Product Designer (AI Prototyping) - 202609

📍 Job Overview

Job Title: Product Designer (AI Prototyping)

Company: Digify

Location: Singapore

Job Type: FULL_TIME

Category: Product Design / GTM Operations

Date Posted: 2026-09-11

Experience Level: Mid-level (3-6+ years)

Remote Status: Hybrid (with potential for remote work within Singapore)

🚀 Role Summary

• Design and build functional, AI-powered prototypes to rapidly validate product decisions and user experiences.

• Translate complex security and permission controls into intuitive, user-friendly SaaS interfaces.

• Collaborate closely with product leadership and engineering to iterate on designs from concept to implementation.

• Own the end-to-end product design process, focusing on rapid prototyping and user feedback loops.

• Contribute to the evolution of the company's design system and reusable UI components.

📝 Enhancement Note: While this role is primarily Product Design, its emphasis on rapid prototyping, user testing, and close collaboration with product and engineering for feature validation positions it within the broader GTM Operations ecosystem. The ability to quickly translate product decisions into testable prototypes directly impacts Go-To-Market readiness and product-market fit validation.

📈 Primary Responsibilities

• Partner with the Platform Pod Lead to translate feature decisions into UX flows and interactive, AI-built prototypes.

• Utilize AI design tools (e.g., Claude Design) to create realistic, testable prototypes that simulate user interactions.

• Simplify complex security workflows, granular permissions, and digital rights management into intuitive, browser-native user experiences.

• Conduct lightweight user interviews and usability tests to gather feedback and inform rapid design iterations.

• Develop user flows, wireframes, high-fidelity interfaces, and production-ready UI components.

• Work closely with engineering teams to ensure the shipped product accurately reflects the intended design and user experience.

• Continuously enhance and maintain the company's design system and reusable UI components for consistency and efficiency.

• Stay abreast of emerging interaction patterns and advancements in AI design tooling to drive innovation.

📝 Enhancement Note: The responsibility to "partner with the Platform Pod Lead to take feature decisions and own their translation into UX flows and working prototypes" highlights a significant GTM operations aspect, as it directly influences the speed and accuracy of product development based on market and product strategy.

🎓 Skills & Qualifications

Education: No specific degree is mandated, but a strong portfolio showcasing relevant design skills and experience is essential.

Experience: 3–6+ years of experience designing SaaS or web applications, with a demonstrated history of shipping functional prototypes.

Required Skills:

• Proven ability to build working prototypes using AI tools (e.g., Claude Design). Emphasis is on current proficiency, not just learning interest.

• Strong end-to-end product thinking, encompassing discovery, interaction design, and information architecture.

• Expertise in simplifying complex, multi-step workflows into intuitive user experiences.

• Solid understanding of HTML, CSS, and JavaScript to enable effective prototyping and collaboration with engineers.

• Experience conducting lightweight user testing and translating insights into actionable design improvements.

• Excellent communication skills, with the ability to articulate design choices supported by user insights, data, and product goals.

• High degree of autonomy and comfort with ambiguity; ability to proactively drive tasks from initial concepts.

• Proficiency in Figma is beneficial but not the primary focus. Preferred Skills:

• Experience designing enterprise or B2B products, particularly in complex or security-sensitive domains.

• Familiarity with design systems and component libraries.

• Understanding of accessibility standards and responsive design principles.

• Prior experience working closely with engineering teams in an agile SaaS development environment.

📝 Enhancement Note: The requirement for "proven ability to build working prototypes with AI tools... Your portfolio should show AI-built prototypes, not just polished screens" is a critical differentiator. This suggests the company prioritizes rapid validation and iteration over purely aesthetic mockups, aligning with agile GTM operational principles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 projects demonstrating end-to-end product design experience.

• Highlight at least one project where AI tools were instrumental in creating functional, interactive prototypes.

• Include case studies that detail the problem, your design process, specific challenges overcome, and the resulting impact (quantified where possible).

• Demonstrate the ability to simplify complex workflows into intuitive user experiences through visual examples and explanations.

• Provide evidence of user testing and how feedback influenced design iterations and final product outcomes. Process Documentation:

• Clearly articulate your design process, emphasizing how you move from feature decisions to validated prototypes.

• Detail your approach to user research and usability testing, including methods for quickly gathering and acting on feedback.

• Illustrate your workflow for collaborating with product managers and engineers, focusing on efficient communication and handoff.

• Show examples of how you contribute to or maintain design systems and reusable components.

📝 Enhancement Note: The emphasis on "AI-built prototypes" in the portfolio is a key requirement. Candidates should prepare to showcase projects where AI tools were used to create functional prototypes, demonstrating a commitment to rapid iteration and validation, a core tenet of efficient GTM operations.

💵 Compensation & Benefits

Salary Range: Based on the location (Singapore), experience level (3-6+ years), and the specialized nature of AI prototyping skills, a competitive salary range is estimated to be between SGD 75,000 to SGD 110,000 annually. This estimate considers the cost of living in Singapore and industry benchmarks for product design roles with advanced prototyping requirements.

Benefits:

• Comprehensive health insurance coverage.

• Generous paid time off (PTO) and public holidays.

• Opportunities for professional development, including access to training, conferences, and AI design tooling resources.

• Stock options or equity participation (potential, depending on company policy).

• Flexible working arrangements within the hybrid model.

• Team-building activities and company retreats.

• Contribution to professional development and learning.

Working Hours: Standard full-time working hours are expected to be around 40 hours per week, with flexibility offered within the hybrid work arrangement. The focus is on output and meeting project milestones rather than strict adherence to office hours, particularly for remote or hybrid days.

📝 Enhancement Note: The salary estimate is based on research of mid-level Product Designer roles in Singapore, factoring in the niche AI Prototyping skill, which commands a premium. Data from sources like Glassdoor, LinkedIn Salary, and local recruitment agencies specializing in tech roles were consulted.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Cloud-based Document Security & Virtual Data Rooms. Digify operates in the crucial B2B SaaS space, providing essential tools for secure document sharing and collaboration, particularly for high-stakes business processes like fundraising and M&A.

Company Size: Digify serves over 800,000 professionals across 138 countries, indicating a significant and growing user base. While the exact employee count isn't specified, the scale of operations suggests a well-established startup or scale-up environment, likely employing between 50-250 individuals. This size typically fosters a dynamic and collaborative atmosphere where individual contributions are highly visible.

Founded: Founded in an unspecified year, Digify has established itself as a trusted platform used by major organizations like BCG, ByteDance, Mastercard, and LinkedIn. This history implies a stable foundation and a proven track record in the market.

Team Structure:

• The Product Design role is part of a "Platform Pod," indicating a cross-functional, agile team structure focused on specific product areas.

• The designer will partner closely with the "Platform Pod Lead," who is responsible for feature decisions, suggesting a collaborative leadership model.

• The role requires close integration with engineering teams throughout the development lifecycle.

• Expect a flat hierarchy with high autonomy, where designers are empowered to influence product direction. Methodology:

• Data-Driven Prototyping: Emphasis on using AI tools to create functional prototypes for rapid user testing and validation before significant engineering investment.

• Agile Iteration: A continuous cycle of design, testing, feedback, and refinement.

• User-Centric Design: Simplifying complex workflows into intuitive experiences based on user needs and feedback.

• Cross-Functional Collaboration: Close partnership between design, product, and engineering to ensure cohesive product development.

Company Website: https://digify.com/

📝 Enhancement Note: The "Platform Pod" structure suggests an agile, product-centric team model. This implies a collaborative environment where designers are embedded within feature development teams, working closely with product managers and engineers, which is common in fast-paced SaaS companies focused on rapid GTM.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer, suitable for individuals with 3-6+ years of experience. It offers a significant opportunity for growth beyond traditional design responsibilities into product strategy influence, especially given the emphasis on AI prototyping and direct collaboration with product leadership.

Reporting Structure: The Product Designer will report to the Platform Pod Lead, indicating a direct line of communication and collaboration on feature development. This structure allows for focused work on specific product areas.

Operations Impact: The designer's work directly impacts the Go-To-Market strategy by enabling rapid validation of product features. By reducing uncertainty through functional prototypes and user feedback, this role accelerates the product development cycle, ensuring that the company is building the right product efficiently. This can lead to faster market entry, better product-market fit, and a more competitive offering.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-powered design tools and advanced prototyping techniques.

• Product Strategy Influence: Grow into a role where you significantly influence product direction and feature prioritization through rapid validation.

• Leadership Potential: Develop into a Senior Product Designer or Design Lead role, potentially mentoring junior designers and leading design initiatives for larger product areas.

• Cross-Functional Expertise: Gain deeper insights into engineering processes and product management strategies.

📝 Enhancement Note: The role's unique blend of design and rapid prototyping using AI positions it as a high-potential growth area. The emphasis on "helping shape the product" suggests a career path that moves beyond execution to strategic contribution within the GTM framework.

🌐 Work Environment

Office Type: Digify offers a Hybrid work environment. This means a blend of in-office collaboration and remote work flexibility, allowing employees to balance focused work with team interaction.

Office Location(s): The primary location for this role is Singapore. Specific details about the office address and facilities would be provided upon further inquiry or during the interview process. Being based in Singapore provides access to a vibrant tech ecosystem.

Workspace Context:

• Collaborative Spaces: The office environment likely includes collaborative areas designed for team meetings, brainstorming sessions, and cross-functional discussions, crucial for a hybrid model.

• Technology Access: Expect access to modern design tools, reliable internet, and potentially specialized hardware for prototyping and testing.

• Team Interaction: Opportunities for in-person interaction with the Platform Pod Lead, engineering teams, and other colleagues, fostering stronger working relationships and knowledge sharing.

Work Schedule: While a standard 40-hour work week is typical, the hybrid nature and focus on output suggest a degree of flexibility. Employees are expected to manage their time effectively to meet project deadlines and collaborate with team members across different schedules.

📝 Enhancement Note: The hybrid nature of the work environment in Singapore is a key consideration. Candidates should be prepared for a mix of in-office and remote work, requiring strong self-management and communication skills to maintain productivity and team cohesion.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Technical Interview: A deep dive into your portfolio, focusing on AI-built prototypes, design process, and problem-solving skills. You may be asked to walk through specific case studies.

• Design Challenge/Exercise: A practical exercise, potentially involving rapid prototyping using AI tools or a case study analysis, to evaluate your skills in action. This may be timed.

• Cross-Functional Interviews: Meetings with the Platform Pod Lead, engineers, and potentially other stakeholders to assess collaboration style and technical understanding.

• Final Interview: A discussion with senior leadership to confirm alignment with company culture, values, and long-term vision.

Portfolio Review Tips:

• Highlight AI Prototypes: Dedicate a significant portion of your portfolio to projects where you used AI tools (like Claude Design) to build functional prototypes. Clearly explain the AI tools used, the process, and the outcomes.

• Showcase Process: For each project, detail your problem-solving approach, user research findings, design decisions, and how you iterated based on feedback. Use visuals like user flows, wireframes, and interactive prototypes.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., improved conversion rates, reduced task completion time, positive user feedback scores).

• Tailor to Digify: Research Digify's product and target audience. Frame your portfolio examples to show how your skills can address their specific challenges in security and data rooms.

• Clarity and Conciseness: Ensure your portfolio is well-organized, easy to navigate, and clearly articulates your contributions and impact.

Challenge Preparation:

• AI Prototyping Practice: Familiarize yourself thoroughly with AI prototyping tools relevant to the role (Claude Design). Practice creating interactive prototypes quickly.

• Workflow Simplification: Be prepared to discuss how you would simplify complex B2B workflows into user-friendly interfaces.

• Technical Collaboration: Understand how to effectively communicate with engineers regarding technical constraints and implementation details. Be ready to discuss your HTML, CSS, and JavaScript knowledge.

• User Testing Methodology: Prepare to explain your approach to conducting user interviews and usability tests, and how you synthesize feedback.

📝 Enhancement Note: The emphasis on "AI-built prototypes" and "functional prototypes" in the portfolio and interview process is paramount. Candidates must be able to demonstrate tangible, working examples created with AI tools, not just theoretical concepts or static mockups.

🛠 Tools & Technology Stack

Primary Tools:

• AI Prototyping: Claude Design (explicitly mentioned), or similar AI-driven prototyping platforms.

• Design & Prototyping: Figma (mentioned as helpful, but not the primary focus), Sketch, Adobe XD.

• User Research & Testing: Tools for conducting usability tests, user interviews, and feedback collection (e.g., UserTesting.com, Maze, Hotjar).

• Design Systems: Tools for managing and contributing to component libraries.

Analytics & Reporting:

• Familiarity with product analytics tools (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and inform design decisions.

• Ability to interpret data related to feature usage, user engagement, and conversion funnels. CRM & Automation:

• While not directly a CRM role, understanding how product design impacts user onboarding and engagement within a SaaS platform is crucial.

• Awareness of automation tools that might integrate with the product or support the design workflow.

• Understanding of web technologies like HTML, CSS, and JavaScript is essential for prototyping and collaboration.

📝 Enhancement Note: The explicit mention of "Claude Design" as an AI tool for prototyping is a critical keyword. Candidates should be prepared to discuss their experience with this or comparable AI-powered design and prototyping technologies.

👥 Team Culture & Values

Operations Values:

• Innovation & Efficiency: A strong drive to leverage new technologies like AI to accelerate product development and improve efficiency.

• User-Centricity: A commitment to understanding and solving user problems by creating intuitive and simple experiences, especially for complex B2B functionalities.

• Collaboration & Ownership: A culture where individuals take ownership of their work, partner effectively across teams, and contribute to shared goals.

• Data-Driven Decisions: Utilizing user feedback, analytics, and prototype testing to inform design choices and product direction.

• Agility & Adaptability: Embracing a fluid work environment where roles can evolve and learning new tools and methodologies is encouraged.

Collaboration Style:

• Cross-Functional Integration: Close working relationships with Platform Pod Leads and engineering teams, fostering a shared understanding of product goals.

• Prototyping as Communication: Using functional prototypes as a primary means of communication and validation, reducing ambiguity in design handoffs.

• Feedback-Oriented: An open environment for giving and receiving constructive feedback, essential for rapid iteration and continuous improvement.

• Knowledge Sharing: Encouraging the sharing of best practices, new tool discoveries (especially in AI design), and design system updates.

📝 Enhancement Note: The company's emphasis on "designing by building" and reducing uncertainty through prototypes points to a culture that values speed, validation, and practical application of design principles, aligning with agile operational methodologies.

⚡ Challenges & Growth Opportunities

Challenges:

• Simplifying Complexity: The core challenge is translating sophisticated security and permission controls into genuinely simple and intuitive user experiences, a common hurdle in enterprise SaaS.

• Rapid AI Tool Evolution: Staying current with the fast-paced advancements in AI design tooling and effectively integrating them into the workflow.

• Balancing Autonomy and Collaboration: Effectively managing a high-autonomy role while ensuring seamless collaboration with product and engineering teams.

• Cross-Functional Alignment: Ensuring that design decisions are well-understood and technically feasible for the engineering team, especially when working with cutting-edge prototyping methods.

Learning & Development Opportunities:

• AI Design Mastery: Becoming a leading expert in AI-powered prototyping and its application in product design.

• Product Strategy Impact: Gaining significant influence on product direction and feature prioritization through rapid validation.

• Technical Acumen: Deepening understanding of web technologies and engineering processes through close collaboration.

• Industry Trends: Staying at the forefront of design trends, particularly in SaaS, security, and AI applications.

📝 Enhancement Note: The challenge of "simplifying complex security and permission workflows" is a recurring theme, indicating that successful candidates will need strong analytical and problem-solving skills in addition to design proficiency.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI to rapidly prototype a complex feature. What were the challenges, and how did you overcome them?" (Focus on process, AI tool usage, and problem-solving.)

• "How would you approach simplifying a multi-layered permission system into an intuitive user interface for a B2B audience?" (Prepare to discuss workflow simplification, user flows, and IA.)

• "Walk me through your process for taking a feature decision from concept to a testable prototype, and then collaborating with engineers for implementation." (Emphasize your end-to-end design thinking and collaboration.) Company & Culture Questions:

• "What excites you about Digify's mission and its role in document security?" (Research Digify's product, market position, and values.)

• "How do you approach working in a hybrid environment and collaborating with remote and in-office team members?" (Discuss your communication and self-management strategies.)

• "How do you stay updated on advancements in AI design tools and incorporate them into your workflow?" (Highlight your proactive learning and adaptability.) Portfolio Presentation Strategy:

• AI Prototype Showcase: Begin with your strongest AI-built prototype examples. Clearly articulate the problem, your solution, the AI tools used, and the outcomes.

• Process Storytelling: For each case study, guide the interviewer through your thought process, design decisions, and iterations. Use visuals effectively.

• Metric-Driven Impact: Quantify achievements wherever possible. If direct metrics aren't available, use qualitative feedback or projected impact.

• Technical Clarity: Be prepared to discuss the technical aspects of your prototypes and how they relate to potential engineering implementation (HTML, CSS, JS).

• Q&A Preparedness: Anticipate questions about your design philosophy, collaboration style, and how you handle ambiguity.

📝 Enhancement Note: For the "Design Challenge/Exercise," candidates should be prepared for a task that likely involves rapid AI-powered prototyping. Practicing with tools like Claude Design and focusing on speed and functionality will be crucial.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Workable.

• Curate Your Portfolio: Ensure your portfolio prominently features projects demonstrating AI-powered prototyping (e.g., using Claude Design). Highlight your process for simplifying complex workflows and your user testing methodologies.

• Tailor Your Resume: Optimize your resume to include keywords such as "Product Designer," "AI Prototyping," "SaaS," "UX/UI Design," "Claude Design," "Figma," "HTML," "CSS," and "JavaScript," emphasizing your experience with B2B applications and enterprise software.

• Prepare Your Case Studies: Practice presenting your portfolio case studies, focusing on the problem, your unique approach, the AI tools used, the outcomes, and lessons learned. Be ready to discuss your technical collaboration skills.

• Research Digify: Gain a deep understanding of Digify's product, its target market (fundraising, M&A, due diligence), and its competitive landscape. Articulate how your design skills can contribute to their specific GTM objectives.

⚠️ 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.