Design Technologist, AI (REMOTE)

📍 Job Overview

Job Title: Design Technologist, AI (REMOTE) Company: Jobgether (Partner Company) Location: New Jersey, United States Job Type: Full-time Category: Design Technology / AI Prototyping Date Posted: February 11, 2026 Experience Level: 2-5 Years Remote Status: Fully Remote

🚀 Role Summary

• Design and develop advanced, AI-powered prototypes that enhance personalized user experiences by integrating user-centered design principles with real customer data.
• Leverage technical prototyping skills with technologies like TypeScript and React to build functional and dynamic simulations of AI-driven product concepts.
• Automate prototype assembly and personalization using scripting and AI tools, while also simulating predictive insights and complex data flows.
• Collaborate cross-functionally with Product Design, Engineering, and User Research teams to ensure prototype alignment, scalability, and valuable user feedback capture.

📝 Enhancement Note: This role is described as a "Design Technologist, AI" and is posted by Jobgether on behalf of a partner company. The core focus is on bridging UX design with technical implementation, specifically for AI-driven product concepts. This suggests a role that requires a blend of creative problem-solving, front-end development proficiency, and an understanding of AI's potential in product design. The remote nature and location in New Jersey indicate a primary geographic focus for potential candidates or legal/tax compliance.

📈 Primary Responsibilities

• Integrate Figma designs and real customer data into functional, scenario-specific prototypes, ensuring fidelity and realism.
• Utilize scripting and AI tools to automate the assembly of prototypes and generate personalized variations for diverse user roles.
• Develop sophisticated logic within prototypes to simulate predictive insights and complex data flows, demonstrating AI capabilities.
• Build experimental prototypes that specifically showcase personalized AI features and their impact on user journeys.
• Design and collaborate on user testing protocols with User Research to capture critical interactions and feedback on AI-driven experiences.
• Develop and maintain internal tools to streamline prototype generation and accelerate experimentation cycles.
• Create detailed implementation plans and provide clear technical specifications for Engineering teams to ensure scalable deployment of validated concepts.
• Continuously evaluate emerging frameworks, tools, and AI technologies to enhance prototype realism, interactivity, and overall performance.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to prototype development with a strong emphasis on AI integration and data-driven personalization. The need to "automate prototype generation" and "develop internal tools" suggests a proactive and innovative mindset, aiming to improve efficiency within the design and research process. Collaboration with User Research and Engineering underscores the role's critical function in validating product concepts and facilitating their transition to production.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's degree in Computer Science, Design, Human-Computer Interaction, or a related field is typically expected for roles requiring this blend of technical and design expertise. Equivalent practical experience will also be considered.

Experience:

• Minimum of 4 years of experience in a front-end engineering, creative technologist, interactive designer, or similar role focused on digital product development.
• At least 2 years of hands-on experience building interactive prototypes using modern front-end technologies such as TypeScript or React.

Required Skills:

• Proficiency in front-end development languages and frameworks, specifically TypeScript and React.
• Strong understanding and practical application of user-centered design principles and best practices.
• Expertise in integrating APIs and working effectively with JSON data structures for dynamic content.
• Demonstrated knowledge of scripting and automation techniques for design workflows and data integration.
• Familiarity with design tools, particularly Figma, and an understanding of design system concepts.
• Experience leveraging AI tools for workflow automation, dynamic UI generation, and enhancing prototype capabilities.
• Ability to translate complex design requirements into functional, testable, and realistic prototype flows.
• Excellent collaboration and communication skills for working with cross-functional teams.

Preferred Skills:

• Experience with advanced AI/ML concepts relevant to user experience personalization.
• Familiarity with cloud platforms (AWS, Azure, GCP) for potential prototype deployment or data handling.
• Knowledge of accessibility standards (WCAG) and their implementation in prototypes.
• Experience with A/B testing frameworks for prototype validation.
• Understanding of data privacy and security considerations when working with customer data.

📝 Enhancement Note: The requirements clearly indicate a need for a hybrid skillset. The 4+ years of front-end experience combined with 2+ years in prototyping, specifically with TypeScript/React, points towards a mid-level to senior technologist. The emphasis on AI tools, scripting, and API integration suggests a role that is at the forefront of modern product development practices.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a strong portfolio showcasing at least 2-3 significant projects involving the creation of interactive prototypes, ideally with a focus on dynamic or data-driven experiences.
• Include case studies that detail the problem statement, your approach to solving it through prototyping, the technologies used, and the impact or insights gained.
• Highlight examples where you've integrated real or simulated data into prototypes to test specific user interactions or product features.
• Showcase projects where you've utilized scripting, automation, or AI tools to enhance the efficiency or realism of your prototyping process.
• Provide evidence of collaboration with design or engineering teams, illustrating your ability to translate concepts into functional prototypes and communicate technical requirements.

Process Documentation:

• Be prepared to discuss your personal workflow for developing prototypes, from initial design handoff to final testing and iteration.
• Describe your methods for documenting prototype logic, data structures, and API integrations to ensure clarity for cross-functional teams.
• Explain how you measure the success or effectiveness of your prototypes, including user feedback mechanisms and data analysis.

📝 Enhancement Note: For a "Design Technologist, AI" role, a portfolio is paramount. It should not just showcase visual design or basic interactivity, but the ability to build functional simulations using code and data. Evidence of automating processes or leveraging AI within the prototyping workflow will be a significant differentiator.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Design Technologists with 2-5 years of experience in the New Jersey area, a competitive salary range is estimated to be between $100,000 and $140,000 annually. This estimate considers the specialized nature of AI integration, the remote work arrangement, and the demand for hybrid technical/design skills.

Benefits:

• Comprehensive Health Insurance Plans: Including medical, dental, and vision coverage options for employees and potentially dependents.
• Competitive Compensation Package: Featuring a base salary, potential bonuses, and equity options (stock options or grants), reflecting the value of specialized technical talent.
• Flexible Time Off Policies: Allowing for a healthy work-life balance, with a generous approach to vacation, personal days, and sick leave.
• Paid Holidays: Standard national holidays observed.
• Wellness Stipends: Financial support for employee well-being initiatives, such as gym memberships, fitness classes, or mental health resources.
• Mental Health Support: Access to counseling services, employee assistance programs (EAPs), or mental wellness platforms.
• Continuous Learning Opportunities: Encouragement and funding for professional development, including courses, workshops, and certifications.
• Professional Development Funding: Allocated budget for acquiring new skills relevant to design technology and AI.
• Charitable Matching Gifts: Company contributions to employee donations to eligible non-profit organizations.
• Paid Volunteer Time: Opportunities to contribute to the community with paid time off for volunteer activities.
• Team-Building Events & Appreciation Programs: Initiatives to foster a strong team culture and recognize employee contributions.

Working Hours: This is a full-time position, typically requiring approximately 40 hours per week. The remote nature may offer some flexibility in daily scheduling, but core collaboration hours will likely be established.

📝 Enhancement Note: The provided benefits are comprehensive and align with what is expected for a competitive tech role, especially one that is fully remote. The inclusion of equity options and professional development funding indicates an investment in employee growth and long-term commitment. The salary range is an estimation based on standard industry data for similar roles and regions.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the technology sector, likely focusing on software development, AI solutions, or digital product innovation. The specific niche would influence the pace and nature of their operations. Company Size: As Jobgether is posting this on behalf of a partner, the company size is not explicitly stated. However, the need for a Design Technologist with 4+ years of experience suggests a company that is established enough to invest in advanced prototyping and AI innovation, likely a mid-sized to larger tech company or a well-funded startup. Founded: The founding date is not provided, but the focus on AI and advanced prototyping implies a company that is either a modern tech enterprise or one that has evolved to incorporate cutting-edge technologies.

Team Structure:

• The Design Technologist will likely be part of a Product Design team, working closely with UX Designers, UI Designers, and Product Managers.
• There will be a strong reporting relationship and day-to-day collaboration with the Engineering team (front-end and potentially back-end/AI specialists).
• Close partnership with User Research is essential for validating prototypes and gathering user feedback.

Methodology:

• Data-Driven Iteration: Prototypes are built and tested with real customer data to validate AI concepts and refine user experiences based on empirical evidence.
• Agile Prototyping: Employing iterative development cycles for prototypes, allowing for rapid testing, feedback incorporation, and refinement.
• Cross-Functional Collaboration: A strong emphasis on open communication and joint problem-solving between design, engineering, and product teams to ensure alignment and successful implementation.
• Innovation through Experimentation: Encouraging the exploration of new technologies and tools, particularly in AI, to push the boundaries of product design and user interaction.

Company Website: [Company Website URL would ideally be provided here. For now, it's assumed to be a partner of Jobgether.]

📝 Enhancement Note: The "AI" focus in the job title and responsibilities strongly suggests a company that is either developing AI products or integrating AI into existing platforms. This implies a culture that values innovation, technical expertise, and a forward-thinking approach to product development.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level to senior Design Technologist. It requires a solid foundation in front-end development and prototyping, coupled with specialized knowledge in applying AI to enhance user experiences. The responsibilities suggest a degree of autonomy and the ability to drive innovation within the design and development lifecycle.

Reporting Structure: The Design Technologist will likely report to a Design Lead, Head of Design, or potentially a Director of Product, depending on the company's organizational structure. They will work closely with cross-functional teams, including Product Managers, UX Designers, and Software Engineers.

Operations Impact: This role has a direct impact on the company's ability to innovate and validate new product features, particularly those leveraging AI. By creating realistic prototypes, the Design Technologist helps de-risk product investments, gather crucial user insights early in the development cycle, and accelerate the path to market for AI-driven solutions. Their work directly informs product strategy and contributes to delivering personalized and effective user experiences.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven design, advanced prototyping techniques, and specific AI frameworks, becoming a subject matter expert.
• Leadership: Transition into a lead technologist role, mentoring junior team members, defining prototyping standards, and influencing technical direction.
• Cross-Functional Mobility: Move into related roles such as Senior Front-End Engineer, Product Manager focusing on AI features, or even a Research Scientist position if further academic or research-oriented development is pursued.
• Tool Development: Lead the development and adoption of internal tools and platforms that enhance the company's prototyping and AI experimentation capabilities.

📝 Enhancement Note: The "AI" specialization offers a distinct growth path in a rapidly evolving field. The blend of design and technical skills makes this candidate profile highly versatile and valuable for companies pushing the envelope in user experience.

🌐 Work Environment

Office Type: While the role is fully remote, the partner company likely maintains a modern office environment for its core employees. This remote opportunity suggests a company that embraces distributed workforces and supports employees working from home effectively.

Office Location(s): The role is listed as being in New Jersey, United States. This may indicate that the company has a physical presence there and is looking for candidates within a similar time zone for collaboration, or it could be a legal/tax requirement for remote employees.

Workspace Context:

• Remote Collaboration: Expect a highly collaborative virtual environment, utilizing tools like Slack, Zoom, Figma, and project management software.
• Tech-Centric: Access to cutting-edge design and development tools, including AI platforms and prototyping software, will be essential.
• Innovation Hub: Work within a team that is at the forefront of integrating AI into product design, fostering an environment of continuous learning and experimentation.
• Autonomy and Trust: A remote setup implies a culture of trust and autonomy, where employees are empowered to manage their time and productivity effectively.

Work Schedule: As a full-time, remote position, the work schedule is likely based on a standard 40-hour work week. However, flexibility in daily hours may be possible, provided that collaboration with team members across different time zones is maintained. Core hours for team meetings and synchronous collaboration will be expected.

📝 Enhancement Note: The remote aspect is a key feature, suggesting a company that is either fully remote-first or has a robust hybrid/remote policy. This environment demands strong self-management, communication skills, and proficiency in remote collaboration tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether): Your application will be processed by Jobgether's AI matching system, followed by a human review to ensure core qualifications are met.
• Hiring Manager Screen: A brief call with the hiring manager to discuss your background, interest in the role, and alignment with the company's mission.
• Technical Interview(s): Deep dives into your front-end development skills (TypeScript, React), prototyping experience, and understanding of APIs and data structures. This may involve live coding sessions or code reviews.
• Portfolio Review & Design Challenge: A dedicated session to present your portfolio, discussing your projects in depth. You may also be given a design challenge or a take-home assignment focused on creating an AI-powered prototype or simulating a specific user flow.
• Cross-Functional Interviews: Meetings with potential team members from Product Design, Engineering, and User Research to assess collaboration style, communication, and cultural fit.
• Final Interview: A concluding discussion, potentially with senior leadership, to finalize the decision.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate how you've used AI tools or principles in your prototyping work. Showcase projects where you've automated processes or generated dynamic UI variations.
• Demonstrate Technical Proficiency: Be ready to walk through the code (or pseudocode/logic) behind your interactive prototypes, explaining your technical choices.
• Showcase Data-Driven Design: Present examples where you've integrated real or simulated data to drive prototype behavior and personalize user experiences.
• Quantify Impact: Where possible, quantify the outcomes of your prototyping efforts (e.g., efficiency gains from automation, insights from user testing, speed of iteration).
• Tell a Story: Frame your projects as narratives, explaining the problem, your unique solution, the challenges you overcame, and the results.

Challenge Preparation:

• Prototype Simulation: Be prepared for challenges that require you to quickly prototype a specific AI-driven feature or user interaction. Focus on demonstrating your process, tool proficiency, and ability to translate concepts into functional logic.
• API & Data Handling: Practice scenarios involving API integrations and data manipulation within a prototyping context.
• Problem Solving: Focus on your ability to break down complex problems, identify key user needs, and devise technical solutions that align with design principles.
• Communication: Practice clearly explaining your technical approach, design rationale, and the potential impact of your solutions to both technical and non-technical stakeholders.

📝 Enhancement Note: The interview process will likely be rigorous, assessing both technical skill and the ability to apply that skill to novel AI-driven product concepts. A strong, relevant portfolio is critical for this role.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping: Figma (for design integration and collaboration), potentially tools like Framer, ProtoPie, or custom React/TypeScript-based frameworks for advanced interactive prototypes.
• Front-End Development: TypeScript, React (essential), HTML5, CSS3.
• Scripting & Automation: Python, JavaScript, or similar for scripting prototype generation, data manipulation, and workflow automation.
• Version Control: Git, GitHub/GitLab/Bitbucket.

Analytics & Reporting:

• While not directly responsible for production analytics, understanding how prototypes can be instrumented for user testing data collection is key. Tools like Amplitude, Mixpanel, or custom analytics might be relevant for capturing user interactions within prototypes.

CRM & Automation:

• Familiarity with CRM concepts (e.g., Salesforce, HubSpot) may be beneficial for understanding how customer data is structured and utilized, though direct CRM administration is unlikely to be a primary responsibility.
• Integration platforms (e.g., Zapier, custom APIs) might be used for connecting various tools in the prototyping workflow.

📝 Enhancement Note: Proficiency in Figma and modern front-end frameworks like React/TypeScript is non-negotiable. The ability to use scripting for automation and integrate APIs is also core. Experience with AI-specific tools or platforms for prototyping will be a significant advantage.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore new technologies, especially AI, and to test novel approaches to user experience design.
• User-Centricity: A deep commitment to understanding user needs and translating them into intuitive, effective, and personalized product experiences.
• Technical Excellence: Maintaining high standards in code quality, performance, and the realism of prototypes developed.
• Collaboration & Transparency: Fostering an environment where open communication, knowledge sharing, and constructive feedback are encouraged across disciplines.
• Data-Driven Decision Making: Relying on user data and empirical evidence to validate concepts and guide the development process.
• Efficiency & Automation: Valuing processes that streamline workflows, reduce manual effort, and accelerate the pace of innovation through automation.

Collaboration Style:

• Integrated Teams: Working seamlessly within cross-functional teams, bridging the gap between design and engineering.
• Proactive Communication: Regularly sharing progress, insights, and challenges with stakeholders through appropriate channels (e.g., Slack, stand-ups, design reviews).
• Feedback Loop: Actively participating in design critiques and code reviews, providing and receiving constructive feedback to improve outcomes.
• Knowledge Sharing: Contributing to a culture of learning by sharing best practices, new tool discoveries, and insights gained from prototyping and AI experimentation.

📝 Enhancement Note: Given the AI focus and the nature of prototyping, the team culture likely values continuous learning, adaptability, and a proactive approach to solving complex problems.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the continuous advancements in AI technology and its applications in UX design requires ongoing learning and adaptation.
• Translating Complex AI Concepts: Effectively demonstrating the value and functionality of sophisticated AI features through prototypes to diverse stakeholders.
• Data Integration Complexity: Working with real or simulated customer data can present challenges related to access, privacy, formatting, and ensuring its relevance to the prototype's goals.
• Balancing Realism and Speed: Striking the right balance between creating highly realistic, data-driven prototypes and the need for rapid iteration and experimentation.
• Cross-Functional Alignment: Ensuring clear understanding and buy-in from both design and engineering teams regarding the technical feasibility and long-term vision of AI-driven features.

Learning & Development Opportunities:

• AI & Machine Learning Fundamentals: Opportunities to deepen understanding of AI algorithms, ML model concepts, and their implications for UX.
• Advanced Prototyping Techniques: Mastering cutting-edge tools and methodologies for building highly interactive and intelligent prototypes.
• Data Science Basics: Gaining foundational knowledge in data analysis, interpretation, and visualization relevant to informing prototype design.
• Industry Conferences & Certifications: Access to events and training focused on AI, UX, and front-end development to stay current with industry trends.
• Mentorship: Potential to learn from senior engineers, designers, and AI specialists within the organization.

📝 Enhancement Note: This role offers significant opportunities for growth in a highly in-demand specialization. The challenges are inherent to working at the cutting edge of technology and product development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI or automation to significantly improve your prototyping workflow. What was the outcome?" (Focus on quantifiable results and your specific contribution.)
• "How would you approach building a prototype to test a new AI-driven recommendation engine for an e-commerce platform? What data would you simulate, and what interactions would you focus on?" (Demonstrate your understanding of AI concepts, data flow, and user-centered design.)
• "Walk us through your process for translating a complex Figma design with dynamic AI-generated elements into a functional prototype. What are the key technical considerations?" (Highlight your technical skills, problem-solving approach, and collaboration with designers.)

Company & Culture Questions:

• "What excites you about the intersection of AI and UX design, and why is this role at our company particularly interesting to you?" (Research the partner company's AI initiatives and product vision.)
• "How do you stay updated on the latest trends in AI and front-end development?" (Showcase your commitment to continuous learning.)
• "Describe your experience working in a remote, collaborative environment. How do you ensure effective communication and contribution?" (Emphasize your self-management and communication skills.)

Portfolio Presentation Strategy:

• Prioritize AI/Automation Projects: Lead with projects that best showcase your AI integration, scripting, or automation skills.
• Deep Dive into Technical Details: Be prepared to discuss the architecture, code snippets (if applicable), and technical challenges of your projects.
• Explain Data Simulation: Clearly articulate how you simulated or integrated data to make prototypes realistic and testable.
• Quantify Impact & Insights: Focus on the outcomes – what did your prototypes achieve? What insights were gained? How did they influence product decisions?
• Tell a Compelling Story: Structure your presentation to clearly communicate the problem, your solution, your role, and the results.

📝 Enhancement Note: The interview will heavily weigh your ability to demonstrate practical application of AI and advanced prototyping techniques. Be ready to articulate your thought process and technical decisions clearly.

📌 Application Steps

To apply for this Design Technologist, AI position:

• Submit your application through the provided Jobgether portal.
• Portfolio Customization: Ensure your portfolio prominently features projects demonstrating AI integration, scripting, data handling, and advanced interactive prototyping. Tailor your resume to highlight the specific skills and experience mentioned in the job description, such as TypeScript, React, Figma, and automation techniques.
• Resume Optimization: Clearly articulate your experience with front-end development (4+ years) and interactive prototyping (2+ years), using keywords from the job description. Quantify achievements where possible.
• Interview Preparation: Practice explaining your portfolio projects, focusing on your technical approach, the role of AI/automation, and the insights gained. Prepare for potential technical challenges related to front-end development and prototyping.
• Company Research: Learn about the partner company's products, their use of AI, and their overall mission to better align your answers and demonstrate genuine interest.

⚠️ 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 or through Jobgether before making application decisions.