Product Designer

📍 Job Overview

Job Title: Product Designer Company: hyperexponential Location: Warsaw, Mazowieckie, Poland Job Type: Full-Time Category: Product Design / GTM Operations Date Posted: 2026-01-16 Experience Level: Mid-Level (2-5 years) Remote Status: Hybrid (2 days in office)

🚀 Role Summary

• Drive the end-to-end product design process for intuitive and accessible user experiences on the hyperexponential platform, with a particular focus on building a model developer experience from the ground up.
• Collaborate intimately with Product Managers, Engineers, and Researchers to support all phases of the product development lifecycle, from strategic discovery and ideation to tactical delivery and iteration.
• Contribute significantly to the evolution and expansion of the company's design language system, "Xpression," by creating new components and patterns, ensuring brand consistency and elevating overall product quality.
• Champion a high standard of design craft through meticulous interaction design, visual clarity, and a data-informed approach to iterative improvement, leveraging user feedback and analytics.
• Actively integrate and experiment with AI tools within the design workflow to accelerate research synthesis, exploration, and prototyping, enhancing team velocity without compromising design excellence.
• Facilitate AI-native discovery and collaboration by applying structured design thinking principles to cross-functional initiatives, fostering innovative solutions.

📝 Enhancement Note: While the role is titled "Product Designer," its emphasis on "model developer experience," "AI-native discovery," and "platform evolution" positions it within or closely aligned with GTM Operations and Product Operations. The need to translate complex technical concepts into usable solutions and collaborate across product, engineering, and research suggests a strong operational component in ensuring smooth product adoption and user enablement within a technical domain.

📈 Primary Responsibilities

• Translate complex insurance and AI-driven concepts into clear, intuitive, and accessible product experiences across the hyperexponential platform, with a strategic focus on developing a novel model developer experience (0 to 1).
• Partner closely with Product Management to deeply understand user needs, market opportunities, and business objectives, translating these into actionable design strategies and solutions.
• Collaborate hand-in-hand with Engineering teams throughout the development lifecycle, ensuring designs are technically feasible, implemented with high fidelity, and meet quality standards.
• Work alongside User Researchers to conduct user interviews, usability testing, and data analysis, synthesizing findings to inform design decisions and validate product direction.
• Actively contribute to and help maintain the "Xpression" design language system by developing new components, patterns, and guidelines, ensuring consistency, scalability, and maintainability across the product suite.
• Champion design excellence by advocating for best practices in usability, accessibility, interaction design, and visual clarity, continuously seeking opportunities for iteration and improvement based on feedback and performance data.
• Leverage AI-powered design tools for tasks such as research synthesis, concept exploration, and rapid prototyping, enhancing personal and team efficiency and output quality.
• Employ structured design thinking methodologies to foster cross-functional alignment and drive AI-native discovery, ensuring a cohesive and innovative approach to product development.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design thinking and tactical execution, common in mid-level to senior product design roles. The explicit mention of "evolving our model developer experience from 0 → 1" indicates a significant foundational effort, requiring strong problem-solving and strategic foresight. The emphasis on AI tools and "AI-native discovery" suggests the company is at the forefront of integrating AI into its product development processes, a key differentiator for operations-minded candidates.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.
• A strong understanding of design principles, user-centered design methodologies, and the product development process.

Experience:

• 2-5 years of professional experience in product design, UX/UI design, or a similar role, with a proven track record of shipping successful digital products.
• Demonstrated experience in designing end-to-end product experiences that are grounded in user needs and deliver tangible business value.
• Hands-on experience working within and contributing to design systems, including the creation and refinement of components and patterns.
• Proven ability to collaborate effectively with cross-functional product teams, including Product Managers, Engineers, and Researchers.

Required Skills:

• Product Design: Expertise in designing intuitive and accessible user experiences for complex software platforms.
• User Experience (UX) Design: Deep understanding of user-centered design principles, journey mapping, wireframing, and prototyping.
• Design Systems: Experience contributing to, or working within, established design language systems, ensuring consistency and scalability.
• Collaboration: Proven ability to partner effectively with Product Managers, Engineers, and Researchers in a cross-functional setting.
• Interaction Design: Skill in crafting smooth, efficient, and engaging user interactions.
• Visual Clarity: A keen eye for visual design, ensuring interfaces are clean, aesthetically pleasing, and easy to understand.
• AI Tools Proficiency: Demonstrable experience using AI-enabled tools within a design workflow to enhance research, exploration, and prototyping.
• Communication & Critique: Clear articulation of design decisions and comfort participating in constructive critique and feedback sessions.

Preferred Skills:

• Accessibility Standards: Knowledge of WCAG guidelines and best practices for designing inclusive products.
• Usability Testing: Experience conducting and analyzing usability tests to gather user feedback.
• Prototyping Tools: Proficiency with advanced prototyping tools (e.g., Figma, Sketch, Adobe XD, InVision).
• Research Synthesis: Ability to synthesize qualitative and quantitative data from research into actionable design insights.
• Systems Thinking: Capacity to understand and design for complex interconnected systems and workflows.
• Insurance/Fintech Domain Knowledge: Familiarity with the insurance or financial technology industry is a plus.

📝 Enhancement Note: The required skills are standard for a Product Designer role. However, the explicit emphasis on "AI Tools Proficiency" and "Systems Thinking" aligns with the company's tech focus and the operational complexity of its platform, suggesting that candidates who can articulate how they've used AI to improve design processes or how they approach designing for complex systems will be highly valued.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 comprehensive case studies detailing your process from problem definition to final solution, highlighting your role and impact.
• Problem-Solving Focus: Clearly articulate the user and business problems you addressed, the constraints you worked within, and the rationale behind your design decisions.
• Process & Methodology: Illustrate your design process, including user research, ideation, wireframing, prototyping, testing, and iteration.
• System Contribution: If applicable, include examples of your work with design systems, showcasing contributions to components, patterns, or style guides.
• Visual & Interaction Design: Demonstrate strong visual design skills and thoughtful interaction design through high-fidelity mockups and interactive prototypes.
• AI Integration Examples: Highlight instances where you've leveraged AI tools in your workflow, explaining the tools used and the benefits achieved (e.g., faster research, better ideation).

Process Documentation:

• Demonstrate how you document your design process, from initial research findings and user flows to wireframes and final design specifications.
• Provide examples of how you've used design documentation to facilitate collaboration and ensure clarity with engineering and product teams.
• Showcase how you gather and incorporate feedback into your design documentation and process.

📝 Enhancement Note: For a role emphasizing AI and complex systems, the portfolio should not only showcase visual design but also the candidate's ability to think strategically, document complex processes, and integrate new technologies like AI into their workflow. Demonstrating how they've translated complex requirements into user-friendly designs, especially for technical audiences (model developers), will be critical.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for a mid-level Product Designer in Warsaw, Poland, with 2-5 years of experience, and considering the company's Series B funding status and tech focus, a competitive gross annual salary range is estimated to be between 120,000 - 180,000 PLN. This range accounts for the hybrid work model and the specialized nature of the role.

Benefits:

• Share Options: Opportunity to receive share options in a successful Series B company, aligning employee success with company growth.

• Learning & Development Budget: A generous £5,000 GBP budget for professional development, including courses, conferences, books, and certifications relevant to design and AI.

• Mental Health Support: Access to comprehensive mental health support and therapy services via Spectrum Life.

• Top-Spec Equipment: Provision of a high-performance laptop (MacOS or Windows) and additional peripherals to ensure optimal productivity.

• Hybrid Work Model: Flexibility to balance remote work with in-office collaboration, with 2 days per week at the Warsaw office.

• Travel Opportunities: Occasional travel to the London HQ (2-3 times per year) to foster team cohesion and strategic alignment.

• For B2B Contract:

  • 25 days of non-working leave + Polish bank holidays.
  • Optional access to Private Healthcare (Luxmed) and Multisport card, fully funded by the contractor.
  • Standard B2B contract terms.

• For Employment Contract (UoP):

  • 26 days of holiday + Polish bank holidays.
  • Company pension plan.
  • Company Sick Pay for up to 10 days at 100% salary.
  • Monthly Wellbeing allowance via Juno.
  • Private Healthcare Insurance via Luxmed.
  • Multisport - Classic level.

Working Hours:

• Standard full-time working hours, typically around 40 hours per week. The hybrid model offers flexibility, but core collaboration hours will be expected, particularly on in-office days.

📝 Enhancement Note: The salary range is an estimate based on Polish market data for similar roles and experience levels, adjusted for the tech sector and company stage. The benefits package is robust, with a significant emphasis on professional development and employee well-being, which is attractive to operations professionals seeking long-term career growth and support. The distinction between B2B and UoP contracts is important for candidates to consider regarding their employment preferences and tax implications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurance Technology (Insurtech), Artificial Intelligence (AI), SaaS. Company Size: hyperexponential is a rapidly growing Series B company, likely employing several hundred individuals globally, with a significant and expanding presence in Warsaw. The design team itself is lean (six members initially), indicating a high-impact environment where individual contributions are highly visible. Founded: hyperexponential was founded with a mission to modernize the insurance industry through AI and advanced technology. The company's founding principles likely revolve around innovation, data-driven decision-making, and building enduring solutions.

Team Structure:

• The Design team is a lean, highly creative group of six, comprising Product Designers, Brand Designers, and Design Engineers. This structure suggests a multidisciplinary approach to design.
• The team is designed to lead from the front, implying a proactive and influential role within the organization, not serving as a support function but as a strategic partner.
• Reporting lines within the design team are likely to be flat, with a Head of Design overseeing the group, fostering direct collaboration and rapid decision-making.

Methodology:

• AI-Centric Approach: AI is core to hyperexponential's product and operations. Designers are expected to be "AI maximalists," actively experimenting with and integrating AI tools into their workflows.
• Systems Thinking & Craft Excellence: The culture values deep craft excellence, with an emphasis on building robust design systems and sophisticated product experiences.
• Radical Candor & Collaboration: Open, honest feedback and genuine collaboration are fundamental to the company's ethos, fostering trust and enabling individuals to do their best work.
• Data-Driven Decisions: While design-led, decisions are informed by user feedback, data, and performance metrics, ensuring a pragmatic and impactful approach.

Company Website: https://hyperexponential.com

📝 Enhancement Note: The company culture is clearly defined as forward-thinking, AI-driven, and collaborative, with a strong emphasis on craft and candor. For operations professionals, this translates to an environment where efficiency, innovation, and data integrity are paramount. The lean design team structure suggests opportunities for significant individual impact and direct influence on product strategy.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer, requiring 2-5 years of experience. It offers the opportunity to contribute significantly to foundational product development ("0 to 1") and to grow into more senior design or specialized AI design roles within the company. The focus on evolving the "model developer experience" suggests a potential pathway into specialized product operations or technical design roles.

Reporting Structure: The Product Designer will report to the Head of Design. They will work closely with Product Managers and Engineering leads, forming integral parts of cross-functional product teams. This structure allows for direct mentorship from senior design leadership and exposure to diverse project areas.

Operations Impact: As a Product Designer, the impact is measured through the usability, accessibility, and adoption of the hyperexponential platform. By designing intuitive experiences for complex AI models and the insurance industry, the role directly contributes to:

• Revenue Enablement: Streamlining the process for insurers to price risk, leading to faster deal cycles and increased premium flow.
• Efficiency Gains: Creating tools that empower developers and underwriters to work more efficiently, reducing operational costs and time-to-market.
• Product Adoption & Satisfaction: Ensuring users can effectively leverage the platform's advanced capabilities, driving customer retention and satisfaction.
• Innovation Leadership: Helping to define and build the next generation of AI-powered tools for the insurance industry.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in designing for AI-driven products and developer experiences, a rapidly growing field.
• Design System Leadership: Grow into a more senior role managing or expanding the "Xpression" design language system.
• Cross-Functional Leadership: Develop skills in leading design initiatives within cross-functional teams, influencing product strategy.
• Mentorship: Progress to mentoring junior designers as the team expands.
• Learning & Development: Leverage the generous L&D budget for specialized training in AI, UX research, or product strategy.

📝 Enhancement Note: The role offers a clear path for growth, particularly for those interested in the intersection of design, AI, and operations. The emphasis on "0 to 1" development and "AI maximalism" suggests opportunities to shape new product areas and gain highly sought-after skills in AI product development and strategy.

🌐 Work Environment

Office Type: hyperexponential operates a hybrid work model. The Warsaw office serves as a collaborative hub, designed to foster team interaction and a strong company culture. It is described as a place where employees "travel for the collaborative environment," indicating a focus on in-person synergy. The office is also dog-friendly. Office Location(s): The primary office location for this role is Warsaw, Poland. There will be opportunities for travel to the London HQ.

Workspace Context:

• Collaborative Hub: The Warsaw office is designed for collaboration, with opportunities for spontaneous interactions, team lunches (paid by hx on Wednesdays), and after-hours social events.
• Modern Technology: Employees are provided with top-spec equipment (MacOS or Windows, plus additional monitors, mechanical keyboards), ensuring they have the tools necessary for high-quality design work.
• Team Integration: The hybrid model, with 2 days in the office, is structured to ensure designers remain integrated with their cross-functional teams and the broader design community within the company, facilitating knowledge sharing and problem-solving.

Work Schedule:

• The role follows a standard full-time schedule, approximately 40 hours per week. The hybrid arrangement allows for flexibility, with 2 days expected in the Warsaw office. This structure supports focused individual work (remote) while enabling team collaboration and connection (in-office).

📝 Enhancement Note: The hybrid model with a specific number of office days is crucial for operations roles, as it balances flexibility with the need for in-person collaboration, which is often vital for strategic alignment and process refinement. The dog-friendly office and social events contribute to a positive work environment.

📄 Application & Portfolio Review Process

Interview Process:

• 1. Intro Meeting (Talent Team, 40 mins): Initial screening to assess cultural fit, basic qualifications, and understanding of the role and company.
• 2. Manager Interview (Head of Design, 60 mins): Deeper dive into design philosophy, experience, and strategic thinking.
• 3. Skills Assessment (Portfolio Review & Team Collaboration, Async & 60 mins):
  • Async Portfolio Review: Candidates will likely submit their portfolio for review by the design team. This is where the depth of their process, problem-solving skills, and AI integration examples will be scrutinized.
  • Team Collaboration Session (60 mins): This could involve a design exercise or a collaborative problem-solving session with existing team members to assess how the candidate interacts, communicates, and contributes within a team setting.
• 4. Values Interview (60 mins): Assessment of alignment with hyperexponential's core values (AI maximalism, owning ambiguity, radical candor) and cultural fit.
• 5. Offer: If successful, an offer will be extended.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your strongest, most relevant projects. Prioritize those that showcase end-to-end design thinking, complex problem-solving, and ideally, any experience with AI tools or technical domains.
• Tell a Story: For each project, clearly articulate the problem, your role, the process (research, ideation, design, testing), the solutions, and most importantly, the impact (metrics, user feedback, business outcomes).
• Highlight AI Integration: Explicitly detail how you used AI tools within your workflow. Be specific about the tools, the task, and the benefits achieved (e.g., "Used Midjourney for initial concept mood boarding, generating 50+ visual directions in 2 hours, which informed our final aesthetic direction," or "Leveraged an AI summarization tool for interview transcripts, reducing synthesis time by 30%").
• Showcase Process: Don't just show final screens. Include wireframes, user flows, research insights, and iterations to demonstrate your thought process and problem-solving approach.
• Design System Experience: If you have experience with design systems, clearly explain your contributions and how you maintain consistency and quality.
• Be Prepared for Questions: Anticipate questions about your design decisions, challenges faced, how you handle feedback, and your approach to collaboration.

Challenge Preparation:

• Design Exercise: Be prepared for a take-home design challenge or an in-interview exercise. This will likely involve a complex problem related to the insurance domain or AI tooling. Focus on demonstrating your structured approach, user empathy, and ability to deliver a well-reasoned solution within the given constraints.
• Collaboration Simulation: The team collaboration session is key. Practice communicating your ideas clearly, actively listening to others, providing constructive feedback, and building upon the ideas of your peers. Show you can be a valuable and collaborative team member.
• Values Alignment: Reflect on the company's stated values (AI maximalism, owning ambiguity, radical candor) and prepare examples from your past experiences that demonstrate how you embody these principles.

📝 Enhancement Note: The interview process emphasizes collaboration and values alignment, common in high-performing tech teams. The portfolio review is a critical step, and candidates should be prepared to explicitly detail their use of AI tools and their approach to complex, potentially ambiguous problems in technical domains.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, industry standard), Sketch, Adobe XD.
• Design System Management: Tools associated with design systems (e.g., Storybook, Zeplin) or integrated within Figma.
• AI Design Tools: Candidates are expected to have demonstrable experience with tools like Midjourney, Stable Diffusion, ChatGPT for design assistance, AI-powered research synthesis tools, or similar emerging technologies.
• Collaboration & Project Management: Jira, Confluence, Asana, Trello (for cross-functional workflow tracking).

Analytics & Reporting:

• Product Analytics: Amplitude, Mixpanel, Google Analytics (for understanding user behavior and product performance).
• Data Visualization: Tableau, Power BI, Looker (for presenting data insights, though less direct for a designer, awareness is beneficial).

CRM & Automation:

• While not directly managed by Product Design, familiarity with CRM systems (e.g., Salesforce) and marketing automation platforms is beneficial for understanding the broader GTM ecosystem and how product interfaces with sales and marketing efforts.

📝 Enhancement Note: The explicit mention of AI tools is a key differentiator. Candidates should be ready to discuss specific AI tools they've used and how they've integrated them into their design process to improve efficiency and outcomes. A strong understanding of design systems is also critical for scalable product development.

👥 Team Culture & Values

Operations Values:

• AI Maximalism: A deep commitment to leveraging AI across all aspects of work, from product development to operational efficiency. This means embracing AI tools and exploring new ways to apply AI to solve problems.
• Owning Ambiguity: A willingness and ability to navigate uncertainty, take initiative, and drive clarity in complex, evolving problem spaces without constant direction.
• Radical Candor: A culture of direct, honest, and constructive feedback, delivered with empathy, to foster trust, accelerate learning, and achieve collective success.
• Craft Excellence: A dedication to high-quality execution, attention to detail, and continuous improvement in design craft and technical implementation.
• Impact-Driven: A focus on delivering measurable outcomes and significant value to users and the business, rather than prioritizing process for its own sake.

Collaboration Style:

• Cross-Functional Integration: Designers work as integral members of product teams, collaborating closely with Product Managers, Engineers, and Researchers.
• Design-Led Discovery: Design plays a proactive role in discovery and ideation, not just execution, bringing structured thinking to complex challenges.
• Iterative & Feedback-Oriented: A continuous cycle of feedback, iteration, and refinement, driven by user insights, data, and peer critique.
• Knowledge Sharing: Open sharing of learnings, best practices, and tool discoveries, particularly around AI integration and design system evolution.

📝 Enhancement Note: The emphasis on "AI Maximalism" and "Owning Ambiguity" is particularly relevant for operations-minded candidates who thrive on problem-solving in complex environments and are comfortable with evolving processes and technologies. Radical Candor is a hallmark of high-performing, efficient teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate AI models and insurance domain logic into intuitive user experiences for a technical audience (model developers).
• 0 to 1 Development: Building a new developer experience from scratch requires significant strategic thinking, user research, and iterative validation with limited initial data.
• AI Integration at Scale: Effectively integrating AI tools into the design workflow and product itself in a way that genuinely enhances value without compromising quality or user trust.
• Rapid Growth Environment: Adapting to a fast-paced, scaling company where processes and priorities can evolve quickly.

Learning & Development Opportunities:

• AI in Design Specialization: Become a recognized expert in designing for AI-powered products and developer tools.
• Design System Growth: Play a key role in scaling and evolving a core design system for a growing platform.
• Cross-functional Strategy: Gain experience influencing product strategy at a company level through close collaboration with leadership.
• Industry Exposure: Deepen understanding of the insurance and AI industries through direct work on critical business problems.
• Formal Training: Utilize the £5,000 GBP L&D budget for specialized courses, certifications, or conferences related to AI, UX, or product management.

📝 Enhancement Note: The challenges presented are typical of innovative tech companies and offer significant growth potential. For operations professionals, overcoming these challenges will build valuable experience in product strategy, technical design, and process optimization within a cutting-edge domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex technical feature from scratch (0 to 1). What was your process, what were the biggest challenges, and what was the outcome?" (Focus on your structured approach, research, and problem-solving).
• "How have you used AI tools in your design workflow? Provide a specific example of how it improved your efficiency or the quality of your output." (Be ready to detail the tool, the task, and the measurable benefit).
• "Walk us through a project where you contributed to or managed a design system. What was your role, what challenges did you face, and how did you ensure consistency and adoption?" (Highlight your understanding of scalable design).
• "Imagine a scenario where product requirements are vague or conflicting. How would you, as a designer, navigate this ambiguity to drive clarity and deliver a solution?" (Demonstrate your proactive problem-solving and communication skills).
• "How do you approach collaborating with engineers and product managers who might have different priorities or perspectives?" (Showcase your ability to build consensus and manage stakeholder relationships).

Company & Culture Questions:

• "What excites you about hyperexponential's mission and the insurance industry?" (Research the company's vision and recent news).
• "How do you embody our values of 'AI Maximalism,' 'Owning Ambiguity,' and 'Radical Candor' in your professional work?" (Prepare specific examples from your experience).
• "Describe your ideal team environment and how you contribute to a positive and productive team culture." (Align your response with their emphasis on collaboration and candor).

Portfolio Presentation Strategy:

• Start with the 'Why': Begin each case study by clearly stating the problem and the business/user goals.
• Show, Don't Just Tell: Use visuals (wireframes, mockups, prototypes, user flows) to illustrate your process and solutions.
• Quantify Impact: Whenever possible, use metrics (e.g., increased conversion rates, reduced task completion time, user satisfaction scores) to demonstrate the success of your designs.
• Highlight AI Integration: Dedicate a specific section or clearly call out how AI was used in the project, explaining the value it added.
• Be Ready for Deep Dives: Anticipate questions about specific design choices, trade-offs made, and alternative solutions considered.
• Practice Your Narrative: Rehearse your presentation to ensure a smooth, confident delivery within the allotted time.

📝 Enhancement Note: Preparing for questions around AI integration, ambiguity, and design systems will be crucial. Candidates should also be ready to discuss the operational impact of their design decisions, framing their work in terms of efficiency, scalability, and user enablement.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.
• Portfolio Customization: Ensure your portfolio prominently features 2-3 strong case studies that demonstrate end-to-end design process, problem-solving, and ideally, experience with AI tools or complex technical domains.
• Resume Optimization: Tailor your resume to highlight keywords such as "Product Design," "UX/UI," "Design Systems," "AI Tools," "Collaboration," "Interaction Design," and "Problem-Solving." Quantify your achievements wherever possible.
• Interview Preparation: Thoroughly research hyperexponential, its product, the insurance industry, and its stated values. Practice articulating your design process, your experience with AI tools, and how you embody the company's core values. Prepare to discuss your portfolio in detail.
• Company Research: Understand hyperexponential's mission, their position in the market, and their commitment to AI. Familiarize yourself with their "Xpression" design language and their hybrid work model.

⚠️ 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.