Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Hupo

Location: Remote (UTC+5–UTC+11 / Asia time zone preferred)

Job Type: Full-time

Category: Product Design / AI Product Development

Date Posted: 2026-08-10T07:55:11

Experience Level: 5-10 years

🚀 Role Summary

• Design and own end-to-end product experiences for AI-native sales enablement tools, focusing on novel interaction patterns for prompting, agentic workflows, and human-in-the-loop systems.

• Drive user research and leverage product data to deeply understand customer needs and advocate for user-centric solutions within the banking, financial services, and insurance (BFSI) sectors.

• Collaborate closely with Product Management and Engineering from concept to launch, influencing product strategy and ensuring seamless integration of design into development cycles.

• Contribute to and scale the company's agentic design system, establishing reusable patterns and components to ensure product consistency and quality across an expanding product surface.

• Utilize AI tools throughout the entire design process, from ideation and prototyping to engineering handoff, to enhance efficiency and explore more design directions.

📝 Enhancement Note: This role is specifically geared towards a Product Designer with a strong inclination and practical experience in designing for Artificial Intelligence (AI) products, particularly within enterprise SaaS environments targeting the BFSI industry. The emphasis on "AI-native" and "agentic workflows" indicates a need for a designer who can conceptualize and execute entirely new ways for users to interact with AI, rather than simply augmenting existing interfaces. The preferred Asia time zone remote work suggests a focus on global product development and support for a distributed team.

📈 Primary Responsibilities

• Lead the design process for core product areas, encompassing problem framing, user research, concept exploration, rapid prototyping, and the delivery of polished, user-ready experiences.

• Conceptualize and design innovative AI interaction patterns, including sophisticated prompting mechanisms, autonomous agentic workflows, real-time streaming outputs, and effective human-in-the-loop feedback loops.

• Conduct user research within assigned product domains, directly engaging with end-users in the BFSI sector to uncover pain points, validate hypotheses, and champion user needs throughout the product development lifecycle.

• Foster robust partnerships with Product Managers and Engineers, actively participating in product strategy discussions and influencing the product roadmap by translating user insights and business objectives into tangible design solutions.

• Develop and iterate on interactive prototypes to quickly visualize and test ambiguous ideas, explore diverse design directions, and mitigate development risks before significant engineering investment.

• Contribute to the evolution and expansion of the agentic design system, creating and documenting reusable components and patterns that elevate design quality and consistency across all product features.

📝 Enhancement Note: The responsibilities highlight a hands-on, end-to-end design ownership. The emphasis on "novel AI interactions" and "agentic workflows" requires a designer who can think conceptually about AI's unique capabilities and limitations, moving beyond traditional UI/UX paradigms. "Partnering closely with Product and Engineering from day one" implies a highly collaborative environment where design is integral to strategic decision-making, not just a visual execution phase.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, candidates are expected to possess a strong portfolio demonstrating mastery of design principles and a deep understanding of user-centered design methodologies. A background in Human-Computer Interaction (HCI), Design, Psychology, Cognitive Science, or a related field is advantageous.

Experience: 5-10 years of progressive experience in Product Design, with a significant portion focused on AI-driven products and complex enterprise software solutions.

Required Skills:

• AI-native Design Proficiency: Demonstrated ability to leverage AI tools across the entire design lifecycle, from advanced research and ideation to rapid prototyping and sophisticated engineering handoffs that incorporate AI-driven insights.

• User & Behavioral Design Expertise: Proven experience designing for environments with complex stakeholder dynamics (buyer vs. user incentives), with a strong understanding of user behavior, motivation, and cognitive patterns.

• AI Product Design Experience: A track record of designing novel AI interactions, with a clear point of view on the future trajectory of AI product design and its application in enterprise settings.

• Product Ownership & Outcome Orientation: Ability to own product outcomes, measure success by user impact and value creation rather than just deliverables, and drive projects to successful completion.

• Ambiguity Tolerance & Process Agility: Comfort thriving in a fast-paced, light-process startup environment, with the initiative to help shape and evolve design processes as the company grows.

• Craftsmanship & Design Systems Fluency: Strong attention to detail, a commitment to high-quality design, and experience creating and scaling robust, reusable design systems and components.

• Clear Reasoning & Communication: Exceptional verbal and written communication skills, with the ability to articulate design rationale clearly, constructively challenge assumptions, and effectively present work to diverse audiences.

Preferred Skills:

• Frontend/Code Fluency: Experience shipping production code or a strong understanding of frontend development principles, enabling closer collaboration on "design-to-code" workflows.

• Specialized Research Depth: Expertise in behavioral science, psychology, cognitive science, or advanced qualitative/quantitative research methodologies to drive deeper user understanding.

📝 Enhancement Note: The "Must-Haves" emphasize a forward-thinking designer who is not only skilled in traditional design practices but also deeply integrated with AI's capabilities and implications. The "AI-native" requirement is a critical differentiator, suggesting the company is looking for someone who sees AI as a fundamental tool and design element. The preferred skills highlight a desire for a "T-shaped" designer with deep expertise in one area, further reinforcing the need for specialized knowledge.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Driven Design Case Studies: Showcase at least 2-3 comprehensive case studies detailing your experience designing AI-native products, focusing on novel interaction patterns, complex workflows, and user adoption challenges.

• End-to-End Ownership Examples: Demonstrate instances where you managed the design process from initial problem definition and user research through to shipped product, highlighting your strategic input and iterative design process.

• Design System Contributions: Include examples of design system components, pattern libraries, or style guides you've developed or significantly contributed to, emphasizing reusability and scalability.

• Prototyping & Interaction Design: Provide examples of interactive prototypes that effectively communicate complex AI interactions, user flows, and key user journeys, showcasing your ability to de-risk ideas through rapid iteration.

• User Research & Data Analysis: Illustrate how you've incorporated user research findings and product data into your design decisions, demonstrating a user-centric and data-informed approach.

Process Documentation:

• Workflow Mapping & Optimization: Present examples of how you've mapped out complex user workflows, identified inefficiencies, and designed solutions to streamline processes, particularly in the context of AI-assisted tasks.

• System Implementation & Integration: Document instances where your design work has been successfully implemented, detailing collaboration with engineering teams and any considerations for system integration or data flow.

• Measurement & Performance Analysis: Explain how you measure the success of your designs, focusing on user impact, adoption rates, and other relevant metrics that demonstrate the value created by your design contributions.

📝 Enhancement Note: Given the "AI-native" and "agentic workflow" focus, the portfolio should prominently feature projects that demonstrate an understanding of AI's unique design challenges and opportunities. Emphasis on "outcomes, not just deliverables" means case studies must clearly articulate the business and user impact of the designs presented, supported by data where possible.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 5-10 years of experience in a remote, Asia-timezone-preferred role within an AI-native startup, a competitive salary range can be estimated between $90,000 - $140,000 USD annually. This range accounts for the specialized skills in AI product design, the seniority of the role, and the startup environment. Actual compensation will be determined by the candidate's specific experience, skills, and location within the specified time zones.

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Generous paid time off (PTO) and public holiday allowance.

• Stock options package, providing equity in a rapidly growing AI startup.

• Professional development budget for conferences, courses, and continuous learning.

• Remote work stipend to support home office setup and productivity.

• Opportunities for flexible working hours within the UTC+5–UTC+11 time zone.

• Access to cutting-edge AI tools and technologies for personal and professional development.

Working Hours: The role is structured around a standard 40-hour work week, with flexibility to accommodate the preferred Asia time zone (UTC+5–UTC+11). While core collaboration hours will be established, there's an expectation of autonomy and the ability to manage one's schedule effectively to meet project deadlines and engage with a globally distributed team.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for experienced Product Designers in remote startup environments, with adjustments for the specialized AI product design focus and the preferred geographic region. The benefits package is designed to attract top talent in the competitive tech startup landscape, emphasizing equity, professional growth, and remote work support.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology - Artificial Intelligence (AI) Start-up, specializing in AI-native sales enablement products for the Banking, Financial Services, and Insurance (BFSI) industry. The company is positioned at the forefront of AI innovation, aiming to transform how enterprises leverage AI in their sales processes.

Company Size: As an AI-native startup, Hupo is likely in a growth phase, potentially ranging from 50-200 employees. This size indicates a dynamic environment with opportunities for significant impact and rapid career progression, while still maintaining a cohesive team culture.

Founded: Founded recently, likely within the last 3-7 years, to capitalize on the rapid advancements in AI and the growing demand for AI-powered enterprise solutions. This suggests a culture of innovation, agility, and a strong entrepreneurial spirit.

Team Structure:

• Product Team: The Product Designer will join a dedicated Product team, which typically includes Product Managers, other Designers, and potentially UX Researchers. This team works in close alignment with Engineering.

• Reporting Structure: The Product Designer will likely report to a Head of Product, Design Lead, or a senior Product Manager, depending on the organizational structure.

• Cross-functional Collaboration: Expect intensive collaboration with Engineering teams (Frontend, Backend, AI/ML Engineers), Product Management, and potentially Sales and Customer Success to gather insights and ensure product-market fit.

Methodology:

• Data-Driven Product Development: Emphasis on using product analytics and user feedback to inform design decisions and measure impact.

• Agile & Iterative Design: A fast-paced, iterative approach to product development, prioritizing rapid prototyping, testing, and learning.

• AI Integration: A core philosophy of embedding AI into every aspect of the product and the design process itself.

Company Website: https://careers.hupo.co

📝 Enhancement Note: The company's focus on AI in BFSI suggests a need for designers who can navigate complex regulatory environments and understand the specific needs of enterprise clients in these sectors. The startup culture implies a lean, efficient, and highly collaborative environment where individual contributions are highly visible and impactful.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level Product Designer, requiring 5-10 years of experience. It signifies a level of autonomy and ownership where the designer is expected to lead design initiatives, contribute strategically to product direction, and mentor junior team members if applicable. The focus is on impact and end-to-end responsibility rather than just task execution.

Reporting Structure: The designer will likely report into a design leadership role or a senior product manager, working closely with product and engineering leads. This structure ensures alignment with product strategy and facilitates efficient cross-functional collaboration.

Operations Impact: The Product Designer's work will have a direct and significant impact on Hupo's core product offerings and user experience. By shaping how users interact with AI in sales enablement, the designer will influence customer acquisition, retention, and the overall value proposition of Hupo's AI-native solutions. Success is measured by user adoption, satisfaction, and the achievement of business objectives through design.

Growth Opportunities:

• Specialization in AI Product Design: Deepen expertise in designing for cutting-edge AI technologies, becoming a go-to specialist in agentic workflows, human-in-the-loop systems, and advanced prompting interfaces.

• Design Leadership: With proven impact and leadership potential, opportunities may arise to move into a Design Lead or Manager role, overseeing design strategy and mentoring a growing design team.

• Product Strategy Influence: Contribute more significantly to product strategy and roadmap planning, leveraging design insights to identify new market opportunities and product innovations.

• Cross-functional Expertise: Gain exposure to various aspects of the business, including product management, AI/ML development, and go-to-market strategies, broadening overall understanding and career options.

📝 Enhancement Note: The growth trajectory for a Product Designer at an AI-focused startup like Hupo is typically steep. The emphasis on "AI-native" and "agentic workflows" provides a unique opportunity to become a leader in a nascent but rapidly growing field of product design, offering both technical depth and strategic influence.

🌐 Work Environment

Office Type: The role is primarily remote, with the preference for candidates within Asia time zones (UTC+5–UTC+11). This suggests a distributed team model, emphasizing asynchronous communication and digital collaboration tools. While there might be occasional in-person meetups or offsites, the day-to-day work environment is virtual.

Office Location(s): While the role is remote, the company has physical presence or targets talent in Singapore, Hong Kong, Bangkok (Thailand), Kuala Lumpur (Malaysia), and Seoul (South Korea). This indicates a global outlook and potential for future office hubs or collaborative spaces.

Workspace Context:

• Collaborative Digital Environment: Expect a highly collaborative digital workspace utilizing tools like Slack, Zoom, Figma, and project management software. Effective remote collaboration and communication are paramount.

• AI-Powered Tools: Access to and utilization of AI tools to augment the design process, potentially including AI-assisted design platforms, research tools, and prototyping aids.

• Cross-functional Interaction: Frequent interaction with Product Managers, Engineers, and other stakeholders via video calls, chat, and shared digital workspaces, fostering a sense of a connected, albeit distributed, team.

Work Schedule: The standard 40-hour work week is flexible, especially for remote employees in different time zones. The focus is on delivering high-quality work and meeting project milestones, with an emphasis on asynchronous communication to bridge time zone differences. Core collaboration hours will likely be established to ensure team alignment.

📝 Enhancement Note: The remote-first, Asia time zone preference indicates a company that is built for distributed work and values asynchronous collaboration. Candidates should be comfortable with digital communication tools and have strong self-management skills. The "AI-native" aspect might also extend to the tools and platforms used within the company's own operations.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application, focusing on your resume and portfolio for relevant experience in product design, AI, and enterprise software.

• Portfolio Presentation & Discussion: A dedicated session where you present 2-3 key design case studies from your portfolio, explaining your process, rationale, and the impact of your work. This will involve deep dives into your AI design experience and problem-solving approach.

• Design Challenge/Exercise: You may be given a take-home design exercise or a live problem-solving session focused on designing for AI interactions or a specific product challenge. This assesses your practical skills and ability to apply your methodology.

• Cross-functional Interviews: Meetings with Product Managers and Engineering leads to assess your collaboration style, communication skills, and understanding of technical constraints and product strategy.

• Final Interview: A conversation with senior leadership or the hiring manager to discuss cultural fit, long-term vision, and overall suitability for the role and company.

Portfolio Review Tips:

• Highlight AI Impact: Clearly articulate the AI-specific challenges and solutions in your case studies. Quantify user and business impact wherever possible.

• Showcase Process & Rationale: Explain why you made certain design decisions, especially concerning novel AI interactions, user behavior, and data utilization.

• Demonstrate System Thinking: Showcase your ability to design reusable patterns and contribute to design systems, emphasizing scalability and consistency.

• Tailor to Hupo: Research Hupo's product and target market (BFSI). If possible, subtly tailor your portfolio presentation to resonate with their specific challenges and goals.

• Prepare for "AI-native" Discussion: Be ready to discuss your personal philosophy and practical application of AI in your design workflow, beyond just using AI tools.

Challenge Preparation:

• Focus on AI Interaction: If a challenge is provided, anticipate problems related to AI interfaces, user trust, data privacy, and complex, multi-step AI processes.

• Structure Your Approach: For any challenge, outline your problem-solving framework: understanding the problem, user research (even if simulated), ideation, prototyping, and rationale for chosen solutions.

• Communicate Clearly: Practice articulating your thought process and design decisions concisely and logically, as if presenting to both technical and non-technical stakeholders.

📝 Enhancement Note: The interview process is designed to thoroughly evaluate a candidate's expertise in AI product design, their ability to work autonomously and collaboratively in a remote setting, and their fit with a fast-paced, innovative startup culture. The emphasis on portfolio review and design challenges means candidates should prepare detailed examples and be ready to articulate their design thinking process.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: For UI design, prototyping, and collaborative workflows. This is the industry standard for modern product design teams.

• Miro/FigJam: For collaborative whiteboarding, brainstorming, user journey mapping, and workshop facilitation.

• Prototyping Tools (e.g., Framer, Principle, ProtoPie): For creating interactive prototypes to test complex AI interactions and user flows.

• AI-Assisted Design Tools: Potentially tools like Uizard, Galileo AI, or others that leverage AI for design generation, ideation, or asset creation.

Analytics & Reporting:

• Product Analytics Platforms (e.g., Amplitude, Mixpanel, Pendo): For understanding user behavior, tracking feature adoption, and measuring the impact of design changes.

• Data Visualization Tools (e.g., Tableau, Looker): May be used to interpret user data and present findings, although direct use might be by data analysts.

CRM & Automation:

• CRM Systems (e.g., Salesforce, HubSpot): While not a primary design tool, understanding CRM concepts is beneficial for designing sales enablement features.

• Project Management Tools (e.g., Jira, Asana, Trello): For managing design tasks, sprints, and collaborating with engineering teams.

• Communication Platforms (e.g., Slack, Microsoft Teams): Essential for day-to-day communication and collaboration within a remote team.

📝 Enhancement Note: The technology stack emphasizes modern design tools, collaborative platforms, and an openness to leveraging AI within the design workflow itself. Proficiency in Figma and collaborative whiteboarding tools is expected. Familiarity with product analytics tools is beneficial for understanding user data and measuring design impact.

👥 Team Culture & Values

Operations Values:

• AI-First Innovation: A deep commitment to leveraging AI to create groundbreaking products and improve internal processes, fostering a culture of continuous learning and experimentation with AI technologies.

• User-Centricity & Empathy: Placing the user at the heart of all design and product decisions, with a strong emphasis on understanding user needs, behaviors, and pain points, particularly within the complex BFSI domain.

• Ownership & Accountability: Empowering individuals to take full ownership of their work, drive initiatives to completion, and be accountable for the outcomes and impact of their contributions.

• Agility & Adaptability: Embracing a fast-paced, iterative approach to product development, remaining flexible and responsive to market changes, user feedback, and evolving AI capabilities.

• Collaboration & Transparency: Fostering an open and collaborative environment where ideas are shared freely, feedback is constructive, and cross-functional teams work seamlessly towards common goals.

Collaboration Style:

• Asynchronous & Remote-First: Primarily asynchronous communication to accommodate global time zones, supplemented by scheduled video calls for critical discussions and team alignment.

• Cross-functional Synergy: Close partnerships between Product Design, Product Management, and Engineering, where design is integrated into every stage of the product lifecycle.

• Feedback-Driven: A culture that encourages constructive feedback, design critiques, and open dialogue to elevate the quality and effectiveness of product solutions.

• Knowledge Sharing: Active participation in sharing learnings, best practices, and insights across the team, particularly concerning AI design trends and innovative solutions.

📝 Enhancement Note: The company values reflect a startup environment focused on rapid innovation, data-driven decision-making, and strong teamwork, amplified by a commitment to AI. Candidates should demonstrate alignment with these values, showcasing their ability to thrive in a dynamic, collaborative, and forward-thinking organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Novel AI Interactions: Creating intuitive and effective user experiences for cutting-edge AI functionalities like agentic workflows and complex prompting, where established patterns may not exist.

• Balancing User Needs with Enterprise Demands: Designing solutions that satisfy the end-user's workflow requirements while also meeting the strategic objectives and security protocols of enterprise BFSI clients.

• Navigating Ambiguity in a Fast-Paced Startup: Thriving in an environment with evolving priorities and light process, requiring strong self-direction and the ability to shape processes as they develop.

• Integrating AI into the Design Workflow: Effectively leveraging AI tools to enhance personal productivity and design exploration without compromising on critical thinking and user advocacy.

Learning & Development Opportunities:

• Deep Dive into AI Product Design: Become an expert in designing for AI, understanding its nuances, ethical considerations, and future potential in enterprise software.

• Exposure to Cutting-Edge Technology: Work with and contribute to the development of AI-native products, staying at the forefront of technological innovation.

• Mentorship and Skill Expansion: Opportunities to learn from experienced product and engineering leaders, and potentially mentor junior designers as the team grows.

• Professional Development Budget: Access to resources for attending industry conferences, online courses, and certifications to continuously enhance skills in design, AI, and related fields.

📝 Enhancement Note: The challenges are inherent to working in a cutting-edge AI startup. Candidates should view these challenges as opportunities for significant professional growth and to make a substantial impact in a rapidly evolving field.

💡 Interview Preparation

Strategy Questions:

• "How do you approach designing for ambiguity, especially in a rapidly evolving field like AI?" (Prepare to discuss your framework for tackling undefined problems, iterative processes, and hypothesis testing.)

• "Describe your experience using AI tools in your design process. What are the benefits and limitations you've observed?" (Be ready to share specific examples of AI tools used for research, ideation, prototyping, or handoff, and critically assess their effectiveness.)

• "How would you design a system for a user to effectively prompt an AI agent to complete a complex sales report, considering potential inaccuracies or unexpected outputs?" (Focus on user control, feedback mechanisms, error handling, and iterative refinement of AI outputs.)

• "Walk us through a product you designed where you had to balance the incentives of different stakeholders (e.g., buyer vs. user). What was your approach?" (Highlight your ability to understand diverse needs and design solutions that create value for all parties.) Company & Culture Questions:

• "What excites you most about Hupo's mission and our focus on AI-native sales enablement for BFSI?" (Research Hupo's market position, competitors, and the specific challenges in BFSI that AI can address.)

• "How do you contribute to a positive and productive remote team culture?" (Discuss your experience with asynchronous communication, proactive collaboration, and building relationships virtually.)

• "Describe a time you had to challenge an assumption or push back on an idea from a colleague or stakeholder. How did you handle it?" (Demonstrate your ability to provide constructive feedback and advocate for user-centered design principles.) Portfolio Presentation Strategy:

• Storytelling is Key: Frame each case study as a narrative: the problem, your role, your process, the challenges, the solution, and the impact.

• Focus on AI Innovation: Emphasize the novel AI interactions and workflows you designed. Explain the user problems these solutions addressed and how they differed from traditional approaches.

• Quantify Impact: Where possible, present metrics demonstrating the success of your designs (e.g., increased user engagement, improved task completion rates, adoption of new features).

• Showcase Your Process: Be prepared to detail your research methods, ideation techniques, prototyping approaches, and iteration cycles. Explain your rationale at each step.

• Be Ready for Deep Dives: Anticipate detailed questions about your design decisions, trade-offs made, and how you would handle potential future iterations or challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design skills, but also a deep understanding of AI, a strategic mindset, and the ability to thrive in a startup environment. Candidates should be ready to articulate their unique perspective on AI product design and its future.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the Hupo careers portal via the provided link: https://careers.hupo.co/jobs/8196824-product-designer

• Tailor Your Resume: Highlight experience relevant to AI product design, enterprise software, user research, and design systems. Use keywords from the job description such as "AI-native," "agentic workflows," "user research," and "design systems."

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best showcase your AI product design experience, end-to-end ownership, and ability to solve complex user problems. Ensure your portfolio clearly articulates your process, rationale, and the impact of your work.

• Prepare Your Presentation: Practice presenting your portfolio case studies, focusing on storytelling, clear articulation of your design process, and highlighting the AI-specific aspects and outcomes of your projects.

• Research Hupo: Familiarize yourself with Hupo's product offerings, target market (BFSI), and company mission to demonstrate genuine interest and understanding during the interview process.

⚠️ 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.