Work Environment

Office Type: The role is described as Remote-first, with a preference for candidates based in Poland. This means there is no mandatory physical office requirement. The company likely utilizes virtual collaboration tools extensively.

Office Location(s): While a specific office location isn't provided, the primary focus is on candidates within Poland. This might be due to legal/tax reasons, time zone alignment for collaboration, or simply to tap into the strong tech talent pool there.

Workspace Context:

• Collaborative Environment: Despite being remote, the culture emphasizes close collaboration with product managers, engineers, and other designers. Expect frequent virtual meetings, design critiques, and collaborative sessions using digital whiteboarding and design tools.

• Tools & Technology: Access to industry-standard design and prototyping tools (e.g., Figma), collaboration platforms (e.g., Slack, Zoom), and potentially AI-assisted design tools.

• Autonomy & Ownership: A work environment that values self-starters who can manage their time effectively, take ownership of projects, and drive them to completion with minimal direct supervision.

Work Schedule: The "unlimited PTO" and "remote-first" nature suggest a high degree of flexibility. While core working hours for team collaboration might be expected (likely aligning with Central European Time, UTC+1/UTC+2), individuals can generally set their own schedules to manage personal needs and productivity, as long as they meet project deadlines and attend necessary meetings.

📝 Enhancement Note: The "remote-first" designation for Poland-based candidates is crucial. It implies that while fully remote is the norm, there might be an advantage or preference for candidates within Poland for logistical or timezone reasons, rather than a global remote search.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether AI): An AI-powered matching process will quickly assess your profile against core requirements.

• Hiring Company Screening: A recruiter or hiring manager from the partner company will review shortlisted candidates.

• Design Challenge/Portfolio Review: This will likely be a multi-stage process:

  • Portfolio Presentation: You will be asked to walk through 2-3 key projects from your portfolio, focusing on complex problem-solving, your design process, AI/enterprise experience, and impact.
  • Design Exercise (Potential): A take-home assignment or a live design exercise focusing on a complex UX problem relevant to AI-driven financial/risk management products.

• Stakeholder Interviews: Interviews with Product Management, Engineering Leads, and potentially other designers or senior leadership to assess strategic thinking, collaboration skills, and cultural fit.

• Final Interview: Possibly with a senior executive or Head of Product/Design.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your experience with complex enterprise products, AI-native UX, data-heavy interfaces, and workflow automation. Highlight your role and impact clearly.

• Tell a Story: For each project, explain the business problem, user needs, your design process (discovery, ideation, iteration, validation), key decisions made, challenges faced, and the measurable outcomes.

• Emphasize AI & Complexity: Clearly articulate your approach to designing for AI, including challenges related to trust, explainability, and user adoption. Detail how you handled complex data and operational workflows.

• Demonstrate Systems Thinking: Show how your designs integrate within a larger product ecosystem and contribute to a scalable design system.

• High-Fidelity Prototypes: Include interactive prototypes where possible to bring your designs to life and demonstrate interaction details.

• Quantify Impact: Use metrics and data to demonstrate the success of your designs (e.g., improved conversion rates, reduced user errors, increased efficiency).

Challenge Preparation:

• Understand the Domain: Research AI in fintech, risk management, compliance, and fraud prevention. Familiarize yourself with common challenges and user needs in these areas.

• Practice Articulation: Be prepared to clearly explain your design rationale, trade-offs, and strategic thinking behind your decisions.

• Focus on Process: For any design exercise, emphasize your thought process, the methods you'd employ, and how you'd collaborate with stakeholders.

• Consider AI Integration: If a challenge involves AI, think about how you would design for transparency, user control, and explainability.

📝 Enhancement Note: The emphasis on AI-native UX, complex enterprise products, and explainable AI within fintech/risk management means candidates should tailor their portfolio and interview responses to these specific areas. Demonstrating strategic thinking beyond just UI execution is critical for a Staff-level role.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for design, prototyping, and collaboration, explicitly mentioned as a requirement. Proficiency is expected to be advanced.

• High-Fidelity Prototyping Tools: While Figma handles much of this, familiarity with other advanced prototyping tools (e.g., Protopie, Framer) might be advantageous for complex interactions.

• Design System Tools: Experience with tools or methodologies for building and maintaining design systems (e.g., Storybook, Zeroheight, or Figma's component libraries).

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Amplitude, Mixpanel, Google Analytics, or similar for understanding user behavior and measuring design impact.

• A/B Testing Tools: Experience with platforms that facilitate A/B testing of design variations to optimize user experiences.

• Data Visualization Tools: While not a direct requirement, understanding how data is visualized and presented in enterprise dashboards is beneficial.

CRM & Automation:

• CRM Systems: While not a primary design tool, understanding how user data is managed in CRM systems (e.g., Salesforce) can provide context for enterprise product design.

• Workflow Automation Tools: Familiarity with concepts of workflow automation, as the role involves designing for automated processes.

• AI/ML Platforms: Awareness of the underlying technologies or platforms that power AI features, even if not directly using them, is helpful for designing AI-native experiences.

📝 Enhancement Note: Figma is a non-negotiable requirement. The other tools listed are standard for senior product designers working in sophisticated tech environments, particularly those focused on data and complex workflows where analytics and iteration are key.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Focus: A strong drive to leverage AI and cutting-edge technology to solve complex business problems, fostering an environment where experimentation with new design approaches is encouraged.

• Data-Driven Decision Making: A commitment to using data, user research, and performance metrics to guide product development and design choices, ensuring that solutions are validated and effective.

• User-Centricity: A deep understanding of customer needs and business objectives, with a focus on creating intuitive, efficient, and valuable user experiences for enterprise clients.

• Collaboration & Transparency: Fostering an open environment where cross-functional teams (Product, Engineering, Design) work closely together, share knowledge freely, and provide constructive feedback.

• Ownership & Accountability: Encouraging individuals to take full responsibility for their work, drive initiatives forward, and contribute to the overall success of the product and company.

Collaboration Style:

• Cross-functional Integration: Designers are deeply embedded within product teams, working hand-in-hand with Product Managers and Engineers throughout the development lifecycle.

• Iterative Design & Feedback: A culture that values continuous feedback loops, regular design critiques, and iterative refinement of solutions based on input from peers and stakeholders.

• Knowledge Sharing: Encouraging the sharing of best practices, learnings, and insights across the design team and wider organization, often through internal presentations, documentation, or informal discussions.

• Process Optimization: A continuous effort to improve design workflows, tools, and methodologies to enhance efficiency and quality.

📝 Enhancement Note: The culture likely mirrors that of many modern tech companies, with a strong emphasis on collaboration, data, and innovation. The "AI-first" and "remote-first" aspects will shape how these values are enacted daily.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Tackling ill-defined problems and complex user needs within the specialized domains of finance, risk, and compliance.

• Balancing Innovation with Enterprise Needs: Integrating cutting-edge AI features while ensuring the product remains stable, reliable, and compliant for demanding enterprise clients.

• Explaining Complex AI: Designing interfaces that make sophisticated AI decisions understandable, trustworthy, and actionable for users who may not be AI experts.

• Remote Collaboration at Scale: Maintaining strong team cohesion, effective communication, and high design quality across distributed teams.

• Keeping Pace with AI Advancements: Continuously learning and adapting design strategies as AI technology evolves rapidly.

Learning & Development Opportunities:

• Deep Dive into AI/ML UX: Opportunities to become a specialist in designing for artificial intelligence, machine learning, and generative AI applications.

• Industry Specialization: Gaining deep expertise in the nuances of financial services, risk management, and regulatory compliance design.

• Leadership Development: Mentoring opportunities and potential pathways into design leadership or principal-level roles.

• Conferences & Training: Access to industry conferences, workshops, and online courses focused on product design, AI, and UX.

• Exposure to Cutting-Edge Technology: Working with advanced technologies and being part of a team that is pushing the boundaries of AI-driven decision-making products.

📝 Enhancement Note: The challenges are inherent to working with advanced technology in regulated industries. The growth opportunities are substantial for a senior designer looking to specialize and lead in the high-demand field of AI product design.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex enterprise product you designed from concept to launch. What were the key challenges, and how did you overcome them?" (Focus on your process, problem-solving, and impact.)

• "How would you approach designing an AI-native user experience for [specific domain, e.g., fraud detection]? What are the key considerations for trust and explainability?" (Demonstrate understanding of AI UX principles.)

• "Tell me about a time you had to influence product strategy or roadmap decisions with your design insights. What was your approach and the outcome?" (Highlight strategic thinking and collaboration.)

• "How do you ensure your designs are scalable and maintainable within a larger product ecosystem or design system?" (Show systems thinking and design system awareness.) Company & Culture Questions:

• "What interests you about designing AI-powered decision-making products for the fintech/risk management space?" (Show genuine interest and research.)

• "How do you approach collaboration with engineering and product management teams, especially in a remote environment?" (Emphasize partnership and communication.)

• "Describe your experience mentoring other designers or contributing to design standards within a team." (Highlight leadership potential.)

• "How do you stay updated on the latest trends in AI and product design?" (Demonstrate continuous learning.) Portfolio Presentation Strategy:

• Structure: For each project, clearly outline: Problem Statement, Your Role & Responsibilities, Design Process (Research, Ideation, Design, Testing), Key Decisions & Rationale, Challenges & Solutions, and Impact/Outcomes (quantified where possible).

• Highlight AI & Enterprise: Explicitly call out projects involving AI, complex data, or enterprise workflows. Explain your specific contributions to AI-native features and how you addressed challenges like explainability or user trust.

• Visual Storytelling: Use polished visuals, clear annotations, and interactive elements (prototypes) to convey your design work effectively.

• Conciseness: Be prepared to present your work within a set timeframe (e.g., 30-45 minutes), focusing on the most impactful aspects.

• Q&A Readiness: Anticipate questions about your design choices, trade-offs, and the metrics you used to define success.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating strategic thinking, experience with complex B2B products, and a deep understanding of AI-native design principles, particularly in the context of finance and risk management. Quantifiable impact and clear articulation of the design process are critical.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit Your Application: Follow the application link provided by Jobgether. Ensure your profile is complete and accurately reflects your experience.

• Tailor Your Resume: Highlight keywords related to Staff Product Designer, AI-native UX, enterprise design, Figma, prototyping, interaction design, and any relevant industry experience (fintech, risk, compliance). Emphasize achievements and quantifiable impact.

• Prepare Your Portfolio: Curate 2-3 of your strongest projects that best demonstrate your experience with complex enterprise products, AI-driven features, and workflow transformation. Ensure your portfolio is easily accessible (e.g., via a dedicated website or PDF).

• Practice Your Portfolio Presentation: Rehearse walking through your key projects, focusing on your process, strategic thinking, and the impact of your designs. Be ready to discuss your role in detail and answer in-depth questions.

• Research the Partner Company: If possible, research the partner company's existing products and mission to tailor your responses and demonstrate genuine interest in their specific domain and challenges. Understand their approach to AI and their target market.

⚠️ 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 (the partner company managed via Jobgether) before making application decisions.