Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Augment

Location: San Francisco, California, United States

Job Type: FULL_TIME

Category: Product Design / UX Design

Date Posted: December 18, 2025

Experience Level: 5+ Years Experience

🚀 Role Summary

• Drive the end-to-end design process for AI-powered logistics solutions, from discovery research to high-fidelity UI, focusing on complex system-oriented work.

• Own information architecture, navigation, interaction design, and task flows for web and desktop/mobile surfaces that automate complex operational workflows.

• Partner closely with Product Managers, Engineers, Data Scientists, and Go-to-Market teams to shape product strategy, roadmap, and requirements, connecting UX outcomes to business metrics.

• Champion a high bar for UX practice within a rapidly evolving AI landscape, translating user needs and enterprise requirements into intuitive and impactful design solutions.

• Contribute to and manage a cohesive design system, ensuring consistency and scalability across the product suite, with a focus on B2B enterprise needs.

📝 Enhancement Note: This role is positioned as a seasoned Product Designer with significant ownership and strategic influence, particularly in the complex domain of AI for logistics operations. The emphasis on "AI teammates" and "autonomous operations" suggests a focus on designing proactive, intelligent features rather than just passive tools. The role requires a blend of strategic thinking, deep UX craft, and the ability to navigate ambiguity in a cutting-edge technology space.

📈 Primary Responsibilities

• Collaborate with Product Managers, Engineers, Designers, and Customers to synthesize themes across AI product needs, enterprise requirements, and company policies, identifying user impact for customers, end-users, and content owners.

• Establish and maintain a high standard for UX practice, using design to articulate and resolve tradeoffs in accuracy, latency, cost, safety, and trust within AI-driven features.

• Lead the design vision for specific product areas, driving 0→1 feature launches and 1→N improvements for workflows involving recording, summarization, Q&A, and task automation.

• Define product strategy, roadmap, and requirements in close partnership with product, engineering, data science, and go-to-market teams, linking UX research and outcomes to adoption, retention, and support metrics.

• Execute the full design lifecycle: problem framing, user flows, wireframes, prototypes, and high-fidelity UI, with meticulous attention to empty states, edge cases, and error handling for AI variability.

• Communicate design rationale effectively, build consensus, and influence decisions among cross-functional partners and leadership, facilitating design critiques and reviews.

• Proactively reduce uncertainty in a fast-moving AI landscape by developing framed hypotheses and conducting lean user tests.

• Ensure a cohesive user experience across AI-powered features such as meeting transcription, note generation, agent conversations, and retrieval-augmented question answering.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on strategic product involvement, driving new feature development from concept to launch, and managing the inherent complexities and ambiguities of AI product design. The expectation to "connect UX research and outcomes to adoption, retention, and support metrics" indicates a need for data-driven design decisions and a clear understanding of business impact.

🎓 Skills & Qualifications

Education: Not explicitly specified, but a Bachelor's or Master's degree in Design, Human-Computer Interaction, or a related field is typically expected for this experience level.

Experience: 5+ years of product design experience with a proven portfolio showcasing complex, system-oriented work that has been successfully shipped to production.

Required Skills:

• Extensive experience in product design, with a strong portfolio demonstrating end-to-end design ownership and system-level thinking.

• Proficiency in designing for B2B and enterprise environments, understanding the nuances of buyer and end-user needs, including admin controls, privacy, and auditability.

• Ability to design at scale and contribute to or manage a cohesive design system.

• Comprehensive experience in discovery research, user journey mapping, service blueprinting, prototyping, and usability testing, with a focus on measurable outcomes.

• Proven track record in both interaction design and visual design.

• Exceptional communication and presentation skills, capable of crafting compelling narratives grounded in user and business impact for diverse audiences.

• Demonstrated leadership in driving initiatives autonomously, influencing stakeholders, and operating with minimal direction.

Preferred Skills:

• Experience designing AI/LLM experiences, including meeting transcription, note generation, RAG-based Q&A, summarization, and agentic task automation.

• Familiarity with UX evaluation for AI systems, including displaying grounding/citations, confidence/quality signals, and feedback loops for continuous improvement.

• Understanding of enterprise data residency, permissions, and governance requirements and their impact on UX.

• Comfort collaborating with engineering on feasibility, instrumentation, and experimentation; familiarity with Python/TypeScript backends or prompt/version management workflows.

• Background in design systems for complex applications, including contribution models and accessibility at scale.

📝 Enhancement Note: The requirements emphasize a seasoned designer with a blend of strategic thinking, hands-on execution, and leadership capabilities. The preference for AI/LLM experience and understanding of enterprise governance highlights the specialized nature of this role within the logistics tech sector. A strong portfolio showcasing complex B2B SaaS products is critical.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A robust portfolio showcasing at least 5 years of product design experience, with a focus on complex, system-oriented projects that have been shipped to production.

• Demonstrations of end-to-end design process, including discovery research, user journey mapping, service blueprints, prototyping, and usability testing with measurable outcomes.

• Examples of designing for B2B enterprise needs, highlighting an understanding of admin controls, privacy, and auditability features.

• Case studies illustrating the ability to manage complexity, reconcile competing constraints, and deliver clear, iterative solutions for intricate problems.

Process Documentation:

• Case studies that clearly articulate the problem framing, user flows, wireframes, prototypes, and high-fidelity UI developed for specific features or products.

• Documentation of how design decisions were informed by user research, business requirements, and technical constraints, particularly in the context of AI variability.

• Examples of how design has been used to illuminate tradeoffs in accuracy, latency, cost, safety, and trust for AI-driven features.

• Demonstrations of collaboration with Product Managers, Engineers, and Data Scientists, showcasing how design contributed to product strategy, roadmap, and requirements.

• Evidence of how UX outcomes were connected to adoption, retention, and support metrics.

📝 Enhancement Note: The portfolio is the primary tool for demonstrating the required skills. It must go beyond visual design to showcase strategic thinking, problem-solving in complex system environments, and a data-driven approach to UX, especially within the AI and B2B logistics context. Detailed process documentation within case studies is crucial.

💵 Compensation & Benefits

Salary Range: Given the location (San Francisco, CA), experience level (5+ years), and the nature of the role (Product Designer at an AI/Logistics startup), a competitive salary range is expected. For a Senior Product Designer in San Francisco, typical ranges can fall between $140,000 - $200,000+ annually, depending on exact seniority, specific skills, and the company's funding stage.

Benefits:

• Competitive Salary

• Stock Options

• Comprehensive Health Benefits

• Vision Benefits

• Dental Benefits

• Flexible Paid Time Off (PTO)

• Monthly Stipend (details to be clarified, but potentially for remote work, wellness, or professional development)

Working Hours: This is a full-time role, typically implying around 40 hours per week. However, given the startup environment and the nature of product design, flexibility may be expected, with potential for longer hours during critical project phases, balanced by flexible PTO.

📝 Enhancement Note: The salary estimate is based on industry benchmarks for Product Designers in high-cost-of-living areas like San Francisco, considering the startup environment which often compensates with equity (stock options) alongside a competitive base salary. The provided benefits are standard for tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focusing on AI-driven solutions for the Logistics sector. This includes freight brokerage, carrier management, and 3PL operations.

Company Size: Augment appears to be a growing startup, likely in the Seed to Series A funding stage, indicating a dynamic, fast-paced environment with a focus on scaling.

Founded: The company was founded with the insight that logistics professionals were bogged down by manual tasks, aiming to transform the industry with AI.

Team Structure:

• The Product Design function is likely scaling, with this role being key to its growth.

• Designers will work in close-knit, cross-functional teams alongside Product Managers, Engineers, Data Scientists, and Go-to-Market specialists.

• The reporting structure is likely flat, with designers reporting to a Head of Product, Design Lead, or CTO.

Methodology:

• Data Analysis & Insights: UX research, user data analysis, and A/B testing are crucial for informing design decisions and measuring impact.

• Workflow Planning & Optimization: Designing AI teammates to automate complex workflows and streamline operations is the core mission.

• Automation & Efficiency: Implementing AI-driven solutions to enhance efficiency, reduce manual effort, and improve strategic focus for logistics professionals.

Company Website: https://www.goaugment.com/

📝 Enhancement Note: Augment is positioned as an innovator in the logistics tech space, leveraging AI to solve critical industry inefficiencies. The culture is likely entrepreneurial, collaborative, and focused on rapid growth and impact. The emphasis on "AI teammates" suggests a forward-thinking approach to product development and user interaction.

📈 Career & Growth Analysis

Operations Career Level: This role is for a seasoned Product Designer, likely at a Senior or Lead level, given the 5+ years of experience requirement and the expectation to own design vision, drive 0→1 launches, and manage systems.

Reporting Structure: Typically, a Senior Product Designer would report to a Head of Product, Design Director, or a VP of Product/Engineering. They would work closely with Product Managers and Engineering leads.

Operations Impact: The Product Designer will have a direct and significant impact on the core business operations of Augment's clients by designing AI solutions that automate critical logistics workflows. Success in this role will translate to increased client efficiency, reduced operational costs, and improved strategic focus for logistics professionals, ultimately driving Augment's revenue and market adoption.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in designing for complex AI/LLM applications, B2B enterprise software, and the specific challenges within the logistics industry.

• Leadership Development: Opportunity to establish and scale the design function, potentially leading a team of designers as the company grows, and mentoring junior designers.

• Strategic Influence: Play a key role in shaping product strategy and roadmap, influencing the direction of AI in logistics technology.

• Cross-functional Expertise: Gain deep experience working across product, engineering, data science, and go-to-market functions.

📝 Enhancement Note: This role offers substantial growth potential, particularly for individuals looking to specialize in AI product design within a high-impact industry. The opportunity to shape a design function from an earlier stage is a significant draw for ambitious designers.

🌐 Work Environment

Office Type: The role is based in San Francisco and is described as "On-site," suggesting a physical office environment. This fosters in-person collaboration, spontaneous brainstorming, and team cohesion.

Office Location(s): San Francisco, California, United States. This prime tech hub location offers access to talent, innovation, and a vibrant ecosystem.

Workspace Context:

• Collaborative Environment: The emphasis on cross-functional partnership suggests an open and collaborative workspace designed to facilitate communication and teamwork.

• Operations Tools & Technology: Access to standard design and collaboration tools (e.g., Figma, Sketch, Adobe Creative Suite, Miro, Slack) will be provided, along with potential exposure to AI development tools.

• Team Interaction: Ample opportunities for direct interaction with Product Managers, Engineers, Data Scientists, and potentially customers through user research and feedback sessions.

Work Schedule: As a full-time, on-site role, standard business hours (e.g., 9 AM - 5 PM Pacific Time) are expected, with flexibility often afforded in startup environments. The on-site requirement is crucial for fostering the collaborative culture Augment aims for.

📝 Enhancement Note: The on-site requirement in San Francisco indicates a company that values in-person collaboration and team synergy, common in early-stage startups aiming for rapid innovation and cultural cohesion.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will assess your resume and portfolio for alignment with the role's requirements.

• Portfolio Review & Design Exercise: Expect a deep dive into your portfolio, potentially with a take-home design challenge or an in-person/virtual workshop focusing on a specific problem relevant to Augment's product. This will assess your design process, problem-solving skills, and ability to articulate design rationale.

• Cross-functional Interviews: Interviews with Product Managers, Engineers, and potentially other designers to evaluate collaboration style, technical understanding, and alignment with team dynamics.

• Leadership Interview: A final interview with senior leadership (e.g., Head of Product, CEO) to assess strategic thinking, leadership potential, and cultural fit.

Portfolio Review Tips:

• Showcase End-to-End Process: Clearly articulate the problem, your role, the research conducted, design decisions, iterations, and final outcomes with measurable results.

• Highlight Complex Systems: Emphasize projects involving intricate workflows, multiple user types, or system-level design challenges, especially those related to AI or B2B enterprise software.

• Demonstrate AI/LLM Experience: If applicable, feature projects involving AI/LLM applications, explaining the unique UX considerations and solutions.

• Quantify Impact: Use metrics to demonstrate the business impact of your design work (e.g., increased adoption, reduced task time, improved user satisfaction).

• Tailor to Augment: Understand Augment's mission in logistics and AI, and highlight projects that demonstrate relevant skills or insights.

Challenge Preparation:

• Understand Augment's Product: Research their AI solutions for logistics and identify potential user pain points or areas for improvement.

• Practice Problem Framing: Be prepared to deconstruct a complex problem, define user needs, and identify key constraints.

• Articulate Design Tradeoffs: Practice explaining the rationale behind your design decisions, including why certain features were prioritized or how tradeoffs (e.g., accuracy vs. speed) were managed.

• Prepare for AI-Specific UX: Think about how to design for AI variability, uncertainty, and the user's trust in autonomous systems.

📝 Enhancement Note: The interview process is designed to thoroughly evaluate a candidate's design craft, strategic thinking, and ability to operate in a complex, AI-driven B2B environment. A well-prepared, impactful portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop). Figma is often the industry standard for collaborative design.

• User Research & Testing: Tools like UserTesting.com, Lookback, Maze, or internal UXR platforms.

• Collaboration & Communication: Slack, Jira, Confluence, Asana, Trello for project management and team communication.

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, Google Analytics for tracking user behavior and feature adoption.

• Data Visualization: Tableau, Looker, or internal dashboards for understanding user metrics and business performance.

CRM & Automation:

• While not directly a designer's tool, understanding how design integrates with CRM (e.g., Salesforce) and automation platforms (e.g., Zapier, Workato) is beneficial for B2B product design, especially concerning data flow and user workflows.

• Familiarity with prompt engineering tools or AI model versioning systems might be relevant if contributing to AI-specific feature development.

📝 Enhancement Note: Proficiency in core design tools like Figma is essential. Experience with product analytics and a general understanding of how design interfaces with backend systems and AI models will be advantageous, particularly given the company's focus on AI and logistics operations.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Focus: A drive to leverage cutting-edge AI technology to solve real-world logistics problems and create "AI teammates."

• Customer-Centricity: Deep understanding of freight, logistics, and technology implementation, with a commitment to optimizing customer workflows and freeing teams for strategic work.

• Efficiency & Automation: A core belief in automating complex processes to improve productivity and allow human teams to focus on high-value tasks.

• Collaboration & Ownership: A culture where cross-functional teams work closely together, and individuals are empowered to take ownership of their areas.

• Data-Driven Decision Making: Using user research and analytics to inform design choices and measure the impact of solutions.

Collaboration Style:

• Cross-functional Integration: Designers are embedded within product teams, working hand-in-hand with PMs, Engineers, and Data Scientists from ideation to launch.

• Iterative Feedback Loops: Regular design crits, stakeholder reviews, and user feedback sessions are integral to the design process.

• Knowledge Sharing: Encouraging the sharing of best practices, insights from research, and learnings from experiments to foster continuous improvement across the team.

📝 Enhancement Note: Augment's values likely revolve around innovation in AI for logistics, a strong customer focus, and a highly collaborative, ownership-driven culture. The emphasis on "AI teammates" suggests a forward-thinking and human-centric approach to automation.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Navigating the inherent uncertainty and variability of AI models, and designing user experiences that are robust, transparent, and trustworthy.

• Complex Logistics Workflows: Understanding and designing for the intricate, often legacy, operational processes within the logistics industry.

• Scaling Design Systems: Developing and maintaining a cohesive design system that can support a rapidly evolving product suite and diverse user needs.

• Balancing Enterprise Needs with AI Innovation: Integrating stringent enterprise requirements (security, governance, auditability) with the rapid development cycles of AI features.

• Cross-functional Alignment in a Fast-Paced Environment: Ensuring consistent communication and alignment across Product, Engineering, Data Science, and Go-to-Market teams as the company scales.

Learning & Development Opportunities:

• AI/LLM UX Specialization: Becoming an expert in designing for cutting-edge AI technologies and their applications in enterprise settings.

• Industry Expertise: Gaining deep domain knowledge in the complex logistics and supply chain industry.

• Design Leadership: Opportunity to shape and potentially lead the design function for a high-growth startup.

• Product Strategy Influence: Contributing significantly to the strategic direction and roadmap of an innovative AI product.

• Mentorship: Learning from experienced founders and team members in a dynamic startup environment.

📝 Enhancement Note: This role presents significant challenges and rewards, particularly for designers eager to work at the forefront of AI and enterprise software within a critical industry. The growth opportunities are substantial for those who thrive in dynamic, complex environments.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a complex system with significant technical constraints and competing user needs. How did you approach it, and what was the outcome?" (Focus on process, problem-solving, and impact.)

• "How would you approach designing an AI feature that needs to balance accuracy with speed and user trust? Walk me through your thought process and potential design solutions." (Assess AI UX thinking and tradeoff management.)

Company & Culture Questions:

• "What excites you about Augment's mission to transform the logistics industry with AI?" (Demonstrate research and genuine interest.)

• "Describe your ideal team environment and how you contribute to a collaborative culture." (Assess cultural fit and teamwork.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your specific role and contributions, the design process, key decisions, and the measurable impact.

• Show, Don't Just Tell: Use visuals (wireframes, prototypes, final UI) to illustrate your design journey and solutions.

• Emphasize AI/B2B Relevance: Highlight projects that align with Augment's focus on AI, enterprise software, and complex operational workflows.

• Be Ready for Deep Dives: Anticipate questions about your design choices, the challenges you faced, and how you iterated based on feedback or data.

• Quantify Outcomes: Use metrics and data to showcase the success of your designs and their business impact.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, a robust design process, and a clear understanding of AI and B2B enterprise design challenges. Tailoring responses to Augment's mission and the logistics industry will be crucial.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Ensure your portfolio prominently features complex, system-oriented projects, ideally demonstrating experience with B2B enterprise software and/or AI/LLM applications. Highlight your end-to-end design process and quantifiable outcomes.

• Resume Optimization: Tailor your resume to emphasize your 5+ years of experience, specific design skills (information architecture, interaction design, prototyping, UXR), leadership capabilities, and any relevant experience in AI, logistics, or B2B SaaS.

• Prepare for Design Challenges: Practice articulating your design process and rationale, and be ready to discuss how you approach ambiguity and complex problem-solving, especially within an AI context.

• Research Augment: Understand their mission, product offerings, and the challenges within the logistics industry to effectively articulate your interest and how your skills align with their goals.

⚠️ 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.

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