Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Nash

Location: San Francisco, California, United States

Job Type: FULL_TIME

Category: Product Design / UX / Design Engineering

Date Posted: 2026-09-08

Experience Level: 7+ Years

Remote Status: Hybrid

🚀 Role Summary

• This role is a unique blend of Product Designer and Design Engineer, focusing on creating intuitive yet technically robust user experiences for complex logistics operations.

• You will be responsible for designing real-time, operational interfaces for dispatchers, operations managers, and drivers, with a significant emphasis on AI-native and agentic AI product experiences.

• The position requires a strong understanding of B2B product design, component-based thinking, and the ability to rapidly iterate on designs, potentially through code-based prototypes.

• You will work closely with engineering and sales teams, embedding within development cycles to ensure fast progress and effective customer need validation.

📝 Enhancement Note: The role is positioned at the intersection of UX and Design Engineering, indicating a need for candidates who can not only conceptualize user flows but also contribute to or understand the technical implementation, especially with AI tools. The "old double diamond" contrast suggests a preference for agile, iterative development methodologies over traditional phased approaches.

📈 Primary Responsibilities

• Conduct user research, including interviews and feedback analysis, to deeply understand customer needs and validate design decisions.

• Design dense, operational web and mobile user interfaces for critical logistics functions such as dispatch workspaces, routing, agent management, order processing, and real-time data visualization.

• Rapidly create concepts and prototypes, leveraging tools like Figma and AI-powered tools (Claude, Cursor, v0) for faster validation and iteration.

• Prepare and deliver client-facing product demonstrations, effectively presenting and defending design strategies to internal and external stakeholders.

• Contribute to the development and evolution of Nash's design system, including components, design tokens, and variables.

• Drive the integration of agentic AI and LLM-powered workflows to create seamless and native experiences for logistics operators.

• Collaborate closely with engineering teams on a daily basis, refining scope, resolving technical feasibility trade-offs, and ensuring high-quality implementation of designs.

• Partner with sales teams to gather direct customer insights and translate them into product improvements and new features.

📝 Enhancement Note: The emphasis on "client-facing demos" and "preparing and running client-facing demos" suggests this role involves significant stakeholder interaction and requires strong presentation and persuasion skills, beyond typical design responsibilities. The "embedded with engineering teams" and "work day-to-day inside engineering teams" implies a highly collaborative and integrated design process.

🎓 Skills & Qualifications

Education: Not explicitly stated, but a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for this level of experience. Equivalent practical experience will also be considered.

Experience: 7+ years of product/UX design experience with a proven track record of shipping complex products, particularly in B2B environments.

Required Skills:

• Strong product and UX design expertise with a portfolio showcasing shipped work in complex product environments.

• Proven experience in B2B product design, with a focus on complex workflows, professional users, and data-dense interfaces.

• Excellent discovery skills, with the ability to quickly identify core customer problems and demonstrate how research has informed design decisions.

• Proficient in component-based thinking, understanding modern web patterns and how design maps to frontend implementation (e.g., atomic design principles).

• Technical fluency, enabling comfortable collaboration with engineers, understanding of technical constraints, and ability to interact with design token files.

• Active, daily use of Large Language Models (LLMs) and AI prototyping tools as an integral part of the design workflow.

• A strong bias for fast iteration and a preference for shipping multiple rapid iterations over large, single releases.

• Clear and effective communication skills in English, with comfort in presenting to clients and adapting to evidence-based feedback. Preferred Skills:

• Deep expertise in design systems, including tokens, variables, theming, and advanced Figma component architecture.

• Experience with design engineering or prototyping directly in code (e.g., React, Tailwind CSS) or advanced AI tools (e.g., v0, Cursor, Claude).

• Prior experience in logistics, supply chain, or operations tooling.

• Experience designing products that leverage agentic AI or LLM-powered capabilities.

• Familiarity with mobile design patterns for iOS and Android.

📝 Enhancement Note: The requirement for "7+ years" of experience, coupled with the complexity of B2B operational interfaces and AI integration, suggests this is a senior-level or lead product design role. The emphasis on "active, daily use of LLMs" is a critical differentiator, pointing towards a forward-thinking design team actively embracing AI in their workflows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 7+ years of product/UX design work, with a strong emphasis on complex, data-dense B2B applications.

• Include case studies that clearly articulate the problem, your discovery process, design rationale, and the impact of your solutions, particularly in operational contexts.

• Demonstrate experience with component-based design and how you've contributed to or utilized design systems.

• Highlight examples of rapid iteration and fast prototyping, ideally showing the evolution of a design through multiple stages.

• If applicable, include examples of work involving AI tools or LLM integrations in your design process. Process Documentation:

• Case studies should detail the "Define → Build → Test → Design → Ship" methodology, illustrating how real, working software was validated early in the process.

• Provide examples of how user research and feedback analysis directly shaped design decisions and product outcomes.

• Showcase your approach to collaborating within engineering teams and managing feasibility trade-offs.

• Illustrate your contribution to or understanding of design systems, including components, tokens, and variables.

📝 Enhancement Note: The explicit mention of the "Define → Build → Test → Design → Ship" process, contrasting with the "old double diamond," means candidates should prepare portfolio examples that highlight this iterative, code-centric validation approach rather than purely theoretical design exercises. Demonstrating the ability to prototype quickly, potentially in code or with AI tools, will be crucial.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 7+ years of experience in San Francisco, California, a competitive salary range is estimated between $150,000 - $200,000 annually. This estimate considers the high cost of living in San Francisco, the senior experience level required, and the specialized nature of the role (combining UX with design engineering and AI tooling). Industry benchmarks from similar tech companies in the Bay Area were consulted.

Benefits:

• Competitive compensation package.

• Opportunity for equity in an early-stage, well-funded startup.

• Flexible paid time off (PTO) to support work-life balance.

• Comprehensive health, dental, and vision insurance coverage for US employees.

• Quarterly team on-sites designed for bonding and collaboration.

Working Hours: Full-time position, typically around 40 hours per week, with flexibility expected given the startup environment and the need for rapid iteration.

📝 Enhancement Note: The salary range is an estimate based on industry standards for senior product designers in a high-cost-of-living area like San Francisco, combined with the specialized skills in design engineering and AI. The benefits package reflects typical offerings for startups aiming to attract top talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Logistics Technology (LogTech) and AI-native Orchestration Platform. Nash operates at the intersection of e-commerce logistics, AI, and software infrastructure, aiming to revolutionize how goods are moved and delivered in real-time.

Company Size: Early-stage, well-funded startup. This implies a dynamic, fast-paced environment where individual contributions have a significant impact.

Founded: 2021. Founded by experienced entrepreneurs with prior success in Y Combinator and previous ventures, indicating a strong foundation and ambitious growth trajectory.

Team Structure:

• The design team is small, offering high ownership and direct access to customers and users.

• Designers are embedded within engineering teams, fostering close collaboration and agile development cycles.

• Cross-functional collaboration is a core tenet, with designers partnering closely with engineering, sales, and product management. Methodology:

• Emphasis on a "Define → Build → Test → Design → Ship" process, prioritizing rapid validation of working software over traditional design phases.

• AI-native approach to product development, integrating LLMs and AI tools into the core workflow for efficiency and innovation.

• Data-driven decision-making, informed by customer needs, user research, and product performance metrics.

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

📝 Enhancement Note: The company culture is characterized by speed, innovation, and a hands-on approach, driven by experienced founders and a small, impactful team. The emphasis on AI and a non-traditional design process ("Define → Build → Test → Design → Ship") signals a unique operational environment.

📈 Career & Growth Analysis

Operations Career Level: This role is for a seasoned Product Designer with 7+ years of experience, functioning at a senior or lead level. The responsibilities extend beyond traditional UX to include design engineering aspects, client-facing presentations, and direct embedding within engineering teams, signifying a high degree of autonomy and influence.

Reporting Structure: As part of a small design team, you will likely report to a Head of Design, VP of Product, or a similar senior leadership role. You will work closely with Engineering Leads and Product Managers within your embedded teams.

Operations Impact: Your work will directly shape the core operational tools used by major commerce brands and platforms, influencing the efficiency, speed, and reliability of real-time logistics orchestration. This role has a significant impact on the product's core functionality and user adoption within critical business operations.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in designing complex operational interfaces, AI-native product experiences, and advanced design systems.

• Leadership Potential: Potential to grow into a lead design role within the engineering teams or contribute to scaling the design function as the company grows.

• Technical Skill Development: Opportunity to hone skills in design engineering, code-based prototyping, and leveraging cutting-edge AI tools directly in the product development lifecycle.

• Industry Specialization: Gain specialized knowledge in the rapidly evolving fields of AI-driven logistics and supply chain technology.

📝 Enhancement Note: The growth path for this role is strongly tied to the company's growth trajectory and the candidate's ability to contribute beyond standard design tasks, venturing into design engineering and strategic product input. The "embedded" nature suggests a direct path to influencing product direction.

🌐 Work Environment

Office Type: Nash offers a hybrid work environment. While remote is an option for US employees, the company also emphasizes in-person collaboration through quarterly team on-sites.

Office Location(s): Headquarters in San Francisco, California. The company is open to remote employees within the United States.

Workspace Context:

• A fast-paced startup environment that values rapid iteration and direct impact.

• Highly collaborative setting where designers work intimately with engineers, sales, and product teams.

• Access to modern design and AI tools, fostering an innovative and efficient workflow.

• Opportunities for direct interaction with end-users and key stakeholders, providing rich context for design decisions.

Work Schedule: Full-time, approximately 40 hours per week. The startup culture may require flexibility and a results-oriented approach to work hours, especially during critical development phases.

📝 Enhancement Note: The hybrid model, combined with quarterly on-sites, aims to balance remote flexibility with crucial in-person team building and intensive collaboration sessions essential for a fast-moving startup.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screen: A brief conversation to assess basic qualifications, role understanding, and cultural fit.

• Portfolio Presentation & Design Challenge: A deeper dive where candidates present their portfolio, focusing on case studies that demonstrate their approach to complex B2B product design, rapid iteration, and AI integration. A design challenge may be assigned, potentially involving prototyping or problem-solving relevant to logistics operations.

• Technical/Engineering Interview: An interview focused on technical fluency, understanding of component-based systems, and comfort with code-based prototyping or AI tool usage.

• Team/Hiring Manager Interviews: Discussions with potential teammates and the hiring manager to assess collaboration style, problem-solving abilities, and strategic thinking.

• Final Round: May involve discussions with founders or senior leadership to evaluate overall fit and vision alignment.

Portfolio Review Tips:

• Focus on Process: Clearly articulate your "Define → Build → Test → Design → Ship" methodology. Show how you validated ideas early and iterated rapidly.

• Highlight AI Integration: Showcase any projects where you used AI tools (Claude, Cursor, v0, etc.) or designed AI-powered features. Explain the benefits and challenges.

• B2B & Operational Complexity: Emphasize your experience with complex, data-dense B2B interfaces. Explain how you catered to professional users and operational workflows.

• Technical Fluency: Be prepared to discuss your understanding of component systems, design tokens, and how your designs translate into frontend code. If you have code-based prototypes, be ready to walk through them.

• Impact & Metrics: Quantify the impact of your designs whenever possible. How did your work improve efficiency, reduce errors, or enhance user satisfaction in operational settings?

• Client-Facing Experience: If applicable, mention or show examples of presenting designs to clients and stakeholders.

Challenge Preparation:

• Be ready to discuss how you would approach designing a specific operational workflow within logistics, potentially focusing on real-time data, AI assistance, or dispatching.

• Practice articulating your design decisions, justifying them with user research and technical considerations.

• Prepare to discuss trade-offs and how you would balance speed of delivery with design quality.

• Understand Nash's core business and target users (dispatchers, operations managers, drivers) to inform your approach.

📝 Enhancement Note: The interview process strongly emphasizes practical application and technical capability. Candidates should prepare to demonstrate their ability to "ship" and iterate quickly, using AI tools, and collaborate closely with engineers. The portfolio review is critical for showcasing the specific type of iterative, technically-informed design process Nash is seeking.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design and prototyping, with an expectation of advanced component creation and system design.

• AI Prototyping Tools: Active daily use of LLMs and AI tools such as Claude, Cursor, and v0 is expected for rapid concept generation and validation.

• Design System Tools: Tools or methodologies for managing design tokens, variables, and component libraries.

Analytics & Reporting:

• While not explicitly stated, familiarity with product analytics tools (e.g., Amplitude, Mixpanel) to understand user behavior and measure design impact would be beneficial.

• Ability to interpret data visualizations and contribute to the design of data-rich operational dashboards. CRM & Automation:

• Experience with B2B CRM systems is advantageous for understanding the customer context.

• Familiarity with workflow automation concepts will be helpful, given the company's focus on logistics orchestration.

• Frontend Technologies (Preferred): Experience with React and Tailwind CSS is highly desirable for code-based prototyping and closer collaboration with engineers.

📝 Enhancement Note: The explicit mention of Figma, Claude, Cursor, and v0 highlights Nash's commitment to leveraging cutting-edge AI and design tools. Experience with React and Tailwind CSS is a strong plus, indicating a preference for designers who can bridge the gap between design and frontend development.

👥 Team Culture & Values

Operations Values:

• Speed and Iteration: A strong bias for fast progress, rapid iteration, and short concept-to-validation loops. The "Define → Build → Test → Design → Ship" methodology embodies this.

• AI-Native: A commitment to integrating AI and LLMs as core components of the product experience and design workflow.

• Customer-Centricity: Deep focus on understanding and solving real customer needs, driven by direct interaction with users and sales feedback.

• Technical Collaboration: A culture of embedding with engineering teams, speaking the language of developers, and understanding technical constraints.

• Ownership and Impact: As part of a small, early-stage team, individuals are expected to take significant ownership and drive tangible impact on the product and company.

Collaboration Style:

• Embedded and Integrated: Designers work day-to-day within engineering teams, fostering seamless communication and shared problem-solving.

• Cross-functional Partnership: Close collaboration with sales to gather customer insights and with product management to define strategy.

• Fast Feedback Loops: A culture that encourages quick feedback, rapid prototyping, and iterative refinement based on evidence and user input.

• Open Communication: Clear communication in English is essential, with comfort in presenting, persuading, and adapting to new information.

📝 Enhancement Note: Nash's culture is geared towards rapid execution and innovation, heavily leveraging AI. The collaborative model emphasizes deep integration with engineering and a proactive approach to understanding customer needs through direct engagement.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Creating intuitive interfaces for dense, real-time operational data and complex logistics workflows requires significant problem-solving and user empathy.

• Rapid Iteration Pace: Adapting to a fast-paced development cycle ("ship three rough rounds") requires resilience and a focus on delivering value quickly.

• AI Integration Nuances: Effectively designing for agentic AI and LLM-powered features, ensuring they feel native and genuinely enhance operator efficiency, presents a unique design challenge.

• Balancing Design and Engineering: Bridging the gap between conceptual design and technical implementation, especially when prototyping in code or using AI tools, demands a versatile skill set.

Learning & Development Opportunities:

• AI Design Specialization: Become a leader in designing AI-native product experiences within the logistics domain.

• Design Engineering Proficiency: Enhance skills in code-based prototyping (React, Tailwind) and leveraging advanced AI design tools.

• Logistics Domain Expertise: Develop deep knowledge of the logistics and supply chain industry, understanding its operational intricacies and technological advancements.

• Startup Growth: Gain invaluable experience in a high-growth startup environment, contributing to company-wide strategies and scaling processes.

• Leadership within a Small Team: Opportunity to shape design processes and mentor junior team members as the design function matures.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role and the industry. The growth opportunities are significant for individuals looking to specialize in AI-driven product design and gain broad experience in a rapidly scaling tech company.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex, data-dense operational interface. What were the key challenges, and how did you approach them?" (Focus on your process, user research, and iterative design.)

• "How do you integrate AI tools like Claude or v0 into your design workflow? Can you provide an example of a project where AI helped you iterate faster or discover new solutions?" (Highlight practical application and benefits.)

• "Nash uses a 'Define → Build → Test → Design → Ship' methodology. How does this compare to your previous design processes, and how would you adapt to it?" (Emphasize your adaptability and understanding of rapid validation.)

• "Imagine you're designing a real-time dispatch dashboard. What are the critical elements to consider, and how would you prioritize features for an initial release?" (Demonstrate your strategic thinking and understanding of operational needs.) Company & Culture Questions:

• "What interests you most about Nash's mission and the AI-native approach to logistics?" (Research Nash's market position and AI strategy.)

• "How do you approach collaboration with engineering teams, especially when technical constraints arise?" (Showcase your technical fluency and collaborative spirit.)

• "What are your thoughts on the future of AI in operational software, and how do you see product design evolving alongside it?" (Demonstrate forward-thinking and industry awareness.)

• "Describe your experience with design systems. How do you contribute to or leverage them for efficient product development?" (Highlight your understanding of scalable design.) Portfolio Presentation Strategy:

• Storytelling is Key: For each case study, tell a compelling story about the problem, your journey, and the impact.

• Show, Don't Just Tell: Use visuals effectively. Include mockups, prototypes, user flows, and ideally, any code snippets or AI-generated outputs you used.

• Focus on Process & Rationale: Explain why you made certain design decisions. Connect them back to user research, business goals, and technical feasibility.

• Highlight Iteration: Showcase how your designs evolved. This is crucial given Nash's emphasis on rapid iteration. Show early concepts and how they improved.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs (e.g., improved efficiency, reduced errors, increased user satisfaction).

• Be Ready for Questions: Anticipate questions about your technical skills, AI usage, B2B experience, and collaboration style.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating practical application of design skills, comfort with AI tools, understanding of B2B operational contexts, and alignment with Nash's fast-paced, iterative, and technically integrated development culture.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Customize Your Resume: Tailor your resume to highlight your 7+ years of experience in B2B product design, complex workflows, and operational interfaces. Emphasize your experience with AI tools, rapid iteration, and any design engineering contributions.

• Curate Your Portfolio: Select 2-3 impactful case studies that best showcase your experience with complex B2B products, your iterative design process (Define → Build → Test → Design → Ship), and your use of AI tools. Be prepared to discuss your contributions and the impact of your work in detail.

• Prepare Your Presentation: Practice presenting your portfolio case studies, focusing on clear storytelling, demonstrating your design rationale, and highlighting your technical fluency and AI integration skills. Be ready to articulate your understanding of Nash's mission and product.

• Research Nash: Familiarize yourself with Nash's platform, target customers (Walmart, Shopify, etc.), and their AI-native logistics orchestration approach. Understand their market position and the challenges within the logistics industry.

⚠️ 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.

---