Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Outset

Location: San Francisco, California, United States

Job Type: FULL_TIME

Category: Product Design / Engineering

Date Posted: 2026-08-05

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

Remote Status: Hybrid (4 days in office)

🚀 Role Summary

• Design and develop AI-native, generative product experiences that blend intuitive user interfaces with powerful AI capabilities.

• Own the end-to-end design process, from conceptualization and wireframing to functional, code-based prototyping and potential production shipping.

• Leverage AI coding tools (e.g., Claude Code, Cursor) as integral components of the design workflow, accelerating the transition from idea to working software.

• Collaborate closely with Product Management and Engineering teams to translate complex user needs and business objectives into elegant, impactful design solutions.

• Contribute to the evolution and maintenance of a consistent, accessible design system across the product.

📝 Enhancement Note: This role is a unique blend of traditional Product Design and hands-on full-stack development, with a strong emphasis on AI-assisted workflows. The ideal candidate is not just a designer but a builder who can rapidly prototype and iterate using code. The "AI-native" aspect suggests a focus on designing interfaces and experiences that are inherently powered by or interact with AI, rather than just adding AI features to existing paradigms.

📈 Primary Responsibilities

• Partner with Design, Product, and Engineering to craft user experiences that demonstrably drive business impact and user adoption.

• Develop wireframes, interactive prototypes, and high-fidelity visual designs for new and existing product features.

• Build functional, front-to-back prototypes in code (HTML/CSS/JS, Python) as the most efficient method for validating ideas and design solutions.

• Integrate AI coding assistants (Claude Code, Cursor, etc.) into daily workflows for rapid prototyping, exploration, and iterative development.

• Utilize full-stack coding skills (HTML/CSS/JS, Python) to prototype, iterate, and potentially ship functional code to production environments.

• Operate effectively within a real development environment, including Git workflows, local setup, code reviews, and close collaboration with engineers.

• Conduct user research, usability testing, and gather feedback to ensure designs are user-centered, data-informed, and meet user needs.

• Contribute to and maintain a consistent, accessible, and scalable design system, ensuring brand consistency and design efficiency.

• Collaborate in person at the San Francisco office at least four days per week, fostering strong working relationships with design, product, and engineering colleagues.

📝 Enhancement Note: The responsibilities highlight a "build-first" or "code-as-prototype" mentality. The expectation to "occasionally ship to production" implies that this role can have direct impact on the live product, moving beyond traditional design handoffs. Familiarity with Git and development environments is crucial for seamless integration with engineering.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Design principles, Computer Science, or a related field is implied by the technical requirements. Equivalent practical experience will be highly valued.

Experience:

• Minimum of 2-5 years of experience designing digital products, preferably within startup or SaaS environments.

• Proven track record of owning significant product surfaces and driving them from concept to completion. Required Skills:

• Exceptional design taste and a strong point of view on craft, demonstrated through a portfolio showcasing UX and visual design judgment.

• Proficiency with industry-standard design tools such as Figma, and ideally an understanding of tools like Claude Design.

• Excellent communication and storytelling skills, with the ability to clearly articulate and defend design decisions to stakeholders.

• Demonstrated ability to write and ship full-stack code, including a combination of HTML/CSS/JS and Python.

• Hands-on fluency and practical experience with AI coding assistants (e.g., Claude Code, Cursor) as primary tools for rapid development.

• Comfort operating in a developer environment, including Git, terminal usage, and local builds.

• Experience collaborating effectively in agile, cross-functional teams.

• A growth mindset, with a demonstrated willingness to experiment, iterate, and learn quickly in a fast-paced environment. Preferred Skills:

• Experience conducting user research and usability testing to inform design decisions.

• Contribution to or experience with building and maintaining design systems.

• Familiarity with reading and discussing code with engineers, and understanding PR processes.

📝 Enhancement Note: The "2-5 years" experience level is inferred from the AI's assessment of "Mid-Level" and the general expectations for roles that involve both design craft and coding proficiency. The emphasis on AI coding assistants is a critical differentiator for this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design ownership, from initial concept to final implementation.

• Case studies that clearly articulate design challenges, your thought process, problem-solving methodologies, and the impact of your solutions.

• Demonstrations of both high-fidelity visual designs and functional prototypes, ideally including examples of code-based prototypes.

• Evidence of technical proficiency, including examples of code (HTML/CSS/JS, Python) used in prototypes or shipped features.

• Examples of leveraging AI tools in the design and development process, highlighting efficiency gains and innovative approaches.

• Documentation of user research findings and how they informed design iterations and decisions. Process Documentation:

• Case studies that detail the user research and usability testing phases, including methodologies used and key insights derived.

• Workflow diagrams or explanations that illustrate the design process, particularly how AI tools and coding were integrated.

• Examples of how design systems were applied or contributed to, showcasing consistency and scalability.

• Documentation of challenges encountered during development and how they were overcome, especially those involving AI integration or coding.

📝 Enhancement Note: Given the role's emphasis on coding and AI tools, the portfolio should not just be a gallery of polished mockups but a testament to the candidate's ability to build and iterate rapidly. Including links to live projects or code repositories (if publicly available) would be highly beneficial.

💵 Compensation & Benefits

Salary Range: $170,000 - $220,000 USD per year.

Benefits:

• Equity: Opportunity to own a stake in a rapidly growing company.

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

• Generous Paid Time Off (PTO): To support work-life balance.

• Professional Development: Support for learning and growth, including conferences and training.

• Remote Work Stipend: To enhance the home office setup for hybrid work.

Working Hours: Standard 40-hour work week, with flexibility expected to meet project deadlines and collaborate effectively across time zones and with the engineering team. The hybrid model requires a minimum of 4 days per week in the San Francisco office.

📝 Enhancement Note: The provided salary range is competitive for a mid-level Product Designer with strong technical skills in a high-cost-of-living area like San Francisco. The "Equity" benefit is particularly significant for startup roles, aligning with the company's growth trajectory and funding. The hybrid requirement is specific and should be factored into candidate location decisions.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI-powered Research Technology / SaaS. Outset is disrupting the $140B+ research industry by providing AI-moderated user interviews.

Company Size: While not explicitly stated, the company has raised a $30M Series B and is growing 8x, indicating a scaling startup environment, likely between 50-200 employees.

Founded: The company was founded recently, as evidenced by its Series B funding round in December 2025, following a Series A less than six months prior. This suggests a dynamic, fast-paced, and innovative environment.

Team Structure:

• The Product Design team is likely small and tightly integrated with Product Management and Engineering, reporting to a Founding Designer or Head of Product.

• The role requires close collaboration with a founding designer, product managers, and engineers, indicating a flat, cross-functional structure.

• Expect a culture of shared ownership and direct contribution to the product's core functionality. Methodology:

• Data-driven product development, utilizing user research, usability testing, and AI-driven insights to inform design and engineering decisions.

• Agile development methodologies for rapid iteration and continuous deployment.

• Emphasis on AI-native product development, integrating AI capabilities directly into the user experience and design process.

• A "prototype-to-production" mindset where functional code is a primary tool for validation and delivery.

Company Website: https://outset.ai

📝 Enhancement Note: The company's rapid growth and significant funding suggest a highly ambitious and results-oriented culture. The "AI-native" focus is a key differentiator that shapes the entire product and operational approach.

📈 Career & Growth Analysis

Operations Career Level: This Product Designer role is positioned at a mid-career level, offering significant autonomy and ownership. It's an opportunity to shape core product experiences and influence the technical direction of an AI-first product.

Reporting Structure: The role reports to senior design leadership (likely the Founding Designer) and works in close partnership with Product Management and Engineering leads. This structure allows for direct impact and visibility.

Operations Impact: The Product Designer will have a direct impact on Outset's core product offering, which is central to its mission of transforming the research industry. Designing intuitive and powerful AI-driven experiences will directly contribute to customer acquisition, retention, and overall business growth.

Growth Opportunities:

• Technical Skill Advancement: Deepen expertise in full-stack development, AI coding tools, and modern software engineering practices.

• Product Leadership: Grow into a senior or lead designer role, taking on more strategic product decisions and mentoring junior designers.

• Domain Expertise: Develop specialized knowledge in AI, user research, and the enterprise SaaS market.

• Cross-functional Leadership: Gain experience leading design initiatives across multiple teams and contributing to product strategy.

📝 Enhancement Note: This role offers a unique growth path for designers who want to bridge the gap between design and engineering, especially within the rapidly evolving AI landscape. The opportunity to work in a fast-growing startup with significant backing provides substantial career acceleration potential.

🌐 Work Environment

Office Type: Hybrid, with a requirement for 4 days per week in the San Francisco office. This indicates a collaborative in-person work environment supplemented by remote flexibility.

Office Location(s): San Francisco, California, United States. This prime tech hub location offers access to talent and industry events.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on in-person collaboration suggest a dynamic office space designed for teamwork, brainstorming, and direct interaction with colleagues.

• Tools & Technology: Access to modern design software (Figma, etc.), AI coding tools, and development environments will be standard. Expect state-of-the-art hardware and software necessary for both design and development tasks.

• Team Interaction: Frequent interaction with design, product, and engineering teams, fostering a culture of shared learning and problem-solving.

Work Schedule: While a standard 40-hour work week is implied, the fast-paced startup environment and the nature of product development may require flexibility to meet critical deadlines or sprint goals. The hybrid schedule necessitates efficient use of in-office time for collaboration.

📝 Enhancement Note: The 4-day in-office requirement is a critical detail for candidates considering relocation or local candidates. It signals a company that values in-person collaboration for innovation and team cohesion, while still offering a degree of flexibility.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess general fit, experience, and understanding of the role's unique technical requirements.

• Portfolio Review & Technical Deep Dive: A session with the hiring manager and/or Founding Designer to review your portfolio. Expect in-depth questions about your design process, technical skills, and experience with AI tools and coding.

• Design/Coding Challenge: A practical exercise, potentially involving designing a feature and/or building a functional prototype using code and AI tools, to assess your end-to-end capabilities. This may be a take-home assignment or an in-session exercise.

• Cross-functional Interviews: Meetings with Product Managers and Engineers to evaluate collaboration style, communication skills, and ability to integrate into the existing team dynamics.

• Final Interview: A discussion with senior leadership to assess cultural fit, strategic thinking, and long-term potential within Outset.

Portfolio Review Tips:

• Showcase End-to-End Ownership: Highlight projects where you took ownership from concept to code.

• Demonstrate AI & Coding Proficiency: Include specific examples of how you used AI coding assistants and your own code (HTML/CSS/JS, Python) to build prototypes or features. Clearly explain the process and outcomes.

• Quantify Impact: Where possible, use metrics to demonstrate the business impact of your designs.

• Tell a Story: For each case study, clearly articulate the problem, your process, your role, the solutions, and the results.

• Highlight Collaboration: Show how you worked with engineers and product managers.

• Be Ready to Code: Prepare to discuss your code, explain your choices, and potentially live-code during the interview.

Challenge Preparation:

• Practice AI-Assisted Prototyping: Familiarize yourself with tools like Claude Code and Cursor. Practice generating code snippets for UI elements and interactions.

• Brush up on Full-Stack Fundamentals: Review HTML, CSS, JavaScript, and Python, focusing on areas relevant to front-end development and basic back-end logic.

• Understand Git Workflows: Be prepared to discuss version control and collaborative coding practices.

• Think About AI-Native Design: Consider how AI can be integrated not just as a feature, but as a core part of the user experience and interaction model.

📝 Enhancement Note: This process emphasizes practical skills and the ability to execute. Candidates should be prepared to demonstrate their coding and AI tool proficiency as much as their design thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Design: Figma (primary tool), Claude Design (potential).

• AI Coding Assistants: Claude Code, Cursor (required fluency).

• Prototyping: Figma, custom code (HTML/CSS/JS, Python).

• Version Control: Git.

• Development Environment: Terminal, local builds, IDEs (e.g., VS Code).

Analytics & Reporting:

• While not explicitly listed, expect to work with product analytics tools (e.g., Amplitude, Mixpanel) and potentially BI tools for understanding user behavior and feature adoption. CRM & Automation:

• Not directly relevant to the Product Designer role, but understanding how the product integrates with CRM systems (like Salesforce) or marketing automation platforms may be beneficial.

📝 Enhancement Note: The explicit mention of AI coding assistants and full-stack development tools is crucial. Candidates must demonstrate hands-on experience with these technologies.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-First: A strong commitment to leveraging AI to redefine industry standards and create novel product experiences.

• Craft & Excellence: A dedication to high-quality design and robust engineering, ensuring both aesthetic appeal and functional integrity.

• Collaboration & Transparency: Open communication and teamwork across design, product, and engineering to achieve shared goals.

• Speed & Iteration: A dynamic environment that values rapid prototyping, quick feedback loops, and continuous improvement.

• User-Centricity: A focus on understanding user needs through research and data to build impactful solutions.

Collaboration Style:

• Cross-functional Integration: Designers work hand-in-hand with engineers and product managers from the outset of a project, blurring traditional lines between roles.

• Code-Driven Feedback: Design iterations are often shared and reviewed as working code prototypes, enabling more concrete and actionable feedback.

• Shared Ownership: Team members are encouraged to take initiative and contribute to problem-solving across disciplines.

📝 Enhancement Note: The culture is likely fast-paced, demanding, and highly collaborative, with a strong emphasis on technical execution and innovation in the AI space.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Design and Development: The primary challenge is effectively integrating deep design skills with proficient full-stack coding and AI tool usage.

• Rapid Iteration in a Fast-Paced Environment: Keeping pace with aggressive product roadmaps and evolving AI technologies requires agility and continuous learning.

• Defining AI-Native Experiences: Pioneering new interaction models and user experiences that are truly AI-native, rather than simply adding AI features.

• Balancing Craft with Speed: Maintaining high design quality and technical standards while working under tight deadlines and rapid iteration cycles.

Learning & Development Opportunities:

• Mastery of AI Tools: Becoming an expert in cutting-edge AI coding and design assistants.

• Full-Stack Development Skills: Enhancing proficiency in front-end and potentially back-end development.

• Product Strategy: Contributing to the strategic direction of an innovative AI product.

• Leadership: Opportunities to grow into senior or lead design roles within a scaling organization.

📝 Enhancement Note: This role is ideal for someone who thrives on technical challenges and is eager to push the boundaries of what's possible with AI in product design.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI coding tools to accelerate your design or development process. What was the outcome?"

• "How do you balance the need for pixel-perfect design with the speed required for rapid prototyping in code?"

• "Walk me through a project where you owned a significant product surface from ideation to a coded prototype. What were the key challenges and how did you overcome them?"

• "How would you approach designing an AI-native feature for a user research platform? What are the unique considerations?" Company & Culture Questions:

• "What excites you most about Outset's mission and its approach to AI-powered research?"

• "How do you see yourself contributing to a collaborative, hybrid work environment?"

• "Describe your experience working with engineers and product managers. How do you ensure alignment and effective communication?" Portfolio Presentation Strategy:

• Code-First Examples: Prioritize showcasing projects where you built functional prototypes with code and/or leveraged AI tools extensively.

• Quantifiable Impact: Be ready to discuss metrics and how your designs/prototypes contributed to business goals.

• Process Clarity: Clearly articulate your thought process, design decisions, and technical implementation steps.

• AI Tool Demonstration: Be prepared to briefly demonstrate your proficiency with AI coding assistants if asked.

📝 Enhancement Note: Expect interviewers to probe deeply into your technical capabilities and your understanding of AI's role in product development. Be prepared to discuss your code and your process for integrating AI tools.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Craft a Portfolio Tailored to the Role: Emphasize projects demonstrating end-to-end ownership, AI tool usage, and code-based prototyping. Include specific examples of HTML/CSS/JS and Python code where applicable.

• Optimize Your Resume: Highlight keywords relevant to Product Design, full-stack development, AI coding assistants, Figma, Git, and agile methodologies. Quantify achievements where possible.

• Prepare for a Technical Interview: Be ready to discuss your portfolio in detail, answer questions about your design process, and potentially demonstrate your coding and AI tool proficiency. Practice articulating your thought process for design and technical challenges.

• Research Outset: Understand their product, mission, and the AI-powered research market. Be prepared to discuss how your skills align with their innovative approach.

⚠️ 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.