Product Designer

📍 Job Overview

Job Title: Product Designer

Company: GC AI

Location: San Mateo, California, United States / Remote (Canada) / Remote (USA)

Job Type: FULL_TIME

Category: Product Design / User Experience

Date Posted: 2026-04-20T15:25:05

Experience Level: 2-5 years

Remote Status: Hybrid / Remote

🚀 Role Summary

• Design and own the end-to-end user experience for AI-native legal workflows, focusing on intuitive interfaces for multi-agent systems and data insights.

• Collaborate directly with founders, engineers, and customers to define and implement the product's visual and interaction language.

• Drive user research and translate complex legal processes into clean, user-friendly designs that build trust and confidence in AI delegation.

• Contribute to and evolve the company's Figma design system to ensure product consistency and scalability.

• Ship features weekly in a fast-paced, hyper-growth startup environment, iterating based on user feedback and performance metrics.

📝 Enhancement Note: While the title is "Product Designer," the description strongly indicates a role with significant UX/UI responsibilities, particularly in AI and workflow automation. Given the company's focus on "operating system for in-house legal" and "AI copilot to full workflow orchestration," this role is crucial for translating complex technical capabilities into user-friendly solutions. The emphasis on shipping weekly and working closely with founders suggests a hands-on role requiring strong execution and a proactive approach.

📈 Primary Responsibilities

• Design end-to-end AI-native workflows, encompassing prompt inputs, agent outputs, streaming responses, citations, confidence signals, and trust cues for legal professionals.

• Partner closely with Product Managers and Engineers to ship features weekly, from initial Figma explorations to final pixel-perfect handoffs.

• Develop and test new AI interaction patterns, including chat, agents, document review, and multi-step automations, through rapid prototyping.

• Maintain and extend the Figma design system, ensuring product consistency, speed, and ease of scaling.

• Conduct regular user research sessions with in-house legal professionals to deeply understand their workflows, pain points, and the effective integration of AI.

• Translate complex legal workflows and dense information into clean, intuitive, and easily understandable interfaces.

• Contribute to the strategic direction of the product's user experience, especially concerning AI capabilities and user trust.

📝 Enhancement Note: The responsibilities highlight a deep dive into AI-specific design challenges, which is a significant differentiator. The expectation to "ship features weekly" and "prototype new AI interaction patterns" suggests a need for rapid iteration and a comfort with ambiguity common in early-stage AI product development. The emphasis on legal workflows and trust signals indicates specialized domain understanding will be valuable.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience. A computer science degree or technical foundation is a plus.

Experience: 2-5 years of dedicated product design experience within B2B SaaS, enterprise software, or workflow/productivity-focused companies.

Required Skills:

• Figma Proficiency: Strong command of Figma for design, prototyping, and collaboration.

• Design System Expertise: Proven ability to work within, contribute to, and extend established design systems.

• Technical Acumen: Comfort with code; ability to prototype in HTML/CSS/JavaScript or React, or experience shipping small front-end changes. A Computer Science degree or equivalent technical background is highly valued.

• Visual & Interaction Design: Sharp sensibility for clear visual hierarchy, thoughtful motion design, and meticulous attention to detail.

• Rapid Iteration: Ability to move quickly, iterate towards excellence, ship work, and learn from user feedback without requiring perfect specifications upfront.

• Ownership & Proactivity: Demonstrated ownership of design work, follow-through on details, and proactive identification and communication of potential problems.

• Portfolio: A strong portfolio showcasing end-to-end ownership of shipped features.

Preferred Skills:

• Experience designing with or for AI/LLM products, including chat interfaces, agents, generative UI, and copilots.

• Prior experience in a fast-growing startup environment or working on a 0-to-1 product.

• Familiarity with legal, compliance, or other regulated industry workflows.

• Exposure to design system work at well-regarded enterprise organizations (e.g., Figma, Linear, Notion, Ramp, Stripe).

• Computer science degree, coding bootcamp, or equivalent self-taught technical foundation.

📝 Enhancement Note: The requirement for "Comfortable in code" is a significant differentiator for a Product Designer role, indicating GC AI values designers who can bridge the gap between design and development, potentially contributing to front-end implementation. This suggests a need for candidates who are not only visually creative but also technically grounded and capable of understanding implementation constraints.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Ownership: Showcase case studies detailing your complete design process from problem identification through to shipped product, highlighting your specific contributions.

• AI-Native Workflow Design: Include examples of designing complex workflows, especially those involving AI, multi-agent systems, or data-intensive applications. Demonstrate how you translated abstract concepts into tangible user experiences.

• Design System Contribution: Provide evidence of your work with design systems, whether it's contributing to an existing one or establishing components and patterns.

• Technical Integration: If possible, demonstrate how your design process considered or integrated with code, such as through interactive prototypes or examples of front-end implementation.

• User Research & Iteration: Showcase how user research informed your design decisions and how you iterated on designs based on feedback, particularly for B2B or enterprise products.

Process Documentation:

• Problem Definition: Clearly articulate the user problem or business need your design addressed, supported by user research or business context.

• Design Process: Detail your methodology, including user flows, wireframes, high-fidelity mockups, and prototyping stages. Explain your rationale for key design choices.

• Collaboration & Handoff: Describe your collaboration process with PMs and engineers, and detail your approach to design handoff to ensure accurate implementation.

• Impact & Metrics: Quantify the impact of your designs where possible, using metrics such as user engagement, task completion rates, NPS scores, or other relevant performance indicators.

📝 Enhancement Note: For a role emphasizing AI-native workflows and technical comfort, the portfolio should strongly feature case studies demonstrating an understanding of AI interaction patterns, data visualization, and how to build user trust in automated systems. The ability to show a process that bridges design and code will be highly advantageous.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 2-5 years of experience in a high-growth Series B startup in a major tech hub like San Francisco Bay Area (San Mateo) or a remote role in Canada/USA, the estimated salary range is approximately $110,000 - $160,000 USD annually. For Canadian locations, this would be adjusted based on local market rates and currency conversion.

Benefits:

• Health, Dental, and Vision Insurance: Comprehensive coverage for employees and potentially dependents.

• Stock Options/Equity: Opportunity to own a piece of the company's growth, common in high-growth startups.

• 401(k) plan (US) / RRSP matching (Canada): Retirement savings plan with employer contributions.

• Generous Paid Time Off (PTO): Flexible vacation, sick leave, and paid holidays.

• Professional Development: Budget for conferences, courses, and learning opportunities to foster skill growth.

• Remote Work Stipend: Support for home office setup and ongoing remote work expenses.

• Team Events & Retreats: Opportunities for in-person team building and collaboration.

Working Hours: Standard full-time (40 hours per week), with flexibility offered due to the remote/hybrid nature of the role. The expectation is to ship features weekly, implying a productive and focused work ethic.

📝 Enhancement Note: The salary estimate is based on Glassdoor, LinkedIn Salary, and industry benchmarks for Product Designers with 2-5 years of experience in the San Francisco Bay Area and comparable remote roles in Canada and the US. The specified company valuation ($555M) and Series B funding ($60M) suggest a compensation structure that includes competitive base salary and equity.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal Technology (Legal Tech), Artificial Intelligence (AI), B2B SaaS. GC AI is at the forefront of revolutionizing legal operations through AI, aiming to become the operating system for in-house legal departments. The company operates in a rapidly evolving market characterized by technological innovation and a strong demand for efficiency and automation in professional services.

Company Size: Series B startup (60M raised at 555M valuation). This implies a dynamic, fast-paced environment with a lean, agile team focused on rapid growth and product development.

Founded: Founded to address the evolving needs of in-house legal teams, GC AI is a relatively young company but has achieved significant traction, indicated by its strong funding and high NPS score. This suggests a culture that values innovation, customer-centricity, and rapid execution.

Team Structure:

• Founder-Led: Designers work directly with founders, indicating high visibility and direct impact.

• Small, Strong Engineering Team: Collaboration will be close-knit with a focus on efficient development.

• Cross-Functional Collaboration: Close partnership with Product Managers and Engineers is a core aspect of the workflow.

• Early-Stage Design Practice: As an early designer, you will be instrumental in shaping the product design function within the company.

Methodology:

• AI-Native Design: Focus on designing intuitive experiences for complex AI interactions, multi-agent workflows, and trust-building signals.

• Rapid Iteration & Shipping: Emphasis on weekly feature releases and a "move fast and iterate" mentality.

• User-Centricity: Strong commitment to understanding user pain points through regular customer interaction and research.

• Data-Driven Insights: Leveraging data to inform design decisions and measure impact.

• Design System Development: Building and maintaining a robust design system for scalability and consistency.

Company Website: https://www.gc.ai/

📝 Enhancement Note: The company's focus on AI and legal tech suggests a culture that values intellectual curiosity, problem-solving, and a deep understanding of both technology and user needs within a regulated industry. The high NPS score indicates a strong product-market fit and a culture that prioritizes user satisfaction.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Designer (2-5 years experience). It offers the opportunity to be an early member of the design team, meaning significant influence on design practices and product direction. It's a foundational role for building the design function at a hyper-growth startup.

Reporting Structure: You will likely report to a Head of Product or a Design Lead (if one exists or is hired soon). Direct collaboration with the founders is also a key aspect of the reporting dynamic, offering high visibility.

Operations Impact: As a Product Designer at GC AI, your impact will be direct and significant. You will shape how legal professionals interact with AI, influencing efficiency, accuracy, and trust in a critical business function. Your work will directly contribute to the company's ability to scale its innovative legal tech platform and achieve its ambitious growth targets.

Growth Opportunities:

• Foundational Design Practice: Opportunity to help build and define the design function, processes, and culture from the ground up.

• AI/LLM Design Specialization: Deepen expertise in designing cutting-edge AI and LLM-based products, a highly in-demand skill.

• Leadership Potential: As the company grows, there will be opportunities to move into lead or management roles within the design team.

• Cross-Functional Expertise: Develop a strong understanding of product management, engineering, and AI development within a fast-paced startup.

• Domain Expertise: Gain specialized knowledge in legal tech, a growing and complex industry.

📝 Enhancement Note: The "early designer" aspect is a significant growth opportunity. Candidates should be prepared to take on broad responsibilities and contribute to establishing design principles and practices, which can accelerate career progression beyond traditional linear paths.

🌐 Work Environment

Office Type: The role offers flexibility:

• Remote: Available for candidates in the US and Canada.

• Hybrid: For those within approximately 50 miles of San Mateo, CA or Provo, UT offices, a hybrid schedule is in place with in-office days on Mondays, Wednesdays, and Fridays. This structure aims to balance remote flexibility with in-person collaboration.

Office Location(s):

• San Mateo, California, USA

• Provo, Utah, USA (Implied by the hybrid description, though not explicitly listed as a hiring location)

• Remote within Canada

Workspace Context:

• Collaborative & Agile: Expect a fast-paced environment with close collaboration between design, product, and engineering teams. The hybrid model aims to facilitate in-person brainstorming and quick problem-solving.

• Technology-Rich: Access to modern design tools like Figma and potentially other collaboration software. The company is building an AI platform, so you'll be working with cutting-edge technology.

• User-Focused Interaction: Opportunities to regularly engage with legal professionals, providing direct insight into user needs and workflows.

Work Schedule: While a standard full-time work week (40 hours) is expected, the remote and hybrid options provide flexibility. The emphasis on shipping weekly implies a need for consistent focus and productivity, but within a structure that supports work-life balance.

📝 Enhancement Note: The hybrid model near specific offices combined with fully remote options provides a clear structure for different employee groups. Candidates should clarify expectations for hybrid days if applicable to their location.

📄 Application & Portfolio Review Process

Interview Process:

1. Application Review: Initial screening of resumes and portfolios against required qualifications.

2. Hiring Manager/Recruiter Screen: A brief call to discuss your background, interest in the role, and initial fit.

3. Design Exercise/Challenge: Typically, an assignment to design a specific feature or workflow, often focusing on AI interactions or complex problem-solving. This might be take-home or a live working session.

4. Portfolio Presentation & Deep Dive: Present your case studies, focusing on your process, decision-making, and impact. This is where you'll discuss your ownership and technical comfort.

5. Cross-Functional Interviews: Meetings with engineers and product managers to assess collaboration style, technical understanding, and ability to integrate into the team.

6. Founder/Final Interview: A discussion with founders to assess strategic thinking, cultural fit, and long-term vision alignment.

Portfolio Review Tips:

• Highlight AI & Workflow: Prioritize case studies that demonstrate your experience with AI-native workflows, complex systems, and translating technical concepts into user-friendly designs.

• Showcase Technical Comfort: Include examples that illustrate your understanding of front-end development, prototyping in code, or how you bridge the gap between design and engineering.

• Emphasize End-to-End Ownership: Clearly articulate your role and contributions in each project, from initial research to final shipped product.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your designs (e.g., user adoption, efficiency gains, NPS improvement).

• Tell a Story: Structure your case studies to tell a compelling narrative about the problem, your solutions, and the outcomes.

Challenge Preparation:

• Understand the Domain: Research legal tech and AI/LLM applications to grasp the context.

• Focus on AI Interactions: Prepare to design for novel AI interfaces, considering elements like prompt engineering, response clarity, trust signals, and multi-agent collaboration.

• Demonstrate Iteration: Show how you would approach iterative design based on user feedback and technical constraints.

• Technical Prototyping: Be ready to discuss or demonstrate how you would prototype concepts, potentially involving code or advanced Figma techniques.

📝 Enhancement Note: The "Comfortable in code" requirement means candidates should be prepared to discuss their coding experience and potentially demonstrate it, even if it's just through advanced Figma prototyping or discussing front-end implementation considerations. The portfolio should actively address this.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design and prototyping tool, expected to be used extensively for UI design, collaboration, and design system management.

• Prototyping Tools: Beyond Figma, candidates comfortable with HTML/CSS/JS or React for prototyping will be highly valued.

Analytics & Reporting:

• User Analytics Platforms: Tools like Mixpanel, Amplitude, or similar for tracking user behavior and feature adoption.

• Customer Feedback Tools: Platforms for collecting NPS surveys and qualitative feedback.

CRM & Automation:

• CRM (e.g., Salesforce, HubSpot): While not directly a design tool, understanding how design impacts user adoption and workflow within a CRM context is beneficial.

• Project Management Tools (e.g., Jira, Asana, Linear): Essential for tracking tasks, sprints, and collaborating with engineering and product teams.

📝 Enhancement Note: The explicit mention of "Comfortable in code" and "prototype in HTML/CSS/JS (or React)" suggests that proficiency in these areas, even if not for full-stack development, is a key technical requirement that should be highlighted in the resume and portfolio.

👥 Team Culture & Values

Operations Values:

• User-Centricity & Empathy: Deep understanding of in-house legal workflows and pain points to build solutions they truly need and love.

• Bias for Action & Iteration: A culture that embraces rapid development, shipping frequently, and learning from user feedback rather than striving for perfection in a vacuum.

• Ownership & Accountability: Each team member takes full responsibility for their work, from conception to implementation and iteration.

• Technical Excellence & Innovation: Driving forward with cutting-edge AI technology and designing intuitive interfaces for complex, novel applications.

• Collaboration & Transparency: Working closely with founders, engineers, and product managers, sharing insights and challenges openly.

Collaboration Style:

• Cross-Functional Partnership: Designers work hand-in-hand with PMs and engineers, contributing to product strategy and execution.

• Direct Customer Engagement: Regular interaction with legal professionals to gather insights and validate designs.

• Design System as a Shared Language: Utilizing and contributing to a design system fosters consistency and efficient communication across teams.

• Feedback-Driven: An environment where constructive feedback is welcomed and used to refine designs and processes.

📝 Enhancement Note: The values emphasize a startup mentality: fast-paced, user-focused, and collaborative, with a strong emphasis on technical innovation in the AI space. Candidates should demonstrate alignment with these principles.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing Novel AI Interactions: Creating intuitive and trustworthy user experiences for multi-agent AI workflows is a frontier design problem.

• Balancing Speed and Craft: Shipping weekly requires efficient workflows and a pragmatic approach to design, while maintaining high quality and attention to detail.

• Translating Complexity: Simplifying dense legal processes and AI outputs into universally understandable interfaces.

• Building Design Practice: As an early designer, you'll be instrumental in establishing design processes, tools, and culture for a growing company.

• User Trust in AI: Designing to build and maintain user confidence in AI-driven legal processes.

Learning & Development Opportunities:

• AI/LLM Design Specialization: Gain deep expertise in a rapidly growing and highly sought-after field.

• Foundational Design Leadership: Opportunity to shape the design function and mentor future team members.

• Startup Growth Experience: Learn invaluable lessons in rapid scaling, product-market fit, and building a company from an early stage.

• Cross-Disciplinary Learning: Deepen understanding of AI development, legal workflows, and agile product management.

• Industry Exposure: Work within the exciting and impactful legal tech industry.

📝 Enhancement Note: The challenges are framed as opportunities for growth, particularly in the cutting-edge domain of AI design and the dynamic environment of a hyper-growth startup. Candidates should highlight how they approach and overcome such challenges.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex workflow. How did you ensure it was intuitive and efficient?" (Focus on your process, user research, and iteration).

• "How would you approach designing trust signals for an AI agent that provides legal advice?" (Consider confidence scores, citations, explainability, and user control).

• "Imagine you need to design an interface for AI-generated legal documents. What are the key considerations, and how would you prototype this?" (Discuss data handling, review processes, and potential for AI-driven edits).

Company & Culture Questions:

• "What excites you about GC AI's mission and the legal tech space?" (Research the company's product, funding, and market position).

• "How do you see your technical background (coding comfort) contributing to your product design work here?" (Connect your coding skills to prototyping, collaboration, or understanding implementation).

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of the company and problem, then dive into your specific role, process, and outcomes.

• Emphasize AI & Technical Aspects: For each case study, explicitly call out how you addressed AI-specific design challenges and demonstrated your technical comfort or collaboration with engineering.

• Walk Through Your Process: Clearly articulate your steps: discovery, ideation, prototyping, testing, iteration, and handoff.

• Quantify Results: Use data and metrics to showcase the success of your designs. If direct metrics aren't available, discuss qualitative feedback or anticipated impact.

• Be Ready for Deep Dives: Anticipate questions about specific design choices, trade-offs, and how you would handle hypothetical scenarios.

📝 Enhancement Note: Given the emphasis on "comfortable in code," be prepared to discuss specific coding projects, front-end contributions, or how you leverage technical understanding in your design process. If you have experience with AI/LLM products, make sure to highlight it prominently.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on jobs.gem.com.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your end-to-end ownership, experience with complex workflows, and any relevant AI/technical design work. Ensure each case study clearly outlines the problem, your role, your process, and the outcomes.

• Tailor Your Resume: Highlight your 2-5 years of B2B SaaS/enterprise product design experience, specific skills in Figma, design systems, prototyping (especially with code), and any AI/LLM product experience. Use keywords from the job description.

• Prepare Your Narrative: Be ready to articulate your design philosophy, your approach to collaboration, and why you are excited about GC AI's mission. Practice walking through your portfolio projects concisely and effectively.

• Research GC AI: Understand their product, their mission to build the operating system for in-house legal, their funding status, and their target customer. This will help you tailor your application and interview responses.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details, particularly regarding compensation and specific interview processes, should be verified directly with GC AI during the application process.