AI-Native Product Design Lead (UX/UI)

📍 Job Overview

Job Title: AI-Native Product Design Lead (UX/UI)

Company: Swarmer

Location: Kyiv, Ukraine

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: September 02, 2026

Experience Level: 5+ Years

Remote Status: Remote (with specific country requirement for Ukraine)

🚀 Role Summary

• Lead the end-to-end product design for AI-native autonomous drone command-and-control software, focusing on mission planning, simulation, and execution interfaces.

• Define and evolve complex workflows, interaction models, and interface states for high-stakes decision-making environments.

• Drive the establishment and continuous improvement of Swarmer's design system, UX standards, and AI-assisted product design practices.

• Collaborate closely with engineering, autonomy, and field teams to translate technical capabilities and operational constraints into intuitive user experiences.

• Utilize and champion generative AI tools to accelerate research, ideation, prototyping, and implementation of product interfaces.

📝 Enhancement Note: This role is positioned as a foundational design leadership position within a rapidly scaling defense tech startup. The emphasis on "AI-Native" and "battle-tested" technology, coupled with the explicit mention of Ukraine as a proving ground, indicates a need for designers comfortable with high-impact, mission-critical applications and potentially austere operating conditions. The role requires a hands-on leader who can both strategize and execute, setting design direction and standards from the ground up.

📈 Primary Responsibilities

• Own the complete product experience for autonomous drone command-and-control systems, encompassing mission planning, simulation, real-time monitoring, and post-mission analysis.

• Translate intricate operational requirements and technical specifications into clear information architecture, efficient workflows, intuitive interaction models, and robust interface states.

• Develop conceptual sketches, user flows, wireframes, high-fidelity mockups, and functional prototypes, leveraging tools from Figma to AI-assisted coding environments, with a focus on delivering working prototypes over static specifications.

• Apply advanced usability principles to high-stakes, mission-critical workflows, specifically addressing error prevention, situational awareness enhancement, cognitive load management, effective alerting mechanisms, degraded connectivity handling, robust recovery procedures, and seamless operator control over autonomous behaviors.

• Lead and execute user research initiatives with operators, customers, and internal field teams, synthesizing qualitative feedback and quantitative product data into actionable design decisions, and creating artifacts like personas, journey maps, and workflow models strategically to inform team decision-making.

• Define, maintain, and continuously enhance scalable design patterns, comprehensive UX standards, reusable component libraries, and streamlined design-review processes to ensure consistency and efficiency across the product suite.

• Actively integrate generative AI tools (e.g., Claude Code, Cursor, Codex) to expedite research synthesis, ideation, prototyping, implementation, documentation, and evaluation, while also guiding the broader team in effective prompting and output evaluation techniques.

• Proactively identify and explore opportunities where generative AI can significantly enhance the product itself, streamline internal workflows, or improve the overall customer experience, transforming promising ideas into testable concepts.

• Foster close, collaborative relationships with product management, engineering, autonomy specialists, integration teams, QA, and field operations personnel, ensuring the seamless incorporation of technology stack capabilities and constraints from the earliest stages of design.

• Strategically balance the urgent needs of field operations, demonstrations, and immediate customer requirements against the imperative for long-term platform consistency, ensuring that short-term solutions do not compromise the integrity or fragmentation of the core product architecture.

• Facilitate productive brainstorming sessions, present design work effectively in cross-team reviews, articulate the strategic rationale behind design choices, and drive consensus-based decisions to successful closure.

• Rigorously validate the quality of implemented interfaces with the engineering team, ensuring that shipped products faithfully preserve the intended behavior, hierarchical structure, and overall usability of the design.

📝 Enhancement Note: The responsibilities highlight a dual focus: direct product design ownership and the establishment of the design function itself. The emphasis on "AI-assisted development tools" and "generative AI" suggests that the ideal candidate will not only be a skilled designer but also an early adopter and evangelist for AI in the design and development process. The responsibility to "balance immediate field, demo, and customer needs against long-term platform consistency" points to a need for pragmatic decision-making and strategic foresight in a fast-paced, often reactive environment.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is often preferred for roles of this seniority. Equivalent practical experience and a strong portfolio can substitute for formal education.

Experience: 5+ years of dedicated experience in product design, UX design, interaction design, or design engineering, with a proven track record of successfully owning and delivering complex digital products through multiple full lifecycle iterations.

Required Skills:

• Comprehensive portfolio showcasing end-to-end product or platform design cycles, from initial discovery and problem definition through to prototyping, validation, implementation, and post-release iteration.

• Demonstrated expertise in designing complex workflows and state-heavy interfaces designed for consequential decision-making, moving beyond consumer-grade experiences to operational systems.

• Proficient in systems and components thinking, with substantial experience defining, maintaining, and evolving design systems, UX standards, and scalable design processes that promote reusable patterns.

• Strong theoretical and practical knowledge of usability principles, advanced interaction design techniques, robust information architecture, and diverse user research methodologies.

• Ability to articulate precise design requirements, including detailed specifications for behavior, states, constraints, and acceptance criteria, suitable for both AI development tools and human engineers.

• Hands-on experience utilizing AI-assisted development tools such as Claude Code, Cursor, Codex, or similar platforms for the direct construction of functional interfaces, not merely conceptual generation.

• Critical evaluation skills to assess AI-generated work for correctness, usability, consistency, edge case handling, and the detection of unintended behaviors.

• Excellent written and verbal communication proficiency in both English and Ukrainian.

• Readiness and ability to work with sensitive defense-related information while adhering to stringent operational-security (OPSEC) practices, including discerning appropriate use of AI tools within defined boundaries. Preferred Skills:

• Background in design engineering or hands-on frontend development.

• Familiarity with prompt-engineering techniques specifically tailored for design, prototyping, and evaluation workflows.

• A portfolio that prominently features AI-built prototypes, code-based design explorations, or successfully shipped AI-assisted products.

• Experience designing command-and-control systems, Geographic Information Systems (GIS), simulation software, industrial control systems, robotics interfaces, aviation systems, automotive interfaces, or other real-time operational systems.

• Prior experience in defense technology, autonomous systems, drones/UAVs, or products that integrate software with hardware components.

• Experience conducting user research with expert users who operate under significant time pressure or within safety-critical environments.

• Familiarity with strategy games (as a player or designer) and an understanding of how complex systems, resource management, spatial information, and dynamic states can be effectively communicated to users.

• Experience in a startup environment or a fast-scaling product company, particularly in roles where you were instrumental in establishing the design function, its standards, or team practices.

📝 Enhancement Note: The qualifications emphasize practical, hands-on experience with complex systems and AI tools, rather than solely theoretical knowledge. The distinction between "consumer journeys" and "consequential decisions" is critical for candidates to understand. The requirement for both English and Ukrainian proficiency highlights the company's operational context. The preference for defense tech or related fields underscores the specialized nature of the role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase multiple end-to-end product or platform design cycles, demonstrating a comprehensive understanding of the entire product development lifecycle from discovery to post-launch iteration.

• Feature examples of designing complex workflows and state-heavy interfaces where consequential decisions are made, emphasizing the ability to handle intricate operational logic and dynamic system states.

• Include evidence of defining, maintaining, and evolving design systems, component libraries, and scalable design processes that promote reusability and consistency.

• Present case studies that detail the application of usability principles, interaction design techniques, and information architecture to solve real-world problems in high-stakes environments.

• Demonstrate how user research was conducted, synthesized, and translated into actionable design decisions, with artifacts like personas, journey maps, or workflow models presented if they served a clear purpose. Process Documentation:

• Illustrate your process for translating complex operational and technical requirements into structured information architecture, clear workflows, and intuitive interaction models.

• Detail your approach to creating and iterating on prototypes, including the use of AI-assisted development tools and the methodology for turning concepts into working interfaces.

• Show how you define, maintain, and evolve design patterns, UX standards, and component libraries to ensure scalability and platform consistency.

• Provide examples of how you apply usability principles to mitigate risks in high-stakes workflows, such as error prevention, enhancing situational awareness, and managing cognitive load.

• Present your user research process, including synthesis of qualitative and quantitative data, and how this feedback informed design decisions.

📝 Enhancement Note: The portfolio requirements are highly specific, demanding more than just visual design. Candidates must demonstrate a deep understanding of process, the ability to handle complexity, and practical experience with AI tools. The emphasis on "working interfaces" and "AI-assisted development" suggests a preference for candidates who can bridge the gap between design and implementation.

💵 Compensation & Benefits

Salary Range: Given the location (Kyiv, Ukraine), the experience level (5+ years), and the specialized nature of AI-Native Product Design in the defense tech sector, a competitive salary range would be estimated between $50,000 - $80,000 USD annually. This estimate is based on industry benchmarks for senior design roles in Eastern Europe, adjusted for the unique demands of defense technology and AI expertise, as well as the company's recent NASDAQ listing which suggests financial stability and a competitive compensation strategy.

Benefits:

• Comprehensive insurance package.

• Paid sick leave.

• Generous paid time off: 20 days per year.

• Specific benefits associated with the defense sector (e.g., potential for reservist support or related considerations).

• Flexible remote-work options, allowing for work-from-home arrangements within Ukraine.

Working Hours: Standard full-time working hours are expected, typically around 40 hours per week. While remote work is an option, a degree of flexibility may be available, but operational needs and cross-functional collaboration with teams in different time zones might necessitate adjusted schedules at times.

📝 Enhancement Note: The salary range is an estimation considering factors like location, experience, and the specialized nature of the role. The benefits listed are directly from the job description, with added context about remote work flexibility. The mention of "Defense sector benefits" is noted as specific and potentially unique.

🎯 Team & Company Context

🏢 Company Culture

Industry: Defense Technology / Autonomous Systems / AI Software. Swarmer operates at the forefront of modern defense technology, developing autonomous drone coordination software. The company's recent public offering on NASDAQ signifies a strong growth trajectory and ambition within a highly competitive and critical industry. The intersection of AI, robotics, and defense presents unique challenges and opportunities, requiring innovation, rigor, and a deep understanding of operational realities.

Company Size: Post-Series A funding and IPO, Swarmer is likely in a significant growth phase. While specific numbers aren't provided, the transition to a public company suggests an organization moving from a startup phase to a more established, albeit still agile, corporate structure. This typically means a team size that is growing rapidly, with established processes but still retaining a culture of innovation and direct impact.

Founded: The company's founding date is not explicitly stated, but its public listing in March 2026 and its battle-tested history in Ukraine indicate a significant operational track record, likely established in the early years of the intensified conflict. This history imbues the company with a sense of purpose and real-world application.

Team Structure:

• The design team is currently a solo function, with the Lead Designer being the sole member. This implies a high degree of autonomy and the opportunity to shape the design function.

• Collaboration will be extensive across Product Management, Engineering (including specialized AI and Autonomy teams), Integration, QA, and Field Operations.

• The reporting structure is likely to be within a Product or Engineering leadership hierarchy, potentially reporting to a Head of Product or CTO, given the technical nature of the product. Methodology:

• Data Analysis & Insights: Emphasis on using qualitative user feedback and quantitative product data to drive design decisions, rather than working in a vacuum.

• Workflow Planning & Optimization: A core responsibility is to understand and improve complex operational workflows for mission planning, simulation, and execution.

• Automation & Efficiency: The role explicitly requires leveraging AI to enhance product features and internal design/development workflows, driving efficiency.

Company Website: https://swarmer.com/

📝 Enhancement Note: The company's context is crucial: a Ukrainian defense tech startup that has successfully gone public on NASDAQ. This implies a mission-driven culture, high stakes, and a need for resilience and innovation. The "battle-tested" nature of their software means practical, real-world constraints heavily influence product design. The "AI-Native" aspect suggests a forward-thinking approach to technology integration.

📈 Career & Growth Analysis

Operations Career Level: This role is a senior-level individual contributor and foundational leadership position. As the "AI-Native Product Design Lead," you are the primary design authority and the architect of the design function within Swarmer. This means you'll be responsible for setting the strategic direction, establishing standards, and building the design system and processes from the ground up. It's a "lead" role in the sense of establishing and owning the function, not necessarily managing a large team initially.

Reporting Structure: You will likely report to a senior leader within the product or engineering organization, such as the Head of Product, VP of Engineering, or CTO. This close proximity to leadership facilitates direct impact and influence on product strategy.

Operations Impact: The impact of this role is direct and significant. You will be designing the user interfaces that enable complex autonomous drone missions. Errors in design can lead to mission failure, so your work directly influences the effectiveness and safety of critical operations. Your designs will be instrumental in how users interact with and control sophisticated AI systems, shaping the company's technological edge.

Growth Opportunities:

• Design Function Leadership: As the company scales, you will have the opportunity to build and lead a design team, defining its structure, hiring practices, and culture.

• Strategic Product Influence: Your role in shaping the core product experience will give you significant influence over the company's strategic roadmap and technological direction, particularly in the integration of AI.

• Specialized Skill Development: Deepen expertise in AI-assisted design, human-autonomy interaction, complex systems design, and defense technology.

• Industry Expertise: Gain unparalleled experience in the high-stakes defense tech sector and the application of AI in critical infrastructure.

• Startup to Scale-Up Experience: Contribute to the growth of a public company, gaining valuable experience in scaling operations, processes, and teams in a dynamic environment.

📝 Enhancement Note: The growth analysis emphasizes the unique opportunity to build a design function within a rapidly growing, public defense tech company. The role offers significant strategic influence and the chance to develop niche expertise in AI and autonomous systems design.

🌐 Work Environment

Office Type: While the role is primarily remote, the company has a headquarters in Kyiv, Ukraine. This suggests that while remote work is supported, there might be opportunities for in-person collaboration or occasional team meetups, particularly for critical strategy sessions or team building. The company's operational roots in Ukraine mean that the work environment is deeply informed by real-world, often challenging, conditions.

Office Location(s): The primary operational hub and headquarters are in Kyiv, Ukraine. Remote work is permitted for candidates located within Ukraine.

Workspace Context:

• Collaborative Environment: Expect a highly collaborative setting, working closely with product managers, engineers, autonomy specialists, and field operators. The emphasis is on cross-functional synergy to solve complex problems.

• Operations Tools & Technology: Access to cutting-edge AI-assisted development tools (Claude Code, Cursor, Codex) and standard design software (Figma) will be integral to the workflow. The environment encourages experimentation with new technologies.

• Team Interaction: While remote, effective communication and interaction with the team will be paramount. This will likely involve frequent video calls, asynchronous communication tools, and structured design reviews. The culture values clarity, evidence, and execution over bureaucracy.

Work Schedule: A standard full-time schedule (approx. 40 hours/week) is expected. Given the nature of defense technology and the potential for real-time operations, some flexibility may be required to accommodate urgent needs, critical deployments, or international collaboration. The company emphasizes a high-ownership culture, suggesting that initiative and effective time management are key.

📝 Enhancement Note: The work environment is characterized by a blend of remote flexibility and the rigorous demands of defense technology. The emphasis on "high-ownership culture" and "initiative" suggests that self-direction and proactive engagement are highly valued. The connection to real-world operations in Ukraine likely shapes the company's approach to work and problem-solving.

📄 Application & Portfolio Review Process

Interview Process:

• Recruiter Screen: Initial assessment of your background, experience, and fit with the role and company culture. Be prepared to discuss your motivations for joining a defense tech company and your interest in AI-native product design.

• Interview with a Team: This stage likely involves meeting with cross-functional team members (e.g., Product Managers, Engineers) to assess collaboration style, technical understanding, and problem-solving approach.

• Technical Interview with Craft Session: A more in-depth technical evaluation, potentially including a hands-on design exercise or a deep dive into your portfolio's technical aspects. This is where you might demonstrate your proficiency with AI tools or complex system design.

• Final Interview with CPTO: A conversation with the Chief Product and Technology Officer to discuss strategic vision, leadership potential, and overall alignment with the company's mission and goals.

• Security Check: Given the defense sector, a thorough security vetting process is expected.

• Offer Call: Final discussion and extension of the employment offer.

Portfolio Review Tips:

• Focus on Impact: Showcase how your designs solved specific problems, improved user performance, or achieved measurable outcomes. Quantify results whenever possible.

• Demonstrate Process: Clearly articulate your design process, including user research, ideation, prototyping, validation, and iteration. Highlight how you used AI tools throughout.

• Showcase Complexity: Prioritize projects involving complex workflows, state-heavy interfaces, and high-stakes decision-making environments. Explain the challenges and your solutions.

• AI Integration: Explicitly detail your use of AI tools (Claude Code, Cursor, Codex) in your projects. Show prototypes or implementations built with these tools, explaining the benefits and limitations encountered.

• Design System Examples: If applicable, include examples of design systems, component libraries, or scalable design patterns you've developed or contributed to.

• Conciseness and Clarity: Present your work in a clear, organized, and concise manner. Use visuals effectively and tell a compelling story for each case study.

Challenge Preparation:

• AI Tool Proficiency: Be ready to discuss your experience with AI-assisted development tools and how you leverage them for efficiency and innovation. Practice generating and evaluating AI outputs for design tasks.

• Complex System Design: Prepare to discuss how you approach designing for complex, real-time operational systems, considering factors like situational awareness, cognitive load, and error prevention.

• User Research & Synthesis: Be ready to walk through your user research process, particularly with expert users, and how you synthesize findings into actionable design insights.

• Scenario-Based Questions: Anticipate questions about how you would handle specific design challenges in a defense tech context, such as designing for degraded connectivity or operator fatigue.

• Strategic Thinking: Be prepared to discuss your vision for establishing and scaling a design function within a high-growth startup and how AI can be integrated into core design practices.

📝 Enhancement Note: The interview process is robust, with a strong emphasis on technical skills, practical application, and security. The portfolio review section provides actionable advice for candidates to highlight their most relevant experiences, particularly concerning AI tools and complex system design.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for wireframing, mockups, prototyping, and design system management. Proficiency is essential for creating visual designs and interactive prototypes.

• AI-Assisted Development Tools: Hands-on experience with tools like Claude Code, Cursor, Codex, or similar AI coding assistants is a significant requirement. This includes using them for generating code snippets, building functional interfaces, and potentially assisting with documentation.

• Prototyping Tools: Beyond Figma, experience with other prototyping tools that allow for realistic simulation of complex interactions and states would be beneficial.

Analytics & Reporting:

• While not explicitly listed as a primary responsibility for this design role, understanding how to interpret and utilize product analytics, user research data, and performance metrics to inform design decisions is crucial. Experience with tools that provide insights into user behavior within complex interfaces would be an advantage. CRM & Automation:

• Not directly specified for this design role, but an understanding of how design integrates with broader product and development workflows, which may involve CRM or automation platforms, could be helpful for context. The focus is heavily on design and development tools.

📝 Enhancement Note: The technology stack heavily emphasizes AI integration. Figma is the standard design tool, but the requirement for hands-on experience with AI coding assistants like Claude Code, Cursor, and Codex is a defining characteristic of this role, indicating a future-forward approach to product development.

👥 Team Culture & Values

Operations Values:

• Engineering Rigor & Frontline Reality: A core value is bridging the gap between sophisticated engineering and the harsh realities of operational environments. Designs must be robust, reliable, and effective under pressure.

• Purpose-Driven Impact: The work is framed around enabling democratic nations to defend themselves, providing a strong sense of purpose and mission. Operations professionals are expected to be motivated by building resilient systems that matter.

• High Ownership & Initiative: The culture values individuals who take initiative, demonstrate clarity in their work, support decisions with evidence, and focus on execution. Bureaucracy is de-emphasized.

• Efficiency & AI Integration: There's a clear emphasis on leveraging AI to improve both the product itself and internal workflows, driving efficiency and innovation.

• Data-Driven Decision Making: Design choices should be informed by evidence from user research and product data.

Collaboration Style:

• Cross-Functional Integration: Expect seamless collaboration with engineering, product, autonomy, and field teams. The design function is integrated into the broader product development lifecycle.

• Process Review & Feedback: A culture that encourages constructive feedback through design reviews and open dialogue to refine processes and product quality.

• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings, particularly around AI adoption and application in design and development.

📝 Enhancement Note: The company culture is defined by its mission-driven nature in defense tech, a strong emphasis on practical application ("frontline reality"), and a proactive, AI-forward approach. The "high ownership" aspect means individuals are empowered but also accountable for driving results.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for High-Stakes Environments: The primary challenge is creating interfaces for mission-critical applications where usability errors can have severe consequences. This requires meticulous attention to detail, robust error handling, and exceptional situational awareness design.

• Balancing Immediate Needs with Long-Term Vision: The dynamic nature of defense operations and customer feedback means constantly juggling urgent requests with the need to maintain platform consistency and architectural integrity.

• Integrating AI Effectively and Securely: Leveraging generative AI for design and development presents challenges in ensuring output quality, consistency, and adhering to strict operational security (OPSEC) protocols, especially with sensitive defense data.

• Establishing a Design Function: As the first designer, building out processes, standards, and a design system from scratch requires strong leadership, strategic planning, and the ability to influence without direct authority initially.

Learning & Development Opportunities:

• AI Design & Development Specialization: Deepen expertise in prompt engineering for design, AI-assisted prototyping, and evaluating AI-generated code and designs.

• Human-Autonomy Interaction: Become a leader in designing interfaces for complex human-robot/drone collaboration, a rapidly evolving field.

• Defense Technology Domain Knowledge: Gain in-depth understanding of drone warfare, autonomous systems, and the operational context of defense technology.

• Scaling Design Operations: Contribute to and potentially lead the growth of the design team and function as the company scales post-IPO.

• Leadership Development: Develop leadership skills in establishing design strategy, setting standards, and mentoring future designers.

📝 Enhancement Note: The challenges are directly tied to the high-stakes nature of the industry and the cutting-edge technology. Growth opportunities focus on specialization in AI and human-autonomy interaction, alongside leadership development in a scaling tech company.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to designing for mission-critical systems where user error has severe consequences. How do you ensure situational awareness and cognitive load management?" (Preparation: Focus on case studies involving complex operational systems, user research methods for expert users, and design patterns for error prevention and status visualization.)

• "How would you establish and scale a design system and UX standards from scratch within a fast-growing defense tech startup, particularly with an AI-native approach?" (Preparation: Outline a phased approach, emphasizing collaboration with engineering, iterative development, and the role of AI in accelerating design system creation.)

• "Walk us through a project where you used generative AI or AI-assisted development tools to significantly improve a product feature or a design workflow. What were the challenges and how did you overcome them?" (Preparation: Prepare a detailed case study highlighting your hands-on experience with tools like Claude Code or Cursor, focusing on the AI's contribution to efficiency, ideation, or implementation, and your critical evaluation of its output.) Company & Culture Questions:

• "Why are you interested in working in the defense technology sector, and specifically with Swarmer's mission of autonomous drone coordination?" (Preparation: Research Swarmer's mission, recent NASDAQ listing, and the broader impact of autonomous systems in defense. Align your personal values with the company's purpose.)

• "How do you see the role of AI evolving in product design, and how do you ensure ethical and secure use of AI in a defense context?" (Preparation: Discuss your perspective on AI's potential, acknowledge the risks (e.g., OPSEC), and articulate your strategy for responsible AI integration.)

• "Describe your ideal collaborative relationship with engineering, product management, and field operations teams." (Preparation: Emphasize a partnership approach, focus on clear communication, iterative feedback loops, and shared ownership of product success.) Portfolio Presentation Strategy:

• AI-Driven Case Study: Select at least one project where AI played a significant role. Clearly demonstrate the AI's contribution, the specific tools used, and the tangible outcomes or efficiencies gained. Show your critical evaluation process for AI outputs.

• Complexity Showcase: Highlight projects that involved complex workflows, state management, and consequential decision-making. Use interactive prototypes to illustrate these complexities.

• Process & Rationale: For each project, articulate the problem, your process, the key design decisions (and the rationale behind them), and the final outcome. Explain how user research informed your choices.

• Design System Examples: If you have experience building or contributing to design systems, dedicate a section to showcase its components, patterns, and scalability. Explain how it supports AI-native development.

• Concise Storytelling: Aim for clarity and impact. Be prepared to present your portfolio within a specific timeframe, focusing on the most relevant and compelling aspects of your work.

📝 Enhancement Note: The interview preparation focuses on demonstrating expertise in AI tools, handling complex system design, and understanding the unique context of defense technology. The portfolio presentation strategy emphasizes showcasing AI integration and complex problem-solving.

📌 Application Steps

To apply for this AI-Native Product Design Lead position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to prominently feature projects involving complex workflows, AI-assisted design/development, and high-stakes decision-making environments. Ensure your AI tool usage is clearly articulated.

• Resume Optimization: Update your resume to highlight 5+ years of experience in product/UX/interaction design, emphasizing ownership of end-to-end product cycles and specific achievements in areas like design systems, AI integration, and complex interface design. Use keywords from the job description.

• Interview Preparation: Thoroughly review the "Interview Preparation" section above. Practice articulating your design process, AI experience, and strategic thinking, especially concerning defense technology and autonomous systems. Prepare specific examples for behavioral and technical questions.

• Company Research: Deeply research Swarmer's mission, recent IPO, technology, and any public statements regarding their approach to AI and defense. Understand their market position and operational context.

⚠️ 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.