Staff Product Designer at Jobgether

📍 Job Overview

Job Title: Staff Product Designer

Company: Jobgether (Partner Company)

Location: Austria

Job Type: Full-time

Category: Product Design (AI/Fintech/Risk Management Focus)

Date Posted: 2026-06-19

Experience Level: Senior/Staff (8+ years required, AI-driven insights suggest 10+)

Remote Status: Remote OK (Austria-based preferred, Remote-first)

🚀 Role Summary

Lead end-to-end product design for complex, AI-powered decision-making platforms within financial risk, compliance, and fraud prevention sectors.
Shape product strategy and long-term vision through advanced prototyping and concept development, focusing on AI-native user experiences.
Drive design excellence by evolving design systems, establishing best practices for AI integration, and mentoring design talent.
Collaborate with cross-functional leadership to transform intricate operational workflows into intuitive and impactful user interfaces.

📝 Enhancement Note: The AI analysis of experience level indicates "10+" years, suggesting that while 8 years is the stated minimum, candidates with a decade or more of relevant experience will likely be highly competitive. The "Remote OK" status with a preference for Austria suggests a hybrid or location-specific remote model, offering flexibility within a particular region.

📈 Primary Responsibilities

Spearhead the complete design lifecycle for critical platform features, from initial user research and strategy formulation through to final implementation and launch.
Define and champion long-term product vision initiatives by developing compelling prototypes and concepts that align diverse stakeholders on future product direction.
Design and iterate on cutting-edge AI-native user experiences, including intelligent assistants, automated workflows, generative interfaces, and explainable AI decision systems.
Actively partner with product management, engineering, and other key stakeholders to influence roadmap decisions and strategic product priorities.
Deconstruct and simplify complex operational, compliance, and risk-related workflows, translating them into highly intuitive and efficient user experiences.
Create interactive prototypes to rigorously validate design concepts, mitigate development risks, and accelerate the overall product development cycle.
Champion the continuous evolution of the company's design system, ensuring consistency, scalability, and the delivery of consistently high-quality user experiences across the entire platform.
Uphold and elevate the standard of design craftsmanship through structured design reviews, constructive feedback loops, and proactive cross-team collaboration.
Conduct and integrate user research findings, customer insights, and data analytics into all aspects of product development and design decision-making.
Serve as an advocate for pioneering design methodologies and the strategic application of Artificial Intelligence throughout the product design and development process.

📝 Enhancement Note: The responsibilities emphasize a senior-level contribution, requiring the candidate to not only execute design but also to influence strategy, mentor others, and drive best practices. The focus on "AI-native" experiences and complex enterprise environments suggests a need for deep expertise in tackling challenging, data-intensive problems.

🎓 Skills & Qualifications

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

Experience: 8+ years of dedicated experience in designing complex, web-based enterprise products, with a strong emphasis on technical, data-driven, or highly regulated environments.

Required Skills:

Product Design Leadership: Proven ability to lead end-to-end design processes for significant product areas.
AI-Native UX Design: Demonstrated experience designing for AI-powered products, including intelligent assistants, automated workflows, and explainable AI.
Interaction & Visual Design: Deep expertise in creating intuitive user flows, robust information architecture, and compelling visual interfaces.
Systems Thinking: Capacity to design scalable and consistent experiences within complex product ecosystems and design systems.
Prototyping & Validation: Advanced proficiency in Figma and high-fidelity prototyping tools for concept validation and stakeholder communication.
User Research & Insights: Experience conducting user research and translating findings into actionable design improvements.
Cross-Functional Collaboration: Strong partnership skills with product managers, engineers, data scientists, and other technical stakeholders.
Strategic Influence: Ability to communicate design rationale effectively and influence product strategy and roadmap decisions.
Mentorship: Experience mentoring junior designers, setting design standards, or improving design quality across teams.
Problem-Solving: Excellent analytical and problem-solving skills tailored to complex operational challenges.

Preferred Skills:

Experience within the Fintech, Risk Management, Compliance, or Fraud Prevention sectors.
Familiarity with generative AI tools and their application within the design workflow.
Experience designing for developer tools or other highly technical B2B products.
Knowledge of data visualization principles and best practices for presenting complex data.

📝 Enhancement Note: The requirement for "8+ years" and the AI-derived "10+" years strongly indicates a need for a Staff-level designer who can operate with significant autonomy and strategic impact. The emphasis on AI-native design and enterprise complexity suggests that candidates with experience in B2B SaaS, particularly in regulated industries, will be highly favored.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

A robust portfolio showcasing a minimum of 8 years of product design work, with a clear emphasis on complex B2B or enterprise applications.
Demonstrate end-to-end design ownership, from problem definition and user research through to final design implementation and iteration.
Highlight specific case studies focused on AI-powered features, intelligent automation, or explainable AI interfaces.
Include examples of contributions to or leadership in evolving design systems, showcasing scalability and consistency.
Showcase proficiency in Figma and advanced prototyping techniques, illustrating how prototypes were used for validation and decision-making.
Clearly articulate the impact of your designs, ideally with quantifiable metrics related to user efficiency, adoption, or business outcomes. Process Documentation:
Evidence of structured design processes, including user research methodologies, ideation workshops, and iterative design sprints.
Examples of how you've translated complex operational workflows or technical requirements into intuitive user experiences.
Demonstrate how you've used data (user research, analytics, A/B testing) to inform and validate design decisions.
Showcase your approach to collaborating with engineering and product management, detailing how you ensure design fidelity and feasibility.

📝 Enhancement Note: The portfolio is paramount for this role. Candidates must be prepared to present detailed case studies that not only showcase design skills but also strategic thinking, problem-solving abilities in complex domains, and a deep understanding of AI-driven product development. The emphasis on "process" implies a need to articulate how design challenges were solved, not just what the final designs looked like.

💵 Compensation & Benefits

Salary Range:

Given the Staff-level designation, 8+ years of experience, and the specialized nature of AI/Fintech design in Austria, a competitive salary range is estimated. For a Staff Product Designer in Austria with significant enterprise and AI experience, the annual gross salary could range from €90,000 to €130,000+. This range is based on industry benchmarks for senior design roles in Western Europe, adjusted for the high demand for AI and specialized fintech skills. Equity participation opportunities mentioned in the benefits could significantly increase total compensation. Benefits:
Competitive Salary Package: A strong base salary commensurate with experience and impact.
Equity Participation Opportunities: Potential for stock options or other equity grants, aligning personal success with company growth.
Remote-first Work Environment: Flexibility to work remotely, with a preference for candidates based in Austria.
Comprehensive Healthcare: Robust health insurance coverage.
Dental & Vision Coverage: Inclusion of dental and vision insurance plans.
Unlimited Paid Time Off: A generous policy to encourage 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 technologies and innovation.
Collaborative Culture: A supportive and family-friendly work environment with regular team events.
High Ownership & Autonomy: Significant freedom to shape products and strategic initiatives.
Global Impact: Opportunity to contribute to technology that enhances security and trust in digital transactions.

Working Hours: While a standard 40-hour work week is implied by the "Full-time" employment type, the remote-first and unlimited PTO policies suggest a focus on results and flexibility rather than strict hour-by-hour tracking. Operations professionals are often expected to manage their time effectively to meet project deadlines and collaborate across time zones if necessary.

📝 Enhancement Note: The salary estimate is based on general market data for senior design roles in a high-cost-of-living European country like Austria, combined with the premium for specialized AI and Fintech experience. The equity component can significantly influence the total compensation package and should be a key discussion point.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focusing on AI-powered decision-making solutions for financial services, risk management, and compliance. This sector is characterized by rapid innovation, data intensity, and a strong emphasis on security and regulatory adherence.

Company Size: While not explicitly stated, the mention of "partner company" and "lead design... across the organization" suggests a growing, potentially mid-sized to large enterprise technology firm that has established core products and is now scaling its design and product functions. The AI-powered matching process used by Jobgether also implies a tech-forward organization.

Founded: The founding date is not provided, but the focus on AI, complex enterprise solutions, and scaling design functions suggests a company that has likely been established for several years, moving beyond its startup phase into a growth or maturity phase.

Team Structure:

The role involves leading design for "major product areas," implying a structured product organization with dedicated product managers and engineering teams aligned to specific domains.
The designer will report into design leadership (e.g., Head of Design, Director of Product Design) and work closely with Product Management and Engineering leadership, indicating a collaborative, matrixed reporting structure typical of mature tech companies.
Significant cross-functional collaboration is expected with Product Managers, Engineers, Data Scientists, and potentially Legal/Compliance teams, highlighting the importance of strong communication and partnership skills. Methodology:
Data-Driven Design: Emphasis on using user research, analytics, and AI-driven insights to inform product decisions.
Agile/Iterative Development: The mention of prototypes for validation and accelerating development points to agile methodologies, where design is integrated into iterative development cycles.
Design System Maturity: A focus on evolving and maintaining a design system indicates a commitment to scalable, consistent, and high-quality design practices.
AI-First Approach: The company is positioned as "AI-first," suggesting that AI considerations are integrated into product strategy, design, and development from the outset.

Company Website: https://jobgether.com/ (Jobgether's platform, the partner company's website is not directly provided)

📝 Enhancement Note: The context of AI in financial risk and compliance is critical. This means the company operates in a high-stakes environment where accuracy, explainability, and security are paramount. Designers must be comfortable with complexity and the need for rigorous validation. Jobgether's role as an AI-powered applicant platform further reinforces the company's commitment to leveraging technology.

📈 Career & Growth Analysis

Operations Career Level: This is a Staff-level Product Designer role. Staff designers are typically senior individual contributors who own significant product areas, influence strategy, and mentor others. They are expected to operate with a high degree of autonomy, tackle ambiguous problems, and drive impactful outcomes through design. This level often serves as a stepping stone to Principal Designer or management roles.

Reporting Structure: The Staff Product Designer will likely report to a Director or Head of Product Design. They will work in close partnership with Product Management and Engineering leadership, forming a core triad for product development. The role also entails mentoring junior designers and influencing design standards across the broader team.

Operations Impact: The designer's impact is directly tied to shaping AI-powered decision-making products that drive critical business outcomes for clients in finance, risk, and compliance. This includes improving efficiency, reducing risk, ensuring compliance, and enabling better strategic decisions through intuitive interfaces. The role has a direct influence on product strategy, long-term vision, and the overall quality of the user experience across the platform.

Growth Opportunities:

Strategic Leadership: Develop into a Principal Designer or lead design for larger product portfolios, taking on more complex strategic challenges.
AI Design Specialization: Deepen expertise in designing for AI-native experiences, becoming a recognized authority in this emerging field.
Mentorship & Team Building: Grow into a design leadership role, responsible for mentoring teams, setting design standards, and shaping the design culture.
Cross-Functional Acumen: Enhance skills in influencing product strategy, working with executive stakeholders, and driving consensus across diverse teams.
Domain Expertise: Develop deep knowledge in Fintech, risk management, or compliance, becoming a valuable subject matter expert.

📝 Enhancement Note: The "Staff" title signifies a senior individual contributor role focused on technical and strategic leadership within design. Growth opportunities will likely involve expanding scope, deepening specialization (especially in AI), and taking on more mentorship or strategic influence.

🌐 Work Environment

Office Type: The company operates on a "Remote-first" model, with a preference for candidates based in Austria. This suggests that while physical office space may exist for collaboration or specific regional needs, the primary mode of work is remote.

Office Location(s): While the primary preference is Austria, the "Remote-first" nature implies that remote work within specific regions or countries might be considered, though Austrian-based candidates are favored. Further clarification on regional remote work policies would be beneficial.

Workspace Context:

Collaborative Environment: Expect a highly collaborative environment where design, product, and engineering teams work closely together, leveraging digital collaboration tools.
Tools & Technology: Access to industry-standard design tools (Figma), high-fidelity prototyping software, and potentially AI tools integrated into the design workflow.
Team Interaction: Regular virtual team meetings, design critiques, brainstorming sessions, and opportunities for informal virtual interactions to foster team cohesion. The mention of "regular team events and company gatherings" suggests periodic in-person or virtual events aimed at building culture.

Work Schedule: The "unlimited paid time off" and "remote-first" policies suggest a results-oriented work environment that values flexibility and work-life balance. While a standard 40-hour work week is typical for full-time roles, employees are likely empowered to manage their schedules to meet project demands and personal needs, fostering a culture of trust and autonomy.

📝 Enhancement Note: The "Remote-first" nature with an Austrian preference is key. Candidates should confirm if "remote" means fully distributed or if there are expectations for occasional office visits or regional proximity. The focus is on output and collaboration, not necessarily fixed hours.

📄 Application & Portfolio Review Process

Interview Process:

Initial Screening (Jobgether): AI-powered matching followed by a brief review by Jobgether to ensure basic fit before forwarding to the partner company.
Portfolio Review & Initial Interview: The partner company's hiring manager or design lead will likely conduct an in-depth review of your portfolio. This will be followed by an interview focusing on your experience, design philosophy, and approach to AI-native design challenges. Be prepared to walk through 2-3 key case studies.
Design Challenge/Workshop: A practical exercise, potentially a take-home challenge or a live workshop, simulating a real product problem. This will assess your problem-solving skills, design process, and ability to articulate your rationale. Focus on how you'd approach an AI-driven design problem.
Cross-Functional Interviews: Interviews with Product Management and Engineering leads to assess collaboration style, technical understanding, and ability to integrate design into the development lifecycle.
Final Interview: May involve senior leadership (e.g., Head of Product, CTO) to discuss strategic alignment, cultural fit, and long-term vision.

Portfolio Review Tips:

Curate Strategically: Select 3-4 projects that best showcase your experience with complex enterprise products, AI-native design, and end-to-end ownership. Prioritize projects with quantifiable impact.
Tell a Story: For each case study, clearly articulate the problem, your role, the design process (research, ideation, prototyping, testing), key decisions, and the final outcome/impact. Use visuals effectively.
Highlight AI & Complexity: Specifically call out your experience with AI features, machine learning outputs, explainable AI, and how you handled intricate operational or data-intensive workflows.
Showcase Figma & Prototyping: Demonstrate your proficiency with Figma and present interactive prototypes, explaining how they were used for validation and collaboration.
Quantify Impact: Wherever possible, include metrics demonstrating the success of your designs (e.g., improved user efficiency, reduced error rates, increased adoption, positive feedback).
Be Ready to Discuss: Prepare to answer questions about your design choices, trade-offs made, and how you collaborate with technical teams.

Challenge Preparation:

Understand the Domain: Familiarize yourself with AI in Fintech, risk management, and compliance. Research common challenges and user needs in these areas.
Practice AI Design Thinking: Think about how AI can enhance user experiences, automate tasks, or provide insights in complex workflows. Consider challenges like data bias, explainability, and user trust.
Structure Your Approach: For any challenge, outline your process: problem definition, user research (even if hypothetical), ideation, solution design, and validation methods.
Articulate Trade-offs: Be prepared to discuss the trade-offs inherent in design decisions, especially when balancing user needs, business goals, and technical constraints.
Focus on Communication: Practice presenting your thinking clearly and concisely, as if to a mixed audience of designers, product managers, and engineers.

📝 Enhancement Note: The interview process heavily emphasizes portfolio review and practical design application, particularly in AI and complex domains. Candidates must be ready to demonstrate not just aesthetic skill but strategic thinking and problem-solving prowess.

🛠 Tools & Technology Stack

Primary Tools:

Figma: Essential for UI design, prototyping, and collaboration. Advanced proficiency is a must.
High-Fidelity Prototyping Tools: Likely includes Figma's prototyping capabilities, or potentially tools like Principle, ProtoPie, or Axure for more complex interactive prototypes.
User Research Platforms: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, Maze).
AI Tools in Design: Proficiency or familiarity with AI tools that can assist in ideation, content generation, workflow optimization, or even code generation within the design process.

Analytics & Reporting:

Product Analytics Tools: Experience with platforms like Mixpanel, Amplitude, or Google Analytics to understand user behavior and measure design impact.
Data Visualization Tools: Familiarity with tools like Tableau, Power BI, or even advanced Excel/Google Sheets for analyzing and presenting data insights.
A/B Testing Platforms: Understanding of how to design experiments and interpret results from A/B testing.

CRM & Automation:

While not a direct CRM role, understanding how design impacts CRM workflows or how data from CRM systems informs design decisions is beneficial.
Familiarity with project management and collaboration tools such as Jira, Confluence, Asana, or Trello is standard.
Understanding of API integrations and how design might interact with backend systems or third-party services.

📝 Enhancement Note: The explicit mention of Figma and AI tools in the design process highlights the required technical expertise. Candidates should be prepared to discuss their experience with these specific tools and their approach to integrating AI into their design workflow.

👥 Team Culture & Values

Operations Values:

Innovation & AI Leadership: A strong drive to push the boundaries of AI in decision-making products, fostering a culture of experimentation and continuous learning.
Data-Driven Decision Making: Commitment to using data, user research, and AI insights to guide product development and design choices.
User-Centricity: Deep focus on understanding and solving complex user problems, translating them into intuitive and effective experiences.
Collaboration & Partnership: Emphasis on strong, cross-functional teamwork, valuing open communication and shared ownership with engineering and product teams.
Excellence & Craftsmanship: A dedication to high-quality design, attention to detail, and continuous improvement of design systems and processes.
Impact & Ownership: A culture that empowers individuals with significant autonomy and ownership to drive meaningful business outcomes.

Collaboration Style:

Integrated Design Process: Design is not an afterthought but an integral part of the product development lifecycle, involving close collaboration from ideation through launch.
Transparent Communication: Open sharing of ideas, feedback, and design rationale across teams, fostering a culture of constructive critique.
Shared Ownership: Product, Engineering, and Design work as a cohesive unit, with shared responsibility for product success.
Knowledge Sharing: Encouragement of sharing best practices, learnings, and new techniques, particularly around AI and complex design challenges.

📝 Enhancement Note: The culture likely values proactivity, strategic thinking, and a passion for solving complex problems using cutting-edge technology. Designers must be comfortable working in a fast-paced, collaborative environment where innovation is key.

⚡ Challenges & Growth Opportunities

Challenges:

Designing for Explainable AI: Communicating complex AI decisions and reasoning to users in an intuitive and trustworthy manner is a significant design challenge.
Handling Data Complexity: Transforming vast amounts of intricate data into actionable insights and user-friendly interfaces requires sophisticated design thinking.
Balancing Innovation with Regulation: Designing for highly regulated industries like finance and compliance requires a deep understanding of constraints and the ability to innovate within them.
AI Integration Evolution: Staying ahead of the curve with rapidly evolving AI technologies and their application in UX design requires continuous learning and adaptation.
Cross-Functional Alignment: Ensuring buy-in and alignment on complex design strategies with diverse stakeholders (engineering, product, legal, risk) can be challenging.

Learning & Development Opportunities:

AI Design Specialization: Opportunities to become a subject matter expert in designing for AI-native products, potentially attending AI-focused conferences or workshops.
Fintech/Risk Domain Expertise: Deep dive into the intricacies of financial services, risk management, and compliance, becoming a valuable domain expert.
Advanced Prototyping & Tools: Learning and applying new design and AI tools to enhance the design process and output.
Leadership & Mentorship: Developing leadership skills through mentoring junior designers and influencing design strategy at a higher level.
Strategic Product Influence: Gaining experience in shaping product roadmaps and long-term vision from a design perspective.

📝 Enhancement Note: The challenges are inherent to the specific domain and technology focus. Candidates should view these not as obstacles but as opportunities for significant professional growth and impact.

💡 Interview Preparation

Strategy Questions:

"Describe a time you led the design for a complex, data-intensive product. What was your process, and what was the outcome?" (Focus on AI/enterprise context).
"How would you approach designing an 'explainable AI' feature for a risk assessment tool? What are the key considerations?" (Demonstrates AI design thinking).
"Walk us through your process for transforming a complex operational workflow into an intuitive user experience. Use a specific example." (Highlights problem-solving and process).
"How do you balance user needs, business objectives, and technical constraints when designing for enterprise software?" (Assesses strategic thinking). Company & Culture Questions:
"What excites you about designing for AI in the financial risk and compliance space?" (Assesses motivation and domain interest).
"How do you contribute to fostering a collaborative design culture and mentoring other designers?" (Evaluates team contribution and leadership potential).
"How do you stay current with advancements in AI and UX design?" (Tests commitment to continuous learning).
"Describe your ideal working relationship with product managers and engineers." (Assesses collaboration style). Portfolio Presentation Strategy:
Structure Your Narrative: For each case study, clearly define the problem, your specific role and contributions, the design process, key decisions and rationale, challenges faced, and the final impact (quantified if possible).
Highlight AI & Complexity: Explicitly call out your experience designing for AI features and navigating complex, data-heavy enterprise environments.
Showcase Figma & Prototyping: Demonstrate your interactive prototypes and explain how they aided in decision-making and stakeholder alignment.
Be Prepared for Deep Dives: Expect detailed questions about your design choices, trade-offs, and the reasoning behind your approach.
Articulate Your Impact: Focus on the outcomes of your work and how it contributed to business goals or user success.

📝 Enhancement Note: Interview preparation should heavily focus on translating experience into tangible examples of strategic thinking, AI design expertise, and collaborative problem-solving within complex enterprise contexts.

📌 Application Steps

To apply for this Staff Product Designer position:

Submit your application through the Jobgether platform; your application will be forwarded to the partner company.
Curate Your Portfolio: Select 3-4 of your strongest case studies that highlight experience with complex enterprise products, AI-native design, and end-to-end product ownership. Ensure these distinctly showcase your Figma skills and ability to design for data-rich environments.
Tailor Your Resume: Emphasize your 8+ years of experience, specific skills in interaction design, visual design, information architecture, systems thinking, and any direct experience with AI product design, Fintech, or risk management. Use keywords from the job description such as "AI-native," "enterprise," "complex workflows," and "Figma."
Prepare Your Narrative: Practice articulating your design process, strategic thinking, and impact for each portfolio project. Be ready to discuss your approach to AI-driven design challenges and collaboration with cross-functional teams.
Research the Domain: Familiarize yourself with the challenges and opportunities in AI for financial risk, compliance, and fraud prevention to better understand the company's context and tailor your responses during interviews.

⚠️ 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.

Staff Product Designer