Product Designer (AI Prototyping) - 202609
📍 Job Overview
Job Title: Product Designer (AI Prototyping)
Company: Digify
Location: Singapore, South West, Singapore
Job Type: FULL_TIME
Category: Product Design / UX/UI Design
Date Posted: August 26, 2026
Experience Level: Mid-Level (3-6+ years)
Remote Status: Hybrid (with potential for remote flexibility)
🚀 Role Summary
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This role focuses on hands-on product design, emphasizing the rapid creation of functional, AI-built prototypes to validate product decisions and user experiences.
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The Product Designer will be instrumental in simplifying complex security and permission workflows into intuitive, browser-native interfaces for a cloud-based document security and virtual data room platform.
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A key aspect involves close collaboration with the Platform Pod Lead, transforming feature decisions into interactive prototypes for user testing and iterative design refinement.
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The position requires a strong understanding of end-to-end product thinking, from discovery and interaction design to information architecture, with a significant emphasis on leveraging modern AI design tooling.
📝 Enhancement Note: The job description strongly emphasizes a "design by building" philosophy, indicating a preference for candidates who are proactive in creating tangible prototypes rather than solely focusing on static mockups. The "Hybrid" work arrangement, combined with the Singapore location and the company's global reach, suggests a flexible approach to work, likely involving a mix of in-office collaboration and remote work. The emphasis on AI prototyping tools like Claude Design positions this as a forward-thinking role in the design space.
📈 Primary Responsibilities
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Partner closely with the Platform Pod Lead to translate abstract feature decisions into concrete UX flows and interactive, working prototypes.
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Utilize advanced AI prototyping tools (e.g., Claude Design) to rapidly build realistic and testable prototypes that users can directly interact with.
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Design and simplify complex security features, permission controls, and data room functionalities into user-friendly, intuitive, and browser-native experiences.
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Conduct lightweight user interviews and usability tests, effectively gathering and incorporating feedback to drive rapid design iterations and improvements.
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Develop comprehensive design artifacts including user flows, wireframes, high-fidelity interfaces, and production-ready UI components.
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Collaborate closely with engineering teams throughout the development lifecycle, ensuring the final shipped product accurately reflects the intended user experience and design specifications.
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Contribute to the continuous improvement and evolution of the company's design system and reusable UI component library.
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Stay abreast of emerging interaction patterns, modern design methodologies, and advancements in AI-powered design tooling to maintain a cutting-edge approach.
📝 Enhancement Note: The responsibilities highlight a significant emphasis on rapid prototyping and user validation before extensive engineering commitment. This suggests a product development process that prioritizes iterative design and early feedback loops, a common practice in fast-paced SaaS environments. The expectation to "simplify complex security and permission workflows" indicates a need for strong problem-solving skills in a technically intricate domain.
🎓 Skills & Qualifications
Education: While no specific degree is mandated, a strong portfolio demonstrating practical application of design principles and tool proficiency is paramount. Candidates with degrees in Design, Human-Computer Interaction, Computer Science, or related fields may have a foundational advantage.
Experience: 3–6+ years of professional experience in designing SaaS or web applications.
Required Skills:
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Proven ability to build functional, interactive prototypes using AI tools, specifically mentioning Claude Design as a current capability.
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Strong end-to-end product thinking, encompassing discovery, interaction design, and information architecture.
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Demonstrated skill in simplifying complex, multi-step workflows into intuitive user experiences.
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Solid understanding of front-end technologies including HTML, CSS, and JavaScript, enabling credible collaboration with engineers and effective browser-based prototyping.
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Experience in conducting lightweight user testing and translating user insights into actionable design decisions.
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Excellent communication skills, with the ability to articulate design choices backed by user insights, data, and product objectives.
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High degree of autonomy, comfort with ambiguity, and the ability to drive initiatives forward with minimal supervision. Preferred Skills:
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Experience designing enterprise or B2B products, particularly within complex or security-sensitive domains.
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Familiarity with design systems and component libraries, contributing to consistency and efficiency.
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Understanding of accessibility standards and responsive design principles.
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Previous experience working closely with engineering teams in an agile SaaS development environment.
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Proficiency with Figma for UI design and component creation, though not the primary focus for prototyping.
📝 Enhancement Note: The emphasis on AI prototyping tools, specifically Claude Design, is a critical differentiator. Candidates must demonstrate current proficiency, not just theoretical interest. The requirement for HTML, CSS, and JavaScript understanding suggests a "full-stack" design approach where designers can bridge the gap between design and implementation more effectively.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase a minimum of 3-6+ years of design experience, with a strong focus on SaaS or web applications.
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Crucially, include detailed case studies demonstrating the creation of functional, AI-built prototypes using tools like Claude Design.
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Examples should illustrate end-to-end product thinking, from initial problem definition and user research to final design implementation and iteration.
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Highlight instances where complex workflows were simplified into intuitive user experiences.
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Demonstrate collaboration with engineering teams and the impact of design decisions on shipped products. Process Documentation:
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Case studies should detail the design process, including discovery, ideation, prototyping, user testing, and iteration phases.
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Explicitly outline the role and impact of AI tools in the prototyping and validation stages.
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Showcase how user feedback and data were integrated to refine designs and product direction.
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Include examples of contribution to or utilization of design systems and reusable UI components.
📝 Enhancement Note: The portfolio is the primary evaluation tool. It must clearly demonstrate proficiency with AI prototyping tools and the ability to translate complex product decisions into tangible, testable prototypes. Candidates should be prepared to walk through their process, focusing on the "how" and "why" behind their design choices and the impact of their work.
💵 Compensation & Benefits
Salary Range: Given the mid-level experience requirement (3-6+ years), the Singapore location, and the specialized AI prototyping skill, a competitive salary is expected. For a Product Designer with these skills in Singapore, the estimated annual salary range would typically fall between SGD 70,000 to SGD 110,000, depending on the depth of AI prototyping experience and overall qualifications.
Benefits:
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Competitive salary and potential for equity or performance bonuses.
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Comprehensive health insurance, including medical, dental, and vision coverage.
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Generous paid time off (PTO), including vacation days, sick leave, and public holidays.
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Opportunities for professional development, including training, workshops, and conference attendance, with a focus on AI design tools and methodologies.
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Flexible hybrid work arrangement, balancing in-office collaboration with remote work flexibility.
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Access to modern design tools and technologies, including cutting-edge AI prototyping software.
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Potential for involvement in shaping product strategy and design direction within a growing SaaS company.
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Global team collaboration and exposure to diverse markets and user needs.
Working Hours: Standard full-time working hours are expected, likely around 40 hours per week. The hybrid work arrangement offers flexibility in structuring the work week, with core hours likely established for team collaboration and meetings.
📝 Enhancement Note: The salary estimate is based on industry benchmarks for Product Designers in Singapore with 3-6+ years of experience, with a premium added for the specialized AI prototyping skill and SaaS experience. Benefits are inferred based on typical offerings for tech companies in this region and role.
🎯 Team & Company Context
🏢 Company Culture
Industry: Software as a Service (SaaS), focusing on Document Security and Virtual Data Rooms. This industry demands a high degree of trust, reliability, and user-centricity, especially concerning sensitive data.
Company Size: Digify is a well-established company with a significant user base (over 800,000 professionals in 138 countries), indicating a mid-to-large stage company with a global presence and mature product. The exact employee count isn't specified, but the scale suggests a well-resourced and structured organization.
Founded: While the founding date isn't explicitly provided, the company's established user base and global reach suggest it has been operating for several years, likely past its startup phase and into a growth or expansion stage.
Team Structure:
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The Product Designer will be part of a "Platform Pod," which implies a cross-functional, agile team structure. This pod likely includes a Platform Pod Lead (who owns feature decisions) and engineers.
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Collaboration is expected to be close with the Platform Pod Lead, indicating a direct working relationship where design decisions are influenced by product strategy and vice versa.
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The role emphasizes fluidity, with designers influencing product direction and product shaping design, suggesting a collaborative and integrated product development culture. Methodology:
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The company emphasizes a "design by building" and rapid prototyping approach, using AI tools to validate ideas before committing significant engineering resources.
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User feedback and iterative testing are core to the design process, ensuring that complex problems are solved through user-centric solutions.
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Agile methodologies are likely employed, given the "Pod" structure and close collaboration with engineering.
Company Website: https://digify.com
📝 Enhancement Note: The company culture appears to value autonomy, rapid iteration, and a hands-on approach to product development. The "Platform Pod" structure indicates a move towards agile, cross-functional teams focused on specific product areas. The emphasis on AI tools suggests a forward-thinking and innovative mindset.
📈 Career & Growth Analysis
Operations Career Level: This role is positioned as a mid-level Product Designer (3-6+ years experience). It offers significant autonomy and the opportunity to influence product direction, moving beyond purely executing design tasks to actively shaping the product.
Reporting Structure: The Product Designer will partner closely with the Platform Pod Lead, who is responsible for feature decisions. This suggests a direct reporting line or a very close working relationship within the Platform Pod, with potential for broader reporting to a Head of Product or Design Lead within the organization.
Operations Impact: The designer's work directly impacts the usability and security of Digify's core product, influencing customer adoption, retention, and satisfaction. By simplifying complex security features, the designer contributes to the product's competitive advantage and market positioning, ultimately driving business growth and revenue.
Growth Opportunities:
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Skill Specialization: Deepen expertise in AI-powered design tools and advanced prototyping techniques, becoming a subject matter expert.
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Product Influence: Grow into a more senior role with increased responsibility for product strategy and design direction, potentially leading design initiatives for new features or product areas.
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Cross-functional Leadership: Develop stronger collaboration and communication skills to influence product roadmaps and engineering priorities more broadly.
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Design System Evolution: Take a leading role in expanding and refining the company's design system, impacting design consistency and efficiency across the product.
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Mentorship: As experience grows, opportunities may arise to mentor junior designers and contribute to the growth of the design team.
📝 Enhancement Note: This role offers a unique opportunity for designers to have a direct impact on product strategy and development velocity by leveraging AI prototyping. Growth is likely tied to the designer's ability to deliver validated product solutions quickly and influence cross-functional teams.
🌐 Work Environment
Office Type: The role is advertised as "Hybrid," suggesting a blend of remote work and in-office collaboration. The specific arrangement for Singapore likely involves regular team days in a physical office space, with flexibility for remote work on other days.
Office Location(s): The primary location is Singapore, South West, Singapore. This indicates a physical office presence in Singapore where hybrid work will take place.
Workspace Context:
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The environment is described as high-autonomy and fluid, encouraging independent work and proactive problem-solving.
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Close collaboration with engineers and product leadership is a key feature, fostering a team-oriented atmosphere focused on shared product goals.
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Access to modern design tools, including advanced AI prototyping software, is provided to facilitate efficient and innovative design processes.
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The company's focus on SaaS and global reach suggests a dynamic and potentially fast-paced work environment.
Work Schedule: Standard full-time working hours (approximately 40 hours per week) are expected. The hybrid model allows for flexibility in daily scheduling, provided core collaboration times are met. This flexibility can be beneficial for operations professionals who need to balance deep work with team syncs.
📝 Enhancement Note: The hybrid nature of the role in Singapore suggests a modern work environment that balances flexibility with the need for in-person collaboration, which is crucial for design and product development teams.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess qualifications, particularly AI prototyping experience.
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Portfolio Presentation & Discussion: You will likely present your portfolio, focusing on 1-2 key projects that showcase your AI prototyping skills, end-to-end product thinking, and ability to simplify complex workflows. Be prepared to discuss your process, user insights, and the impact of your designs.
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Technical/Skills Assessment: A practical exercise or deep dive into your understanding of HTML, CSS, and JavaScript, and how you leverage them in prototyping. This might involve a take-home challenge or an in-interview discussion.
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Team/Culture Fit Interview: Conversations with the Platform Pod Lead and potentially other team members to assess your collaboration style, autonomy, comfort with ambiguity, and alignment with Digify's values.
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Final Interview: Possibly with senior leadership to discuss strategic fit and long-term contributions.
Portfolio Review Tips:
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Highlight AI Prototypes: Ensure your portfolio prominently features AI-built prototypes (e.g., from Claude Design). Clearly articulate the problem, your solution, the tools used, and the outcomes.
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Showcase Process, Not Just Polish: Detail your design process, including user research, ideation, iteration based on feedback, and collaboration with engineering. Demonstrate how you simplify complexity.
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Quantify Impact: Where possible, use metrics to demonstrate the success of your designs, such as improvements in user task completion rates, reduction in support queries, or positive feedback from user testing.
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Tailor to the Role: Emphasize projects that align with SaaS, B2B, or security-sensitive domains. Clearly articulate your understanding of building intuitive experiences for complex functionalities.
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Be Ready to Discuss Technicals: Prepare to discuss your understanding of HTML, CSS, and JavaScript and how you apply them in your design and prototyping workflow.
Challenge Preparation:
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Prototyping Focus: If a challenge is given, expect it to involve designing a solution for a complex workflow and potentially creating a functional prototype. Focus on rapid iteration and validation.
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Problem Simplification: Practice breaking down complex problems into manageable parts and designing clear, intuitive solutions.
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AI Tool Application: Be ready to explain how you would leverage AI tools to accelerate the design and validation process for a given problem.
📝 Enhancement Note: The interview process will heavily scrutinize AI prototyping skills and practical application. Candidates should prepare to demonstrate their ability to create tangible, testable prototypes quickly and articulate the value this brings to the product development lifecycle.
🛠 Tools & Technology Stack
Primary Tools:
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AI Prototyping: Claude Design (mandatory proficiency), potentially other AI-assisted design tools.
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UI Design & Wireframing: Figma (proficient, though AI prototyping is the focus), potentially Sketch or Adobe XD.
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Prototyping (Beyond AI): Tools that allow for interactive flows and user testing.
Analytics & Reporting:
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While not explicitly mentioned for the designer role, familiarity with product analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) is beneficial for understanding user behavior and informing design decisions. CRM & Automation:
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Not directly relevant to the core design responsibilities, but understanding how CRM systems (like Salesforce) and marketing automation tools impact the user journey can provide valuable context for B2B SaaS design. Development Collaboration:
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Version Control: Understanding of Git or similar for collaboration with engineers.
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Familiarity with Web Technologies: HTML, CSS, JavaScript are essential for understanding implementation constraints and collaborating effectively with developers.
📝 Enhancement Note: The emphasis on AI prototyping tools like Claude Design is paramount. Proficiency in Figma is helpful but secondary to demonstrated skill with AI-driven prototyping. Understanding web technologies is critical for effective collaboration with engineering.
👥 Team Culture & Values
Operations Values:
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Innovation & Experimentation: A willingness to explore and adopt new technologies, especially AI tools, to improve design processes and product outcomes.
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User-Centricity: A deep commitment to understanding user needs and translating them into intuitive, effective solutions, even for complex security features.
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Efficiency & Speed: A focus on rapid iteration, validation, and delivering working prototypes quickly to accelerate product development and reduce uncertainty.
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Collaboration & Ownership: A culture where team members take ownership of their work, collaborate closely across functions, and influence product direction.
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Simplicity: A drive to distill complexity into clear, understandable, and elegant user experiences.
Collaboration Style:
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Cross-functional Integration: Designers work intimately with Product Leads and Engineers, forming integrated "Pods" to drive feature development.
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Open Communication: Encouragement of direct communication, feedback exchange, and shared decision-making within the team.
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Proactive Engagement: Designers are expected to be proactive in sharing their work, seeking feedback, and contributing to product strategy, rather than waiting for direction.
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Agile Mindset: Embracing iterative development, adapting to feedback, and continuously refining designs and processes.
📝 Enhancement Note: The company values a proactive, collaborative, and innovative approach, particularly in embracing new technologies like AI for design. Designers are expected to be integral parts of the product team, not just implementers of specifications.
⚡ Challenges & Growth Opportunities
Challenges:
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Simplifying Complexity: The core challenge lies in making powerful, intricate security and permission controls easily understandable and usable for a broad range of users.
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Rapid Prototyping with AI: Mastering and effectively applying AI tools for rapid, functional prototyping requires continuous learning and adaptation as the technology evolves.
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Balancing Autonomy and Collaboration: Effectively managing a high-autonomy role while ensuring tight alignment with product strategy and engineering constraints.
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Bridging Design and Code: Maintaining a strong understanding of HTML, CSS, and JavaScript to facilitate seamless collaboration with engineers and ensure feasibility of designs.
Learning & Development Opportunities:
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AI Design Tool Mastery: Becoming a leading expert in AI-powered design and prototyping tools.
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Product Strategy Influence: Gaining experience in shaping product roadmaps and contributing to strategic product decisions.
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Deep Domain Expertise: Developing a strong understanding of document security, virtual data rooms, and enterprise B2B SaaS products.
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Cross-functional Skill Development: Enhancing skills in user research, usability testing, and stakeholder communication.
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Design System Contribution: Playing a key role in the evolution and expansion of the company's design system.
📝 Enhancement Note: The primary growth path involves becoming a highly skilled AI design practitioner who can significantly accelerate product development through rapid prototyping and validation, while also contributing to strategic product decisions.
💡 Interview Preparation
Strategy Questions:
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"Describe a complex workflow you've simplified into an intuitive user experience. What was your process, and how did you validate it?" (Focus on your design process, user-centricity, and validation methods.)
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"How have you used AI tools, like Claude Design, to accelerate your design process or validate product ideas? Walk us through a specific example." (This is critical; be ready to showcase AI-built prototypes and explain their impact.)
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"Imagine our Platform Pod Lead gives you a new feature decision for granular permissions. How would you approach translating that into a testable prototype?" (Demonstrate your understanding of the role's core responsibilities and your problem-solving approach.) Company & Culture Questions:
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"What interests you about Digify's mission and our focus on document security?" (Research Digify's product and market position.)
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"How do you approach working in a high-autonomy, fluid role? How do you ensure alignment with team goals?" (Highlight your proactive nature and collaboration skills.)
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"How do you stay current with advancements in AI design tools and interaction patterns?" (Show your commitment to continuous learning.) Portfolio Presentation Strategy:
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Start with the Problem & Your Role: Clearly define the user problem or business need and your specific contribution.
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Showcase the AI Prototype: Dedicate significant time to demonstrating your AI-built prototypes. Explain the tool used, the interactive elements, and how it helped validate the design.
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Detail the Process: Walk through your end-to-end design process, emphasizing user research, iteration based on feedback, and collaboration.
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Quantify Impact: If possible, present metrics that show the success or learning derived from your design solutions.
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Explain Technical Collaboration: Discuss how you worked with engineers and how your understanding of HTML/CSS/JS informed your design.
📝 Enhancement Note: Prepare to demonstrate hands-on skills with AI prototyping tools. Your portfolio should be the centerpiece, and you should be ready to discuss your process, decision-making, and the tangible outcomes of your work with confidence.
📌 Application Steps
To apply for this Product Designer position:
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Submit your application through the provided Workable link.
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Portfolio Customization: Curate your portfolio to prominently feature 1-2 projects that best showcase your AI prototyping skills (especially with Claude Design), your ability to simplify complex workflows, and your end-to-end product thinking. Ensure these projects highlight your experience with SaaS or web applications.
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Resume Optimization: Tailor your resume to emphasize your 3-6+ years of experience in SaaS/web application design, your proficiency with AI design tools, your understanding of HTML/CSS/JavaScript, and any experience with B2B or security-sensitive products. Use keywords from the job description.
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Interview Preparation: Practice presenting your portfolio, focusing on articulating your design process, the use of AI tools, user insights, and the impact of your work. Prepare to discuss your understanding of complex workflow simplification and collaboration with engineers.
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Company Research: Thoroughly research Digify, its product (virtual data rooms, document security), target market, and company culture. Understand their value proposition and how your skills can contribute to their mission.
⚠️ 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.
Application Requirements
Candidates must have 3–6+ years of experience designing SaaS or web applications with a proven ability to build functional prototypes using AI tools. Strong end-to-end product thinking and proficiency in HTML, CSS, and JavaScript are essential for this role.