Product Designer

📍 Job Overview

Job Title: Product Designer

Company: GC AI

Location: United States

Job Type: FULL_TIME

Category: Product Design / AI / SaaS

Date Posted: 2026-05-22

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote

🚀 Role Summary

• AI-Native Product Design: Own the end-to-end design of an AI-powered legal platform, focusing on intuitive experiences for multi-agent workflows, complex data insights, and building user trust in AI delegation.

• End-to-End Ownership: Drive the design process from initial concept and wireframing through high-fidelity prototyping and pixel-perfect handoff, shipping features weekly in close collaboration with product managers and engineers.

• Design System Evolution: Contribute to and extend GC AI's Figma design system, ensuring product consistency, scalability, and rapid iteration for a hyper-growth Series B startup environment.

• User-Centric Approach: Regularly engage with in-house legal professionals to deeply understand their workflows, pain points, and how AI can best augment their capabilities, translating complex legal processes into clean, intuitive interfaces.

📝 Enhancement Note: This role is situated within the cutting-edge field of Legal Tech, specifically focusing on AI applications. The "Product Designer" title, combined with responsibilities like "AI-native workflows," "multi-agent workflows," and "autonomous legal teams," strongly indicates a role that requires not just traditional UI/UX skills but also a deep understanding of how to design for complex AI interactions and build user trust in AI-driven processes. The emphasis on shipping weekly and working directly with founders suggests a fast-paced, high-impact environment typical of early-stage, well-funded startups.

📈 Primary Responsibilities

• Design AI-native workflows, encompassing prompt inputs, agent outputs, streaming responses, citation integration, confidence signals, and essential trust cues for legal professionals.

• Collaborate daily with Product Managers and Engineers to ship new features, from initial Figma explorations to final asset delivery and implementation support.

• Develop interactive prototypes for novel AI interaction patterns, including chat interfaces, agent-based systems, document review tools, and multi-step automation sequences, to validate concepts early.

• Actively contribute to, maintain, and evolve the company's Figma design system to ensure product consistency, maintainability, and scalability.

• Conduct frequent user research and interviews with in-house legal teams to gather insights into workflows, identify pain points, and discover opportunities for AI-driven solutions.

• Translate complex, often dense, legal workflows and data into clear, intuitive, and user-friendly interfaces that feel natural and straightforward to operate.

• Translate complex legal workflows and data into clean, intuitive interfaces that feel obvious to the user.

📝 Enhancement Note: The responsibilities highlight a blend of core product design tasks with a specialized focus on AI and legal workflows. The emphasis on "shipping weekly" and "close partnership with PMs and engineers" points to an Agile development environment. The explicit mention of "AI-native workflows," "multi-agent workflows," and "trust cues" signifies a need for designers adept at tackling novel AI interaction challenges and building confidence in AI solutions within a regulated industry.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field, or equivalent practical experience.

Experience: 2-5 years of dedicated product design experience, with a proven track record in B2B SaaS, enterprise software, or workflow/productivity-focused companies. A strong portfolio showcasing shipped end-to-end features is essential.

Required Skills:

• Proficient in Figma, with demonstrated experience in creating, contributing to, and maintaining design systems.

• Foundational understanding of front-end development principles; comfortable prototyping in HTML/CSS/JavaScript (or React), or capable of shipping small front-end code changes.

• Sharp visual and interaction design sensibility, characterized by clear visual hierarchy, thoughtful use of motion, and meticulous attention to detail.

• Ability to move quickly and iterate effectively, prioritizing shipping work and gathering user feedback over achieving absolute perfection in initial designs.

• Strong ownership mentality, with a commitment to following through on tasks, proactively identifying and raising potential issues.

• Experience conducting user research, synthesizing findings, and translating them into actionable design solutions.

• Ability to translate complex technical or domain-specific information into simple, user-friendly interfaces. Preferred Skills:

• Computer Science degree, completion of a coding bootcamp, or equivalent self-taught technical expertise.

• Prior experience designing for AI/LLM products, including but not limited to chat interfaces, agent-based systems, generative UI, or AI copilots.

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

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

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

📝 Enhancement Note: The requirement for "Comfortable in code" is a significant differentiator for this role, moving beyond traditional design expectations. It implies the company values designers who can directly contribute to front-end implementation or possess a strong technical understanding that facilitates better collaboration with engineers and more pragmatic design solutions, especially in a startup where cross-functional skills are highly prized. The preference for AI/LLM product experience directly aligns with GC AI's core offering.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design ownership for at least 2-3 B2B SaaS or enterprise features.

• Clearly articulate your specific role and contributions within each project.

• Demonstrate a strong understanding of user research methodologies and how insights informed your design decisions.

• Highlight the creation, application, and evolution of design systems or style guides.

• Include examples of rapid prototyping and iteration cycles based on user feedback or technical constraints.

• Showcase visual and interaction design skills with detailed UI mockups and interactive prototypes. Process Documentation:

• Detail your process for translating complex user needs and technical requirements into design solutions.

• Illustrate your workflow for collaborating with product managers and engineers, including handoff procedures.

• Provide examples of how you've used user research and data to drive design iterations and improvements.

• Explain your approach to designing for AI-driven features, including considerations for trust, explainability, and user control.

• Demonstrate how you maintain consistency and scalability through design systems and style guides.

📝 Enhancement Note: For a Product Designer role, especially at a startup focused on AI, the portfolio is critical. It needs to go beyond static visuals to demonstrate the process of design, particularly how the candidate tackles complex, novel problems like AI workflows and translates technical concepts into user-friendly experiences. The emphasis on "shipped features" and "end-to-end ownership" means the portfolio should tell a story of problem, process, solution, and impact.

💵 Compensation & Benefits

Salary Range: $118,150 - $192,050 USD annually.

Benefits:

• Competitive salary and equity package.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off (PTO) and holidays.

• Remote work flexibility within the United States.

• Opportunities for professional development and continuous learning.

• Direct impact on a rapidly growing product and company.

• Collaborative and high-performing team culture.

Working Hours: Standard full-time hours (approximately 40 hours per week), with flexibility often afforded to remote employees, particularly in a fast-paced startup environment where urgency and ownership are key.

📝 Enhancement Note: The salary range provided is competitive for a mid-level Product Designer role in the US tech market, especially considering the company's Series B funding and high growth. The remote nature and focus on a "relentless pace" suggest that while standard hours are expected, a commitment beyond 9-to-5 may be necessary during critical project phases. The benefits listed are standard for tech companies but highlight the remote aspect as a key perk.

🎯 Team & Company Context

🏢 Company Culture

Industry: Legal Technology (LegalTech), Artificial Intelligence (AI), Software-as-a-Service (SaaS). GC AI operates at the intersection of these rapidly evolving fields, aiming to revolutionize how in-house legal teams operate.

Company Size: Rapidly scaling Series B startup. While exact employee numbers aren't provided, a Series B with $60M raised and 10x revenue growth in 12 months indicates a company that has moved beyond the initial seed stage and is in a significant growth phase, likely employing dozens to potentially over a hundred employees, with a strong focus on engineering and product development.

Founded: GC AI is a relatively young company, focused on building the future of legal work. Its founding is tied to the recent advancements in AI and the recognition of the need for sophisticated legal tech solutions. The company's rapid growth and substantial funding suggest a strong vision and execution from its founding team.

Team Structure:

• Lean and High-Impact: The design team is described as small, emphasizing that early members will have significant ownership and influence. This implies a flat hierarchy within the design function initially.

• Cross-Functional Collaboration: Designers work directly with founders, product managers, and engineers, highlighting a highly collaborative and integrated approach to product development.

• Customer-Obsessed: The company culture is heavily influenced by its customers, with regular user interaction being a core part of the design process.

Methodology:

• Agile & Iterative: The emphasis on shipping features weekly and iterating rapidly points to an Agile development methodology.

• Data-Driven & User-Focused: While not explicitly stated as "data-driven" in the traditional sense, the strong emphasis on user research and customer feedback ("70+ NPS," "talk to users regularly") indicates a user-centric approach that informs design decisions.

• AI-First Design: The core methodology revolves around designing for AI-native workflows, pushing the boundaries of AI interaction and user trust.

Company Website: https://gc.ai/

📝 Enhancement Note: The company culture is characterized by high pace, urgency, ownership, and a direct impact on product development. This is typical of well-funded, fast-growing tech startups, especially those in disruptive fields like AI and LegalTech. Candidates should be prepared for ambiguity and a need for self-direction.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer (2-5 years of experience). However, given it's an early hire at a Series B startup, the responsibilities and impact will likely be far greater than a typical mid-level role at a larger, more established company. The designer will be instrumental in building the "practice of product design" at GC AI.

Reporting Structure: The designer will work directly with founders and collaborate closely with product managers and engineers. While there might not be a dedicated design manager initially, the reporting line will likely be to a product lead or directly to a founder, emphasizing direct access to leadership.

Operations Impact: The Product Designer will have a direct and immediate impact on the core product offering – the "operating system for in-house legal." Their designs will shape how legal professionals interact with AI, influencing user adoption, satisfaction (NPS), and ultimately, the company's ability to scale its revenue and market position. The success of AI-native workflows and user trust directly translates to business success.

Growth Opportunities:

• Foundational Role: As an early designer, you have the opportunity to shape the design practice, establish processes, and potentially grow into a design leadership role as the company scales.

• Skill Specialization: Deep expertise in AI product design, legal tech, and complex workflow orchestration can be a significant career differentiator.

• Rapid Learning: The fast-paced environment and direct collaboration with founders and engineers provide accelerated learning opportunities across product strategy, technology, and business development.

• Impactful Projects: The chance to work on 0-to-1 product initiatives and solve novel AI design challenges offers substantial professional development and portfolio-building opportunities.

📝 Enhancement Note: This role offers significant growth potential due to its early-stage nature and high-impact focus. The designer is not just executing tasks but is helping to build a design function from the ground up within a rapidly scaling, well-funded company. This could lead to leadership opportunities and deep expertise in a niche but growing field.

🌐 Work Environment

Office Type: Primarily a remote-first company, with an optional hybrid model for employees located within approximately 50 miles of their San Mateo, CA or Provo, UT offices. This hybrid model includes in-office days on Tuesdays, Wednesdays, and Thursdays, suggesting a focus on in-person collaboration for core team activities.

Office Location(s): While remote within the United States is the default, GC AI has physical offices in San Mateo, CA, and Provo, UT, which may serve as hubs for local teams or optional co-working spaces.

Workspace Context:

• Remote Flexibility: Employees can work from anywhere in the US, offering significant autonomy and work-life balance potential.

• Collaborative Hubs: For those opting for the hybrid model, the physical offices provide structured opportunities for face-to-face collaboration, team building, and focused work sessions.

• Tech-Enabled Environment: As a tech company, expect access to modern collaboration tools and a focus on efficient digital workflows, regardless of work location.

Work Schedule: While standard full-time hours are expected, the remote nature of the role and the startup environment often allow for flexibility in when work is done, provided deadlines are met and collaboration is effective. The emphasis on "shipping today" and "1% better every day" suggests a results-oriented culture where productivity and impact are prioritized.

📝 Enhancement Note: The "remote unless hybrid" policy indicates a company that embraces remote work but also recognizes the value of in-person interaction for certain activities. This hybrid model, with specific in-office days, likely aims to optimize collaboration for key team rituals and strategic planning.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screen: A brief call with a recruiter or hiring manager to assess basic qualifications, cultural fit, and interest in the role and company.

• Portfolio Review & Design Exercise: A session where candidates present their portfolio, discussing key projects, design processes, and problem-solving approaches. This may be followed by a take-home design challenge or a live design exercise focused on AI workflow challenges or translating legal concepts.

• Technical/Engineering Collaboration: Interviews with engineers and product managers to assess technical understanding, collaboration skills, and ability to work within a development lifecycle.

• Founder/Leadership Interview: A final conversation with a founder or senior leader to gauge strategic thinking, cultural alignment, and long-term potential.

Portfolio Review Tips:

• Focus on Process: Don't just show final screens. Detail your thought process, the challenges you faced, how you iterated, and the rationale behind your design decisions, especially concerning AI interactions and user trust.

• Highlight AI & Complexity: If you have experience designing AI products, complex workflows, or enterprise software, emphasize these projects. Showcase how you simplified complexity and built intuitive interfaces.

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

• Tell a Story: Structure your portfolio presentations as narratives – problem, your approach, solution, and outcomes.

• Showcase Figma & Design Systems: Be prepared to discuss your Figma proficiency and your experience with design systems, including how you've contributed to or maintained them.

• Code Comfort: Be ready to discuss your comfort level with code and demonstrate how you leverage this skill in your design process.

Challenge Preparation:

• Understand the Domain: Research LegalTech and the challenges in-house legal teams face. Understand the basics of AI and LLMs, and how they are being applied.

• AI Interaction Design: Prepare to discuss principles of designing for AI, including prompt engineering, output interpretation, managing uncertainty, and building trust.

• Workflow Simplification: Practice breaking down complex processes into simple, user-friendly steps.

• Communication: Be prepared to articulate your design decisions clearly and concisely, justifying them with user needs, business goals, and technical feasibility.

📝 Enhancement Note: The interview process is likely rigorous, focusing on both design craft and the ability to navigate the complexities of AI and legal tech within a startup environment. The portfolio review is a critical gate, and candidates should prepare to go deep into their process and problem-solving approach, especially concerning AI-centric design challenges.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary tool for design, wireframing, prototyping, and design system management).

• User Research: Tools like UserTesting, Lookback, or internal methods for conducting user interviews and usability testing.

• Collaboration: Slack for communication, Zoom/Google Meet for meetings and remote collaboration.

• Project Management: Tools like Jira, Asana, or Linear for tracking tasks and project progress.

Analytics & Reporting:

• While not explicitly stated for designers, expect to work with data from product analytics platforms (e.g., Amplitude, Mixpanel) to understand user behavior and feature adoption.

• Design and implementation of dashboards for tracking key product metrics. CRM & Automation:

• Not directly used by designers, but understanding the company's CRM (likely Salesforce) and marketing automation tools can provide context for user journeys.

• Familiarity with tools used for customer support and feedback collection.

📝 Enhancement Note: Figma is explicitly mentioned, and its role in design systems is emphasized. The "comfortable in code" requirement suggests that designers might interact with front-end frameworks like React or contribute code directly. Understanding the broader tech stack, even if not directly using all tools, is beneficial for cross-functional collaboration.

👥 Team Culture & Values

Operations Values: GC AI emphasizes six guiding principles:

• 1% better every day: A commitment to continuous improvement in all aspects of work.

• Customer obsession: Deep focus on understanding and serving user needs.

• Ship today: Prioritizing timely delivery and rapid iteration.

• Find a way: Proactive problem-solving and resourcefulness in overcoming challenges.

• Care deeply: Genuine commitment to colleagues, customers, and the product's mission.

• Own it completely: Taking full responsibility for one's work and its outcomes.

Collaboration Style:

• Direct & Open: Given the small team size and direct collaboration with founders, expect an open and direct communication style.

• Cross-Functional Integration: Designers are integral to the product development team, working hand-in-hand with PMs and engineers.

• Iterative Feedback Loops: The culture encourages rapid iteration and continuous feedback, both from users and internal teams.

• Mission-Driven: The team is unified by a strong mission to transform legal work through AI, fostering a sense of shared purpose.

📝 Enhancement Note: The company's six guiding principles are crucial for understanding the expected work ethic and cultural fit. Candidates should be prepared to demonstrate how they embody these principles in their approach to design and collaboration. The emphasis on "ship today" and "find a way" strongly suggests a bias for action and a tolerance for ambiguity.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Novelty: Tackling the inherent complexities and user trust issues associated with novel AI interactions and multi-agent workflows.

• Translating Legal Complexity: Simplifying intricate legal processes and dense information into intuitive and accessible user interfaces.

• Pace and Ambiguity: Thriving in a fast-paced, high-growth startup environment where priorities can shift and clear paths are not always defined.

• Building a Design Practice: As an early designer, establishing design processes, standards, and potentially a team from the ground up.

Learning & Development Opportunities:

• AI Product Design Expertise: Gaining deep experience in a cutting-edge field that is rapidly reshaping industries.

• Legal Tech Domain Knowledge: Developing specialized understanding of legal workflows and the needs of in-house legal teams.

• Startup Operations: Learning how to operate and contribute effectively in a hyper-growth startup environment.

• Leadership Potential: Opportunities to grow into design leadership roles as the company scales and the design team expands.

• Direct Impact: Contributing directly to core product features that have immediate and significant business impact.

📝 Enhancement Note: The challenges presented are significant but also represent opportunities for growth and skill development. Candidates who are energized by solving complex, novel problems in a dynamic environment will find this role particularly rewarding.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex workflow you designed and how you simplified it for users. How did you ensure user adoption and understanding?" (Focus on process, user research, and simplification strategy).

• "How would you approach designing a user interface that builds trust for an AI system that handles sensitive legal documents?" (Focus on AI design principles, trust signals, and user psychology).

• "Imagine we need to design an interface for multiple AI agents collaborating on a legal task. What are your initial considerations and how would you prototype this?" (Focus on AI interaction patterns, multi-agent workflows, and prototyping skills). Company & Culture Questions:

• "Why are you interested in GC AI and the legal tech space specifically?" (Research GC AI's mission, product, and recent news; connect it to your career goals).

• "How do you embody our principle of '1% better every day' or 'Own it completely' in your design work?" (Provide specific examples from your experience).

• "Describe a time you had to work with ambiguity or a lack of clear requirements. How did you proceed?" (Highlight your problem-solving, initiative, and ability to find a way). Portfolio Presentation Strategy:

• Narrative Flow: Structure your presentation around the story of each project: the problem, your role, the process (research, ideation, iteration), the solution, and the impact.

• Emphasize Process: Clearly articulate your design methodology, how you made decisions, and how you collaborated with stakeholders.

• Showcase AI/Complexity Handling: If applicable, highlight projects involving AI, complex data, or intricate workflows. Explain how you approached these challenges.

• Demonstrate Figma & Code Comfort: Be ready to walk through your Figma files and discuss your comfort level with front-end code and how it influences your design.

• Quantify Results: Use metrics to illustrate the success and impact of your designs.

📝 Enhancement Note: Preparation should focus on demonstrating not just design skills but also an understanding of AI, a comfort with ambiguity, strong collaboration abilities, and a proactive, ownership-driven mindset aligned with GC AI's core values.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the official GC AI careers page or the provided Ashby link.

• Curate Your Portfolio: Select 2-3 of your strongest B2B SaaS or enterprise projects that showcase end-to-end ownership, complex problem-solving, and ideally, any experience with AI, workflows, or data-heavy applications. Ensure each project clearly outlines your role, process, and impact.

• Tailor Your Resume: Highlight keywords and experiences relevant to Product Design, B2B SaaS, AI, Figma, design systems, user research, and front-end development. Quantify achievements where possible.

• Prepare Your Presentation: Practice walking through your portfolio projects, focusing on your design process, decision-making, and how you handled challenges. Be ready to discuss your comfort with code and the company's values.

• Research GC AI: Understand their product, target market (in-house legal teams), recent funding, and company mission. Be prepared to articulate why you are a good fit for their high-pace, mission-driven culture.

⚠️ 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.