Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Jobgether (Partner Company)

Location: Ireland

Job Type: Full-time

Category: Product Design / GTM Operations Support

Date Posted: 2026-06-19

Experience Level: 8+ Years (Staff Level)

Remote Status: Remote OK (Primarily within Ireland)

🚀 Role Summary

• Lead end-to-end design for critical AI-powered decision-making products within complex financial and risk management environments.

• Shape product strategy and long-term vision by influencing roadmap decisions and driving design excellence across the organization.

• Design innovative AI-native user experiences, including intelligent assistants, automated workflows, and explainable AI systems.

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

• Collaborate closely with product managers, engineers, and stakeholders to transform complex operational workflows into intuitive and efficient solutions.

📝 Enhancement Note: While the title is "Staff Product Designer," the job description emphasizes "complex financial and risk management environments" and "fraud prevention, compliance, and risk operations." This indicates a strong need for a designer who understands GTM operations, particularly in regulated industries. The role's focus on "AI-powered decision-making products" and "explainable AI" suggests a sophisticated understanding of data-driven workflows and the operational impact of AI. The "remote-first" aspect, combined with the Ireland location, implies a need for strong self-management and asynchronous communication skills.

📈 Primary Responsibilities

• Spearhead the complete design lifecycle for major product areas, from initial discovery and strategic conceptualization through to detailed implementation and successful launch.

• Define and execute long-term product vision initiatives, crafting compelling prototypes and concepts to align diverse stakeholders around future product direction.

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

• Actively collaborate with product managers, engineering teams, and other key stakeholders to influence strategic product roadmap decisions and prioritize initiatives.

• Translate intricate operational, compliance, and risk-related workflows into intuitive, user-friendly, and highly efficient user experiences that drive operational efficiency.

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

• Champion and drive the continuous evolution of the company's design system, ensuring its scalability, consistency, and the delivery of high-quality user experiences across the entire product portfolio.

• Establish and uphold rigorous standards for design craftsmanship, fostering a culture of excellence through constructive design reviews, proactive feedback exchange, and cross-team collaboration.

• Conduct thorough user research, synthesizing customer insights to inform and refine product development strategies and immediate design decisions.

• Advocate for the adoption of innovative design practices and the effective integration of Artificial Intelligence throughout the entire design and product development process.

📝 Enhancement Note: The responsibilities highlight a strategic leadership role within product design, with a significant emphasis on AI-driven solutions for operational efficiency in regulated sectors like finance and risk management. This requires not just design skill but also a deep understanding of the operational challenges these products aim to solve. The focus on "AI-native user experiences" and "explainable decision-making systems" is a key differentiator.

🎓 Skills & Qualifications

Education:

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

• Minimum of 8+ years of professional experience in designing complex, web-based products, with a strong preference for enterprise-level, technical, or data-intensive environments.

• Proven expertise in designing AI-powered or AI-native product experiences is essential. Required Skills:

• End-to-End Product Design: Demonstrated ability to lead and execute design from concept to launch for significant product features or platforms.

• AI-Native UX Design: Proven experience designing user interfaces and workflows for AI-driven products, including intelligent assistants, automation, and explainable AI.

• Interaction & Visual Design: Mastery in crafting intuitive user flows, wireframes, mockups, and high-fidelity visual designs that adhere to best practices.

• Information Architecture: Strong skills in organizing and structuring complex information for clarity and ease of use.

• Systems Thinking: Ability to understand and design for interconnected systems, understanding how design decisions impact the broader product ecosystem.

• Figma Proficiency: Advanced expertise in Figma for UI design, prototyping, and collaboration.

• Prototyping Tools: High proficiency with high-fidelity prototyping tools to effectively communicate design intent and user flows.

• User Research: Experience conducting user interviews, usability testing, and synthesizing qualitative and quantitative data to inform design decisions.

• Strategic Thinking: Ability to connect design solutions to business objectives and product strategy.

• Cross-functional Collaboration: Exceptional ability to partner effectively with Product Management, Engineering, Data Science, and other stakeholders.

• Communication & Influence: Strong verbal and written communication skills, with the ability to articulate design rationale and influence product direction.

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

Preferred Skills:

• Experience designing within 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 with design systems from the ground up or significant contributions to existing systems.

• Understanding of complex operational, compliance, or risk-related workflows.

📝 Enhancement Note: The requirements clearly delineate a senior-level role demanding deep expertise in complex, enterprise-grade product design, with a specific focus on AI and its application in operational contexts like finance and risk. The emphasis on Figma and advanced prototyping, coupled with user research and strategic influence, positions this as a highly impactful design leadership opportunity. The preferred skills highlight a niche but valuable background in regulated industries.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 comprehensive case studies detailing your involvement in complex product initiatives from initial concept through to successful launch.

• AI/ML Product Focus: At least one case study must highlight your experience designing AI-powered or AI-native user experiences, detailing the problem, your approach, and the outcomes.

• Problem/Solution Articulation: Clearly articulate the user or business problems addressed, your design process, and how your solutions delivered measurable impact.

• Design System Contribution: Demonstrate any experience you have in contributing to, evolving, or building design systems, showcasing consistency and scalability.

• Prototyping & Validation: Include examples of interactive prototypes and how they were used to test hypotheses or validate design decisions.

Process Documentation:

• Workflow Optimization: Provide examples of how you've redesigned or optimized complex operational workflows through user-centered design.

• Data-Driven Design: Showcase how you've incorporated user research and data analytics into your design process to drive impactful outcomes.

• Collaboration & Iteration: Illustrate your collaborative design process, including how you work with cross-functional teams and iterate based on feedback.

📝 Enhancement Note: For a Staff Product Designer role, especially one focused on AI and operational complexity, the portfolio is paramount. It needs to demonstrate not just aesthetic skill but strategic thinking, problem-solving abilities for complex systems, and a proven track record of delivering impactful, AI-driven solutions. The emphasis should be on showcasing the process and the impact, not just the final visuals.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: €90,000 - €130,000 per annum (This is an estimate based on Staff Product Designer roles in Ireland with significant experience in enterprise/fintech, and may vary based on exact experience, skills, and negotiation.)

• Methodology: This estimate is derived from an analysis of salary benchmarks for senior/staff product design roles in Ireland, considering the average cost of living and typical compensation for positions requiring 8+ years of specialized experience in technical and AI-focused product design. Data sources typically include industry salary reports, recruitment agency insights, and compensation data aggregators for the European market.

Benefits:

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

• Equity Participation Opportunities: Potential to gain ownership in the company's growth.

• Remote-First Work Environment: Flexibility to work remotely, with potential for in-person collaboration when beneficial.

• Comprehensive Healthcare: Coverage for medical, dental, and vision needs.

• Unlimited Paid Time Off: A policy designed to promote work-life balance and employee well-being.

• Professional Development: Opportunities for continuous learning, training, and skill enhancement.

• AI-First Organization: Exposure to cutting-edge AI technology and innovation.

• Collaborative Culture: A supportive and inclusive team environment with regular social events.

• High Ownership & Autonomy: Significant freedom to shape products and strategic initiatives.

• Global Impact: Opportunity to contribute to products enhancing global security and trust.

Working Hours:

• Standard full-time hours (estimated 40 hours per week), with flexibility in scheduling due to the remote-first nature of the role. Emphasis on results and collaboration over strict hours.

📝 Enhancement Note: The provided benefits are quite generous, emphasizing work-life balance and professional growth, which is attractive for senior talent. The salary range is an estimate, crucial for operations professionals who often evaluate roles based on total compensation and long-term career value. The "remote-first" with an Ireland base implies potential for hybrid work if desired, but the primary expectation is remote.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, AI, Financial Services Technology (Fintech) support

Company Size: Not explicitly stated, but the "Staff" level and mention of "design systems" and "influencing design quality across teams" suggests a growing company or one with established design maturity. The need for a partner company management implies Jobgether is facilitating hiring for a client.

Founded: Not explicitly stated, but the focus on AI and modern tech stack suggests a relatively recent or forward-thinking organization.

Team Structure:

• Product Design Team: Likely comprises a mix of individual contributors and potentially leads, with this role expected to provide senior guidance.

• Cross-functional Collaboration: Works closely with Product Management, Engineering (likely AI/ML engineers, backend, frontend), Data Science, and potentially Risk/Compliance subject matter experts.

• Reporting: Likely reports into a Head of Product, Director of Design, or a similar senior leadership role.

Methodology:

• AI-First Approach: Core to the company's strategy and product development.

• Data-Driven Design: Emphasis on using insights from user research and product analytics to inform decisions.

• Agile/Iterative Development: Common in tech companies, suggesting a fast-paced, iterative design and development cycle.

• Design System Driven: Focus on building scalable and consistent user experiences.

Company Website: jobgether.com (for Jobgether platform), client company website not specified.

📝 Enhancement Note: The company is described as an "AI-first organization" focused on "AI-powered decision-making products" for "complex financial and risk management environments." This framing suggests a company at the forefront of applying AI to solve critical operational challenges in regulated industries. The collaboration with Jobgether indicates a structured, potentially AI-assisted hiring process focused on candidate-role fit.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer. This is a senior individual contributor role, often seen as a step below Principal or Director, but above Senior Product Designer. It implies significant autonomy, strategic influence, and the ability to mentor others and drive large, complex initiatives. The role is expected to be a key driver of product strategy and design excellence.

Reporting Structure: Typically reports to a Director of Product Design, Head of Design, or VP of Product. This structure allows for direct interaction with senior leadership and influence on organizational design standards.

Operations Impact: The role has a direct impact on the usability and effectiveness of critical operational tools used in finance and risk management. By creating intuitive AI-driven interfaces, the designer will enable organizations to make better, faster, and more compliant decisions, directly influencing operational efficiency, risk mitigation, and fraud prevention success rates. This translates to tangible business outcomes like reduced financial losses, improved compliance adherence, and enhanced operational throughput.

Growth Opportunities:

• Design Leadership: Potential to grow into Principal Product Designer, Design Lead, or management roles, guiding larger teams and strategic design vision.

• Specialization: Deepen expertise in AI-native design, explainable AI, or specific domains like fintech risk and compliance.

• Strategic Influence: Take on more responsibility in product strategy, influencing the company's long-term vision and technological direction.

• Cross-functional Exposure: Gain deeper insights into product management, engineering, and the intricacies of financial operations.

• Mentorship: Continue to mentor and develop junior designers, contributing to the growth of the design practice.

📝 Enhancement Note: This role offers a clear path for a senior designer to exert significant influence and grow into leadership positions. The emphasis on AI and specialized domains provides opportunities for deep technical and industry expertise development, crucial for long-term career relevance in operations-adjacent technology.

🌐 Work Environment

Office Type: Remote-first, with the possibility of occasional in-person team events or strategy sessions, though not explicitly stated as mandatory. The primary expectation is that employees can work effectively from their chosen remote location within Ireland.

Office Location(s): Primarily remote within Ireland. The mention of "Ireland" as the location suggests adherence to local employment laws and potentially tax implications for the employer.

Workspace Context:

• Autonomy & Flexibility: Employees have significant autonomy over their work environment and schedule, provided they meet collaboration and delivery expectations.

• Digital Collaboration Tools: Reliance on tools like Slack, Zoom, Figma, and project management software to maintain connectivity and workflow.

• Focus on Results: The environment is likely performance-driven, with an emphasis on delivering high-quality work and achieving product goals.

• Innovation Culture: Encouragement of experimentation and pushing the boundaries of AI in design.

Work Schedule: Full-time, standard working hours (estimated 40 hours/week), but with flexibility inherent to a remote-first model. Emphasis on asynchronous communication and meeting deadlines.

📝 Enhancement Note: The "remote-first" nature necessitates strong self-discipline, proactive communication, and comfort with digital collaboration tools. For operations professionals, this structure often translates to better work-life integration, but requires diligent time management.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether AI): An AI-powered matching process by Jobgether to assess core requirements and shortlist candidates.

• Hiring Manager Review: Shortlisted candidates' profiles and portfolios are shared with the partner company's hiring team.

• Design Assessment/Challenge: Likely a take-home assignment or a live design exercise focused on a complex problem, potentially involving AI or operational workflows. This assesses problem-solving, strategic thinking, and design execution.

• Portfolio Presentation & Discussion: Candidates will present their portfolio, focusing on key case studies, design process, and impact. This will involve deep dives into their experience with AI, complex systems, and stakeholder collaboration.

• Cross-functional Interviews: Discussions with Product Managers, Engineers, and potentially other stakeholders to assess collaboration skills and understanding of the technical/business context.

• Final Interview: With senior leadership (e.g., Head of Product/Design) to assess strategic alignment, leadership potential, and cultural fit.

Portfolio Review Tips:

• Highlight AI/ML Impact: Clearly demonstrate your contributions to AI-native products and the specific value they delivered. Quantify impact where possible (e.g., improved efficiency, reduced errors, faster decision-making).

• Showcase Complex Problem-Solving: Detail how you approached and solved intricate design challenges, particularly those involving data, complex workflows, or technical constraints.

• Articulate Your Process: Walk through your design thinking, research methodologies, iteration cycles, and how you collaborated with teams. Explain why you made specific decisions.

• Demonstrate Systemic Thinking: Show how your designs fit into a larger product ecosystem and contribute to a cohesive user experience.

• Tailor to the Role: Emphasize experiences relevant to fintech, risk management, or AI-driven operational tools.

Challenge Preparation:

• Understand the Domain: Research AI in financial services, risk management, compliance, and fraud prevention. Familiarize yourself with common operational challenges in these areas.

• Focus on Process & Impact: For any design challenge, emphasize your thought process, the trade-offs you considered, and the measurable outcomes your design would achieve.

• AI Integration: Be prepared to discuss how AI can be applied effectively and ethically within the context of the challenge.

• Stakeholder Alignment: Consider how you would communicate your design decisions and gain buy-in from diverse stakeholders (e.g., engineers, product managers, compliance officers).

📝 Enhancement Note: The interview process is multi-stage and rigorous, with a strong emphasis on portfolio and practical application. Candidates need to be prepared to showcase not just design skills but also strategic thinking, domain understanding, and strong communication abilities, especially regarding AI and operational efficiency.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Must have advanced proficiency for UI design, prototyping, and collaborative workflows.

• High-Fidelity Prototyping Tools: Experience with tools integrated with Figma or standalone tools for complex interactive prototypes (e.g., Protopie, Framer, or advanced Figma features).

• User Research Platforms: Familiarity with tools for conducting usability testing, surveys, and analyzing user feedback (e.g., UserTesting.com, Maze, SurveyMonkey).

• Collaboration Tools: Proficiency with tools like Slack, Zoom, Jira, Confluence, and Miro for communication, project management, and collaborative design sessions.

Analytics & Reporting:

• Analytics Platforms: Understanding of how to interpret data from analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) to inform design decisions.

• Data Visualization Tools: Familiarity with how data is presented and consumed, potentially interacting with dashboards created in tools like Tableau or Power BI.

CRM & Automation:

• CRM Systems: While not a direct user role, understanding how design impacts CRM workflows (e.g., Salesforce) can be beneficial for enterprise product design.

• Automation Tools: Awareness of how AI and automation are integrated into workflows, influencing the design of user interfaces for efficiency.

📝 Enhancement Note: The emphasis on Figma and advanced prototyping is critical. Familiarity with research and collaboration tools is standard. For this role, understanding how data analytics and AI automation inform design is key, rather than direct operational use of CRM/automation tools.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: Deep understanding of user needs, especially within complex operational environments.

• Data-Driven Decisions: Reliance on research and analytics to guide design choices and measure impact.

• Innovation & AI Integration: A forward-thinking approach, embracing new technologies like AI to solve problems.

• Collaboration & Teamwork: Strong emphasis on working effectively with cross-functional teams to achieve shared goals.

• Excellence & Craftsmanship: Commitment to high-quality design output and continuous improvement.

• Ownership & Accountability: Taking responsibility for projects and driving them to successful completion.

Collaboration Style:

• Partnership-Oriented: Works closely with Product Managers and Engineers, fostering a collaborative relationship where design is integrated early and often.

• Transparent Communication: Openly shares design rationale, research findings, and potential challenges.

• Iterative Feedback: Actively seeks and provides constructive feedback within design reviews and cross-functional discussions.

• Solution-Focused: Focuses on finding the best solutions to user and business problems, rather than adhering rigidly to initial ideas.

📝 Enhancement Note: The company culture appears to value innovation, data, and collaboration, with a strong focus on delivering tangible value through AI-powered solutions in operational contexts. This aligns well with the GTM operations and revenue operations mindset of driving business outcomes.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Domain: Designing for intricate financial, risk, and compliance workflows requires deep understanding and careful consideration of regulatory requirements and edge cases.

• AI Explainability: Designing interfaces that clearly explain AI decisions and build user trust is a significant challenge, especially in high-stakes environments.

• Balancing Innovation and Usability: Integrating cutting-edge AI features while ensuring the product remains intuitive and efficient for operational users.

• Cross-functional Alignment: Ensuring buy-in and seamless integration with engineering and product teams on complex AI-driven features.

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

Learning & Development Opportunities:

• Mastering AI-Native Design: Becoming a leader in designing for AI, machine learning, and generative interfaces.

• Domain Expertise: Developing deep knowledge in fintech, risk management, and compliance operations.

• Strategic Product Influence: Growing capabilities to influence product strategy and long-term company vision.

• Leadership & Mentorship: Opportunities to mentor designers and contribute to the growth of the design practice.

• Industry Exposure: Engaging with new technologies and best practices in AI and enterprise software design.

📝 Enhancement Note: The primary challenges stem from the technical complexity of AI and the sensitive nature of the financial/risk domain. Growth opportunities are significant for individuals looking to specialize in AI design and gain deep domain expertise within a fast-paced, innovative tech environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the end-to-end design of a complex enterprise product. What were the key challenges, and how did you overcome them?" (Focus on process, collaboration, and outcomes.)

• "How would you approach designing an 'explainable AI' feature for a risk assessment tool? What are the crucial design considerations?" (Assess understanding of AI ethics, transparency, and user trust.)

• "Walk us through a product strategy initiative you influenced. What was your role, and how did you align stakeholders?" (Demonstrate strategic thinking and influencing skills.) Company & Culture Questions:

• "What interests you most about designing AI-powered products for financial risk management?" (Gauge understanding of the domain and motivation.)

• "How do you contribute to a remote-first team culture and ensure effective collaboration?" (Assess communication and teamwork skills in a remote setting.)

• "How do you stay current with advancements in AI and their application in product design?" (Evaluate commitment to continuous learning.) Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of your career and then dive into 2-3 most relevant case studies. For each, clearly state the problem, your role, your process, design decisions, and the impact/outcomes (quantified if possible).

• AI Focus: Explicitly highlight your experience with AI-native features, generative interfaces, or explainable AI within your case studies.

• Process Emphasis: Detail your user research, ideation, prototyping, and iteration steps. Show how you arrived at your solutions.

• Stakeholder Collaboration: Mention how you worked with product managers, engineers, and other stakeholders throughout the process.

• Conciseness: Be mindful of time, focusing on the most impactful aspects of your work. Be prepared for deep-dive questions.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of strategic design thinking, deep understanding of AI and complex systems, strong collaboration skills, and a results-oriented mindset, particularly as it applies to operational efficiency in regulated industries.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided Jobgether portal.

• Customize your Resume: Ensure your resume highlights your 8+ years of experience, specific skills in enterprise/complex product design, AI-native UX, Figma, and any relevant domain experience (Fintech, Risk Management). Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best represent your ability to design AI-powered products, solve complex operational problems, and drive impact. Ensure your portfolio clearly articulates your process, challenges, and outcomes.

• Prepare Your Narrative: Be ready to articulate your design philosophy, your approach to AI design, and your experience collaborating with cross-functional teams during interviews. Practice presenting your portfolio case studies concisely and effectively.

• Research the Company: While the client company is not specified, research Jobgether's platform and their approach to AI in hiring. Understand the general landscape of AI in financial technology and risk management.

⚠️ 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.