Product Designer

Regal
Full-timeβ€’$150k-180k/year (USD)β€’New York, United States

πŸ“ Job Overview

Job Title: Product Designer

Company: Regal

Location: New York, New York, United States

Job Type: Full Time

Category: Product Design / User Experience

Date Posted: 2026-08-11

Experience Level: 5-10 Years

Remote Status: Hybrid

πŸš€ Role Summary

  • Shape the vision for AI-first product design, leading the evolution of user experiences for Voice AI agents.

  • Redesign information architecture to simplify complex interactions and meet the needs of an AI-driven product.

  • Partner closely with Product Managers and Engineers in a "triad" model to deliver user-centric solutions.

  • Conduct qualitative user research and usability testing to deeply understand customer problems and product usage.

  • Maintain and evolve Regal's design system and patterns, creating a framework for scalable feature development.

πŸ“ Enhancement Note: The role is specified as "Product Designer" but the responsibilities and requirements heavily lean into UX and UI design, with a strong emphasis on information architecture and design systems. The "AI-native" requirement suggests a focus on designing for AI-driven interfaces and workflows, a critical area in modern product development.

πŸ“ˆ Primary Responsibilities

  • Lead the strategic direction for AI-first product design, influencing the future user experience of Regal's AI Agent Platform.

  • Re-architect the product's information architecture to better align with AI-driven functionalities and user needs, moving beyond legacy models.

  • Collaborate in a cross-functional triad with Product and Engineering to translate customer and business requirements into intuitive product designs.

  • Execute qualitative user research, including interviews and usability testing, to gather actionable insights that inform design decisions.

  • Develop, maintain, and scale Regal's design library and patterns, ensuring consistency and efficiency in product development across the company.

  • Establish robust design processes and frameworks that enable rapid, high-quality feature delivery by all teams.

  • Act as a thought leader within the product team, elevating the standard of design execution and product quality.

  • Design for chat-heavy interfaces and AI-driven workflows, similar to products like Copilot, ensuring a seamless and effective user journey.

πŸ“ Enhancement Note: The responsibilities highlight a significant opportunity for impact, particularly in redefining the user experience for an AI-first product. The emphasis on "rethinking our information architecture from the ground up" and "building a design framework for our AI-driven development era" suggests a strategic, foundational role rather than purely execution.

πŸŽ“ Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating expertise in design principles is paramount. A degree in Design, HCI, Computer Science, or a related field is beneficial but not strictly required if experience and portfolio are exceptional.

Experience: 5-10 years of experience in Product Design, UX Design, or UI Design, with a significant portion focused on complex software products, preferably SaaS or enterprise platforms. Proven experience leading major design initiatives and redesigning significant product surface areas.

Required Skills:

  • Product Design & UX/UI Expertise: Deep understanding of user-centered design principles, interaction design, information architecture, and visual design.

  • Design Systems: Proven ability to create, maintain, and scale design systems and component libraries.

  • User Research & Testing: Proficiency in conducting qualitative user research, usability testing, and translating findings into design solutions.

  • AI-Native Design Thinking: A strong perspective on how AI is transforming design, with experience designing for AI-powered products and interfaces (e.g., chat interfaces, AI copilots). Familiarity with modern AI design tools.

  • Visual Design & Craft: Demonstrated high-quality visual design output and a strong aesthetic sense across multiple portfolio projects.

  • Collaboration & Communication: Ability to effectively partner with Product Managers and Engineers, articulate design decisions, and influence product strategy.

  • Problem-Solving: Capacity to balance user needs, business goals, and technical constraints to deliver effective solutions.

Preferred Skills:

  • Experience with AI tools like Claude Code, Cursor, or similar AI-assisted design and development platforms.

  • Experience in redesigning complex enterprise SaaS products or platforms.

  • Familiarity with Agile development methodologies and working within a fast-paced startup environment.

  • Experience in building design frameworks for AI-driven development.

  • Portfolio showcasing leadership in at least 2-3 major product face-lifts or redesigns.

πŸ“ Enhancement Note: The "AI-Native" requirement is a critical differentiator, indicating the company's focus on cutting-edge AI product development. Candidates should be prepared to discuss their perspectives on AI's impact on design and showcase projects that leverage AI principles or tools. The "Proven at Scale" requirement implies a need for experience with large-scale product redesigns and significant impact.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase at least 3 major design initiatives with significant customer or business impact, demonstrating your ability to tackle large surface areas.

  • Include detailed case studies of 2-3 major product face-lifts or redesigns you have led.

  • Highlight your process for conducting user research, translating insights into design, and iterating based on feedback.

  • Demonstrate your proficiency in building, maintaining, and scaling design systems, including examples of components and patterns.

  • Present work that reflects a strong visual taste and premium UI craft.

  • Include examples of designing for complex workflows, ideally with AI components or chat-heavy interfaces. Process Documentation:

  • Clearly articulate your design process, from problem definition and user research to ideation, prototyping, and final implementation.

  • Detail how you collaborate with Product and Engineering teams throughout the design lifecycle.

  • Explain your approach to information architecture redesign and the development of design frameworks for AI-driven products.

  • Showcase how you ensure design consistency and maintainability through design systems and documentation.

πŸ“ Enhancement Note: The portfolio is a critical component for this role. Candidates must go beyond simply showing final designs and provide in-depth case studies that detail their thought process, research methodologies, collaboration, and the impact of their work, especially concerning AI-first design and information architecture overhaul.

πŸ’΅ Compensation & Benefits

Salary Range: $150,000 - $180,000 per year. This range is based on the provided information and is typical for a Product Designer with 5-10 years of experience in a high-cost-of-living area like New York City, especially within a well-funded tech startup.

Benefits:

  • Health & Wellness: Medical, Dental, and Vision insurance (80% company-covered), subsidized ClassPass membership.

  • Time Off: Flexible Paid Time Off (PTO) and 11 paid holidays per year.

  • Financial Future: 401k plan, paid parental leave, pre-tax commuter benefits.

  • Workplace Experience: Daily in-office breakfast and snacks, regular happy hours, team outings, and annual off-sites.

  • Equipment: Complete laptop workstation provided.

  • Additional: Competitive equity package. Potential for variable compensation component.

Working Hours: Standard full-time hours, likely around 40 hours per week, with hybrid work flexibility.

πŸ“ Enhancement Note: The salary range is explicitly stated. The benefits package is comprehensive, emphasizing health, wellness, financial planning, and team connection, which is common for tech startups aiming to attract top talent. The hybrid model with 3 in-office days is also clearly defined.

🎯 Team & Company Context

🏒 Company Culture

Industry: Technology (AI Agent Platform)

Company Size: Regal is a growing startup, indicated by its recent funding rounds ($82M) and partnerships with major brands. It's likely in the early to growth stage, suggesting a dynamic and fast-paced environment.

Founded: 2020. This indicates a relatively young company, with a focus on innovation and disruption in the AI space.

Team Structure:

  • The Product Design team is described as "small," implying close collaboration and a high degree of individual impact.

  • The role reports to the VP of Product, indicating a direct line to leadership and strategic influence.

  • Collaboration within a "triad" (Product, Engineering, Design) is a core operational model, emphasizing tight-knit, cross-functional teamwork.

  • The company emphasizes an "in-person culture of entrepreneurs who want to win and build something meaningful," suggesting a driven, ambitious, and collaborative work environment. Methodology:

  • AI-First Approach: The company is fundamentally building an AI Agent Platform and is investing in "AI building AI." This means AI is not just a feature but the core technology driving the product.

  • Data-Driven Design: While not explicitly stated, the focus on user research, usability testing, and impact metrics implies a data-informed design process.

  • Agile Development: The mention of shipping "well-designed features fast" and working in triads suggests an agile or lean development methodology.

Company Website: regmovies.com

πŸ“ Enhancement Note: Regal's culture is positioned as entrepreneurial, fast-paced, and focused on building a category-defining product. The "in-person culture" and specific office location (Midtown, NYC) are key cultural elements. The company's rapid growth, significant funding, and high-profile partnerships suggest a high-potential environment for ambitious professionals.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-to-senior level Product Designer (5-10 years experience). It offers significant autonomy and the opportunity to shape foundational aspects of the product's user experience, particularly in the context of AI. It's a role with substantial influence and responsibility, moving beyond task execution to strategic product definition.

Reporting Structure: The Product Designer reports directly to the VP of Product, providing a clear line of communication and visibility to senior leadership. This structure facilitates direct impact on product strategy and decision-making.

Operations Impact: The Product Designer will have a direct and substantial impact on Regal's core offering: making complex AI agent interactions simple and intuitive. Success in this role will directly influence customer adoption, satisfaction, and ultimately, the revenue generated by the AI Agents. The redesign of the information architecture and the development of AI-first design frameworks will be critical to the company's scalability and competitive advantage.

Growth Opportunities:

  • Leadership in AI Design: Opportunity to become a leader in designing for AI-driven products, a rapidly evolving and high-demand field.

  • Strategic Influence: Direct input into the product vision and roadmap, influencing the direction of a category-defining platform.

  • Design System Ownership: Potential to own and evolve the company's core design system, establishing best practices for future product development.

  • Career Advancement: Potential to grow into a Senior Product Designer, Design Lead, or Managerial role as the design team and company scale.

  • Skill Development: Continuous learning opportunities related to AI technologies, advanced UX research, and enterprise SaaS product design.

πŸ“ Enhancement Note: The role is framed as a pivotal opportunity for a designer eager to shape the future of AI product experiences. The emphasis on "AI-first" and "reimagining our user experience" suggests a chance to leave a significant mark on a growing company's core product.

🌐 Work Environment

Office Type: Regal emphasizes an "in-person culture" and has a hybrid work model. The office is located in Midtown, Manhattan.

Office Location(s): New York City (HQ - Midtown).

Workspace Context:

  • Collaborative Environment: The company promotes an "in-person culture of entrepreneurs" and emphasizes collaboration within product/engineering triads. This suggests a dynamic, interactive workspace designed for teamwork.

  • Tools & Technology: While specific tools are not detailed for the workspace itself, the role requires familiarity with modern design and AI tools, implying that the company provides necessary hardware (e.g., complete laptop workstation) and software.

  • Team Interaction: The hybrid model (3 days in office, 2 optional) is designed to foster both focused work and team connection, with in-office days dedicated to collaboration, brainstorming, and relationship building.

Work Schedule: Full-time, with a hybrid model requiring 3 days in the New York City office (Tuesday, Wednesday, Thursday) and option to work remotely on Monday and Friday.

πŸ“ Enhancement Note: The "in-person culture" and hybrid model are key aspects of the work environment. The company actively fosters connection through daily office perks and team events, aiming to balance productivity with strong team cohesion.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Application & Initial Review: Submit resume and portfolio. The portfolio will be crucial for demonstrating relevant experience and design skills.

  • Screening Call: Likely a brief call with a recruiter or hiring manager to assess basic qualifications, cultural fit, and interest.

  • Design Exercise/Case Study Presentation: Candidates will likely be asked to present a case study from their portfolio, focusing on a major design initiative, their process, and the impact. Alternatively, a take-home design challenge might be assigned.

  • Triad Interviews: Interviews with Product Managers and Engineers to assess collaboration skills, technical understanding, problem-solving abilities, and design rationale.

  • VP of Product Interview: A final interview with the VP of Product to discuss strategic vision, leadership potential, and overall fit with the company's goals.

Portfolio Review Tips:

  • Showcase Impact: Focus on quantifiable results and business impact. For this role, highlight how your designs improved user experience, adoption, or efficiency, especially for complex AI products.

  • Detail Your Process: Clearly articulate your problem-solving methodology, research techniques, and how you collaborated with stakeholders. Emphasize your AI-native perspective and how you approach designing for AI.

  • Highlight AI Expertise: Include projects that demonstrate your understanding of AI-driven interfaces, chat-heavy experiences, or how you've leveraged AI tools in your design workflow.

  • Design System Proficiency: Show examples of your work with design systems, including how you've contributed to or maintained them.

  • Visual Craft: Ensure your portfolio showcases a high level of visual polish and attention to detail.

Challenge Preparation:

  • Understand Regal's Product: Research Regal's AI Agent Platform, its target users, and its competitive landscape.

  • Anticipate AI Design Questions: Be ready to discuss your perspective on the future of AI in design, how to design intuitive AI interactions, and the challenges of building AI-first products.

  • Prepare Case Studies: Have 2-3 detailed case studies ready to present, covering major design initiatives, redesigns, and your role in driving impact. Practice explaining your process, decisions, and outcomes concisely.

  • Articulate Collaboration: Be prepared to discuss how you work effectively within a Product/Engineering/Design triad.

πŸ“ Enhancement Note: The emphasis on a "small design team" and direct reporting to the VP of Product suggests a rigorous interview process where candidates will be thoroughly vetted for strategic thinking, collaboration, and deep design expertise, particularly in the emerging field of AI-first product design.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Design & Prototyping: Figma (highly probable, given industry standards and its capabilities for design systems), Sketch, Adobe Creative Suite.

  • Collaboration & Communication: Slack, Zoom, Google Workspace (Docs, Sheets, Slides).

  • Project Management: Jira, Asana, Trello (or similar, for tracking design tasks and progress).

Analytics & Reporting:

  • User Analytics: Mixpanel, Amplitude, Google Analytics (for understanding user behavior and product usage).

  • Usability Testing Tools: UserTesting.com, Lookback, Maze.

CRM & Automation:

  • CRM: Salesforce, HubSpot (understanding how design impacts CRM workflows can be beneficial).

  • AI Design Tools: Candidates are expected to be "AI-native" and up-to-date on tools like Claude Code, Cursor, Figma MCP (AI features), and others that assist in AI development and design.

πŸ“ Enhancement Note: While specific tools aren't listed, the responsibilities and requirements strongly imply proficiency in industry-standard design tools like Figma, coupled with an understanding of how to leverage AI-specific design and development tools. Familiarity with product analytics platforms is also essential for demonstrating impact.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Entrepreneurial Spirit: A drive to build something meaningful and a willingness to take ownership and initiative.

  • Customer Focus: Deep empathy for users, with a commitment to understanding their problems and designing solutions that genuinely help them.

  • Excellence & High Bar: A dedication to high-quality execution, attention to detail, and continuous improvement in design craft and product outcomes.

  • Collaboration & Urgency: Working effectively in cross-functional teams, operating with speed, and seeking the best solutions collaboratively.

  • Truth-Seeking: A commitment to uncovering the best path forward through open communication and data-driven decision-making.

Collaboration Style:

  • Triad Model: Close, integrated collaboration with Product Managers and Engineers, forming a core product development unit.

  • Open Communication: Encouraging honest feedback, transparent discussions, and a culture where ideas can be challenged constructively.

  • Knowledge Sharing: A proactive approach to sharing insights, best practices, and learnings within the design team and across the broader product organization.

  • Iterative Design: Embracing an iterative design process, where feedback is actively sought and incorporated to refine solutions.

πŸ“ Enhancement Note: The company culture is actively cultivated to foster innovation, rapid execution, and strong team cohesion. The emphasis on an "in-person culture" and shared entrepreneurial drive suggests a team that is highly engaged and motivated to achieve collective success.

⚑ Challenges & Growth Opportunities

Challenges:

  • Designing for AI Complexity: Simplifying highly complex AI interactions and workflows into intuitive user experiences.

  • Information Architecture Overhaul: Redesigning the core structure of a product to accommodate new AI capabilities, requiring strategic foresight and meticulous planning.

  • Balancing Innovation with Scalability: Developing new AI-first patterns while ensuring the design system remains maintainable and scalable for rapid feature development across the company.

  • Pace of AI Evolution: Staying ahead of the rapid advancements in AI technology and translating these into effective product design solutions.

  • Fast-Paced Startup Environment: Adapting to the dynamic nature of a growing startup, with evolving priorities and a high demand for rapid execution.

Learning & Development Opportunities:

  • AI Design Specialization: Deepening expertise in designing for AI products, including prompt engineering, conversational UI, and AI-driven workflows.

  • Strategic Product Influence: Gaining experience in shaping product strategy and roadmap development for a category-defining AI platform.

  • Design System Leadership: Taking ownership of and expanding a critical design system, influencing product consistency and development efficiency company-wide.

  • Cross-Functional Skill Development: Enhancing collaboration and communication skills by working closely with Product and Engineering leaders.

  • Industry Exposure: Potential to attend industry events or workshops focused on AI, UX, and product design.

πŸ“ Enhancement Note: This role presents significant challenges, particularly in navigating the complexities of AI and information architecture redesign. However, these challenges are directly tied to substantial growth opportunities in a cutting-edge field.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe your approach to redesigning the information architecture for a complex product, especially one transitioning to an AI-first model. Walk us through a relevant example."

  • "How do you approach making AI interactions intuitive and user-friendly? What are the key principles you follow when designing for AI-native experiences?"

  • "How do you balance the needs of the user, the business, and technical constraints when designing features? Provide an example of a trade-off you had to make and how you navigated it." Company & Culture Questions:

  • "What excites you about Regal's mission and the AI Agent Platform space?"

  • "How do you contribute to a collaborative, in-person, and entrepreneurial culture?"

  • "Describe a time you had to influence stakeholders or a team to adopt your design vision. How did you approach it?" Portfolio Presentation Strategy:

  • Structure Your Narrative: For each case study, clearly define the problem, your role, the process, the solution, and the measurable impact. Use visuals effectively to illustrate your journey.

  • Emphasize AI Relevance: Specifically highlight aspects of your work that relate to AI, complex workflows, or information architecture challenges. Discuss your perspective on AI's impact on design.

  • Showcase Collaboration: Explain how you worked with Product Managers and Engineers. Use examples of cross-functional problem-solving.

  • Quantify Impact: Wherever possible, present metrics that demonstrate the success of your designs (e.g., increased user engagement, reduced task completion time, improved conversion rates).

  • Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, research methods, and technical considerations.

πŸ“ Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, a deep understanding of AI's impact on design, and strong collaborative skills within a product triad. The portfolio presentation is key to showcasing these abilities.

πŸ“Œ Application Steps

To apply for this Product Designer position:

  • Submit your application through the provided Lever link, ensuring your resume and portfolio are up-to-date and readily accessible.

  • Curate Your Portfolio for Impact: Select 2-3 of your most relevant projects that showcase major design initiatives, redesigns, and your ability to handle complex information architecture challenges. Emphasize your AI-native perspective and any experience with AI-driven products or tools.

  • Tailor Your Resume: Highlight keywords related to Product Design, UX/UI, Information Architecture, Design Systems, User Research, and AI-native design. Quantify your achievements with metrics where possible.

  • Prepare Your Case Study Presentation: Practice walking through your selected portfolio projects, focusing on your process, collaboration within a triad, and the measurable impact of your designs, especially concerning AI and user experience simplification.

  • Research Regal Thoroughly: Understand Regal's AI Agent Platform, its market position, its competitors, and its stated company culture. Be ready to articulate why you are a great fit for their specific environment and 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

The ideal candidate has strong visual taste, sharp UX instincts, and a proven track record of executing major design initiatives at scale. You must be AI-native, comfortable with modern AI tools, and capable of working in a collaborative, fast-paced environment.