Lead Product Designer, Applied AI

📍 Job Overview

Job Title: Lead Product Designer, Applied AI

Company: Jobgether (on behalf of a partner company)

Location: Austria

Job Type: Full-time

Category: Product Design / Applied AI

Date Posted: March 03, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead the strategic vision and execution for AI-driven product experiences, focusing on intelligent agents and automated workflows.

• Translate complex machine learning capabilities into user-friendly, trustworthy, and empowering interfaces for creators and businesses globally.

• Design for non-deterministic systems, addressing critical aspects of transparency, user control, and trust in AI interactions.

• Drive the entire design lifecycle from discovery and ideation to launch and continuous iteration in a highly autonomous environment.

• Collaborate closely with engineering and applied AI teams to shape the future of AI-powered collaboration tools.

📝 Enhancement Note: This role is positioned as a strategic leadership opportunity within the burgeoning field of Applied AI product design. The emphasis on "AI-native product experiences" and "non-deterministic systems" indicates a focus on cutting-edge design challenges that require a deep understanding of both user experience principles and the nuances of artificial intelligence. The "remote-first" nature suggests a need for strong async communication and self-management skills.

📈 Primary Responsibilities

• Own and champion the design strategy for all Applied AI product surfaces, from initial concept exploration to post-launch optimization.

• Define and design intuitive user experiences for AI agents, copilots, and automated workflow tools, ensuring seamless integration into user journeys.

• Develop scalable design patterns and interaction models for AI-assisted and AI-automated actions, including triggering, monitoring, editing, and correction workflows.

• Design for transparency and user trust, ensuring users understand AI behavior and maintain effective control over outputs and decisions.

• Conduct rapid prototyping of AI-powered features and user-centric validation through iterative testing and feedback mechanisms.

• Serve as a strategic design partner to Product Management and Engineering, actively influencing roadmap decisions and product direction.

• Collaborate closely with engineering and machine learning teams to iterate on designs as AI capabilities evolve and new technical opportunities arise.

• Provide thought leadership on AI + UX trends, continuously establishing and improving design standards, systems, and best practices.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership and hands-on design execution. The emphasis on "scalable patterns," "transparency and trust," and "strategic partner" suggests a need for a designer who can think systematically, build robust design frameworks, and influence broader product strategy, not just execute individual features.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a strong foundation in Design, Human-Computer Interaction, Computer Science, or a related field is implied.

Experience: 6+ years of dedicated product design experience with a proven track record of delivering high-quality UX and visual design.

Required Skills:

• A strong portfolio showcasing UX excellence and refined visual craft, with a focus on AI-powered products or complex systems.

• Demonstrated experience designing AI-powered products, conversational interfaces, automation tools, or other complex, non-deterministic systems.

• Active personal use of AI within your design workflow (e.g., research, ideation, prototyping, content creation, visual generation) and the ability to articulate its impact.

• Hands-on experience with AI-assisted prototyping tools (e.g., v0, Lovable, Cursor + Claude Code, or similar).

• High proficiency in Figma for high-fidelity design, collaborative workflows, and component-based design systems.

• Exceptional written and verbal communication skills, with a strong emphasis on asynchronous and remote communication effectiveness.

• Ability to operate comfortably in ambiguous environments, clearly define problems, and construct solutions without pre-existing patterns.

• Meticulous attention to detail, ensuring the delivery of polished, production-ready design work.

Preferred Skills:

• Experience with user research methodologies specifically tailored for AI products.

• Familiarity with machine learning concepts and their implications for user experience.

• Experience designing for global or diverse user communities.

• Contributions to design systems or frameworks for AI-powered applications.

📝 Enhancement Note: The requirements emphasize practical, hands-on experience with AI tools and AI product design, going beyond theoretical knowledge. The explicit mention of personal AI workflow integration and AI-assisted prototyping tools signals a desire for a candidate who is not just designing AI products but is also an early adopter and practitioner of AI in their own work.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 6+ years of product design work, with a significant portion dedicated to AI-powered products, automation tools, or complex systems.

• Include detailed case studies that illustrate your process from problem definition to solution, highlighting your strategic thinking and design decisions.

• Demonstrate your ability to translate complex AI capabilities into intuitive and user-friendly interfaces, emphasizing user control and trust.

• Present examples of how you've designed for ambiguity and defined new interaction patterns for novel technologies.

• Include examples of your visual craft and attention to detail in high-fidelity mockups and prototypes.

Process Documentation:

• Detail your approach to user research and validation for AI products, including methods for testing transparency and control mechanisms.

• Illustrate your workflow for integrating AI tools into your personal design process and how this enhances efficiency and creativity.

• Provide examples of how you've collaborated with engineering and ML teams to iterate on AI-driven features.

• Document your process for defining and scaling design patterns for AI actions and workflows.

📝 Enhancement Note: The portfolio requirements are heavily geared towards demonstrating practical experience with AI and complex systems. Candidates must be prepared to articulate their design process, specifically how they approach the unique challenges of AI, including user trust, transparency, and ambiguity. The emphasis on Figma and AI prototyping tools is critical.

💵 Compensation & Benefits

Salary Range: $140,000 – $170,000 USD per year.

Benefits:

• Equity participation in a high-growth environment.

• Fully remote work flexibility, allowing operation from anywhere globally.

• Generous Paid Time Off: 35 days annually.

• Sabbatical program: Paid sabbatical after 5 years of service.

• Comprehensive healthcare coverage: 100% coverage for employees and families in applicable regions, or reimbursement options.

• Parental leave for new parents.

• Home office stipend to support remote workspace setup.

• Learning & Development stipend to foster continuous professional growth.

• Annual bonus eligibility for applicable roles.

• Biannual, fully funded global company retreats in inspiring destinations.

Working Hours: While not explicitly stated, a standard 40-hour work week is implied for a full-time role, with flexibility inherent in a remote-first environment.

📝 Enhancement Note: The salary range is provided in USD, suggesting the company operates on a global compensation model or is US-based. The benefits package is comprehensive, with a strong emphasis on remote work support, work-life balance (generous PTO, sabbatical, parental leave), and professional development. The "home office stipend" and "learning & development stipend" are particularly relevant for a remote role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on AI-powered collaboration and creator tools.

Company Size: Not explicitly stated, but implied to be a high-growth environment with a global reach and a remote-first operational model.

Founded: Not explicitly stated, but the focus on AI and remote-first operations suggests a modern, forward-thinking company.

Team Structure:

• The design team likely operates within a flat or highly collaborative structure, common in remote-first, high-growth tech companies.

• Close partnership with Product Management and Engineering (specifically Applied AI/ML teams) is a core element of the role.

Methodology:

• Emphasis on data-driven decision-making and user feedback loops for product iteration.

• Agile development methodologies are likely employed, requiring designers to be adaptable and responsive to evolving AI capabilities.

• A strong focus on innovation and pushing the boundaries of AI-UX integration.

Company Website: Jobgether.com (as the posting platform, but the partner company's site is not directly provided).

📝 Enhancement Note: The culture is described as "highly autonomous" and "remote-first," indicating a need for self-starters who thrive without constant direct supervision. The partnership with Jobgether, which uses an "AI-powered matching process," suggests the company itself may also leverage AI in its operations or hiring.

📈 Career & Growth Analysis

Operations Career Level: This is a "Lead" position, signifying a senior individual contributor role with significant influence and responsibility. It's a step beyond senior designer, often involving mentorship, strategic direction, and ownership of major product areas.

Reporting Structure: The role reports to a design leader or directly to a head of product/engineering, with close collaboration across functional teams. The designer acts as a strategic partner, implying a high degree of autonomy and influence.

Operations Impact: The Lead Product Designer will have a direct and substantial impact on the company's core product offerings, shaping how users interact with advanced AI technologies. Success in this role will directly influence user adoption, engagement, and the overall value proposition of the AI-powered products.

Growth Opportunities:

• Potential to become a principal designer or design manager as the AI product suite expands.

• Opportunity to specialize further in AI ethics, leading design initiatives in user trust and transparency.

• Develop expertise in defining and scaling complex design systems for AI-driven platforms.

• Gain deep experience in a cutting-edge field (Applied AI) with high market demand.

📝 Enhancement Note: This role offers a significant opportunity for career advancement within the specialized and growing field of AI product design. The "Lead" title suggests a path towards more senior or managerial roles, with a strong emphasis on strategic impact and thought leadership.

🌐 Work Environment

Office Type: Fully Remote. This means there is no central physical office required for this role.

Office Location(s): The role is open to candidates located in Austria, but the "fully remote" aspect suggests potential flexibility beyond this specific country, depending on company policy and tax implications.

Workspace Context:

• A fully remote setup requires self-discipline and effective home office space.

• Collaboration will primarily occur through digital tools, necessitating strong virtual communication skills.

• Access to company-provided stipends for home office setup supports a productive remote work environment.

• Opportunities for connection and collaboration will be digital, with potential for in-person interaction during company retreats.

Work Schedule: Standard full-time hours are expected, but the remote nature likely offers flexibility in how those hours are managed, as long as work is completed and collaboration with global teams is facilitated.

📝 Enhancement Note: The "fully remote" status is a critical aspect, implying a need for strong self-management, proactive communication, and comfort with digital collaboration tools. The location "Austria" may indicate a primary region of operation or a legal/tax requirement for employees in that country, even within a remote framework.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely involves an AI-powered review by Jobgether, followed by a recruiter or hiring manager screen to assess basic qualifications and cultural fit.

• Portfolio Review: A deep dive into your portfolio with the hiring team, focusing on specific case studies related to AI, complex systems, and your design process. Be prepared to articulate your contributions and strategic thinking.

• Design Challenge/Exercise: May involve a take-home assignment or a live design exercise focused on an AI-related problem, assessing your problem-solving skills, design approach, and ability to work under constraints.

• Team & Stakeholder Interviews: Meetings with engineering leads, product managers, and potentially other designers to assess collaboration style, technical understanding, and alignment with company values.

• Final Round: Discussion with senior leadership to confirm strategic alignment and fit for the lead role.

Portfolio Review Tips:

• Highlight AI Impact: Clearly articulate the AI capabilities you designed for and the user problems they solved. Quantify impact where possible (e.g., improved efficiency, user satisfaction).

• Showcase Process for Ambiguity: Present case studies where you navigated uncertainty, defined requirements, and iterated effectively in complex or novel areas.

• Demonstrate Tool Proficiency: Explicitly mention and show examples of your work in Figma and any AI-assisted prototyping tools you've used.

• Emphasize Collaboration: Detail how you worked with engineering and product teams, especially in a remote setting.

• Focus on Trust & Transparency: If applicable, showcase designs that specifically address user trust, explainability, and control in AI systems.

Challenge Preparation:

• Research current trends in AI-UX, conversational design, and workflow automation.

• Practice articulating your design process concisely, especially how you handle ambiguity and evolving requirements.

• Prepare to discuss how you would approach designing for user trust and transparency in AI.

• Be ready to present your portfolio and case studies effectively, focusing on strategic rationale and outcomes.

📝 Enhancement Note: The application process emphasizes the portfolio and practical application of AI design skills. Candidates should prepare to not only show their work but also to explain the "why" and "how" behind their design decisions, particularly concerning AI's unique challenges. The AI-powered screening by Jobgether means keywords and clear demonstration of AI experience are crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for high-fidelity design, collaborative workflows, and potentially component library management.

• AI-Assisted Prototyping Tools: Explicitly mentioned are v0, Lovable, Cursor + Claude Code, or similar. Proficiency or willingness to learn these is key.

• Prototyping Tools: Beyond AI-specific tools, standard tools like InVision, Principle, or Figma's built-in prototyping may be used for interactive mockups.

Analytics & Reporting:

CRM & Automation:

• Not directly relevant to the designer's daily tools, but understanding how AI-powered features integrate into broader CRM or workflow automation platforms could be beneficial.

📝 Enhancement Note: The core technical requirement is high proficiency in Figma. The pronounced emphasis on AI-assisted prototyping tools is a distinguishing factor, indicating the company's commitment to leveraging AI within the design process itself.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to explore and implement cutting-edge AI technologies in product design.

• Autonomy & Ownership: Expectation for individuals to take initiative, manage their work independently, and own their design outcomes.

• Collaboration: Strong emphasis on working effectively with cross-functional teams (Engineering, Product, ML), particularly in a remote setting.

• User-Centricity: Deep focus on understanding user needs and translating them into intuitive, trustworthy AI experiences.

• Transparency & Trust: A core value in how AI products are designed and how the team operates.

Collaboration Style:

• Primarily asynchronous communication (Slack, email, project management tools).

• Emphasis on clear, concise written communication and well-documented design decisions.

• Regular virtual syncs and collaborative design sessions via tools like Figma.

• Openness to feedback and iterative design processes.

📝 Enhancement Note: The culture values proactive, independent individuals who can collaborate effectively in a distributed environment. The inherent nature of AI design also implies a culture that is comfortable with experimentation, learning, and addressing complex ethical considerations like trust and transparency.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI involves inherent ambiguity; defining clear problem statements and user needs for non-deterministic systems can be challenging.

• Ensuring user trust and transparency in AI interactions requires innovative design solutions beyond traditional UI patterns.

• Balancing rapid iteration with the need for robust, scalable design systems for AI features.

• Maintaining strong cross-functional alignment and clear communication in a fully remote, global team.

Learning & Development Opportunities:

• Deep specialization in the high-demand field of Applied AI Product Design.

• Opportunities to shape the ethical considerations and user trust frameworks for AI products.

• Mentorship from experienced leaders in product and AI development.

• Potential to influence the strategic direction of AI product development within the company.

• Access to learning stipends for courses, conferences, and certifications related to AI, UX, and design leadership.

📝 Enhancement Note: The role presents significant challenges in a groundbreaking field, offering commensurate growth opportunities for designers eager to pioneer AI-UX. The "challenges" are framed as opportunities for learning and skill development.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a user interface for an AI agent that needs to explain its reasoning to a non-technical user?" (Focus on transparency, clarity, and user control).

• "Describe a time you had to design for significant ambiguity or a rapidly evolving technical landscape. What was your process?" (Focus on problem definition, iteration, and adaptability).

• "How do you ensure user trust and mitigate potential misuse or misunderstanding when designing AI-powered features?" (Focus on ethical design, safety, and user empowerment).

Company & Culture Questions:

• "What interests you about designing for Applied AI, and how do you see AI influencing the future of product design?" (Assess passion and forward-thinking).

• "How do you approach asynchronous communication and collaboration in a remote-first environment?" (Assess remote work skills).

• "Describe your experience using AI tools in your own design workflow. What value do they bring?" (Assess practical AI adoption).

Portfolio Presentation Strategy:

• Structure: Organize your presentation around 2-3 key case studies that best showcase your AI design experience, problem-solving skills, and Figma proficiency.

• Narrative: For each case study, clearly articulate the problem, your role and process, the challenges faced (especially AI-specific ones), your design solutions, and the outcomes.

• Visuals: Use high-fidelity mockups, interactive prototypes (if possible), and clear diagrams to illustrate your work.

• Tool Emphasis: Explicitly mention and demonstrate your use of Figma and any AI-assisted prototyping tools.

• Impact: Quantify results where possible. If direct metrics aren't available, discuss qualitative feedback or the intended impact of your designs.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of AI-UX challenges, practical experience with relevant tools, and strong remote collaboration skills. The portfolio presentation is a critical component for demonstrating these capabilities.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Lever application link.

• Portfolio Customization: Ensure your portfolio prominently features projects related to AI, complex systems, and workflow automation. Tailor your case studies to highlight your design process, problem-solving skills, and outcomes, specifically addressing challenges like user trust and transparency.

• Resume Optimization: Update your resume to include keywords like "Applied AI," "Intelligent Agents," "Copilots," "Workflow Automation," "Figma," "Prototyping," and "User Trust." Quantify achievements with specific numbers or clear impact statements.

• Interview Preparation: Practice articulating your design process for AI products, your experience with AI tools, and your approach to remote collaboration. Prepare to walk through your portfolio with confidence and answer strategy-based questions.

• Company Research: While the partner company isn't directly named, research Jobgether's mission and values, and understand the general landscape of AI-powered collaboration tools to demonstrate informed interest.

⚠️ 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.