Senior UX Designer

📍 Job Overview

Job Title: Senior UX Designer

Company: Linda Werner & Associates

Location: United States

Job Type: Contract (6 Month Position)

Category: UX/UI Design, Product Design, Operations Technology

Date Posted: 2026-05-14

Experience Level: Senior (5-10 years)

Remote Status: Fully Remote

🚀 Role Summary

• End-to-End Design Ownership: Lead the complete design lifecycle for 4-6 critical internal AI-powered product surfaces, including dashboards, workflow automation tools, and AI-driven reporting interfaces.

• Design System Development: Establish and maintain a lightweight, scalable design system and component library to ensure UI/UX consistency and efficiency across all internal tools.

• AI-Native UX Design: Focus on designing intuitive interaction patterns for AI-native workflows, such as agent supervision, automated triage, intelligent recommendations, and real-time data analysis.

• Cross-Functional Collaboration: Embed directly within engineering pods, working closely with senior AI engineers in a rapid iteration environment with minimal process overhead.

• Simplification of Complexity: Translate intricate, multi-source data into streamlined, single-screen user experiences that significantly reduce context switching and enhance productivity for internal stakeholders.

📝 Enhancement Note: This role is explicitly for a sole designer within engineering teams, emphasizing autonomy and direct impact. The focus on internal tools, AI-native systems, and complex data simplification points towards a Revenue Operations or Sales Operations technology support function, where streamlined user experiences are crucial for efficiency and adoption.

📈 Primary Responsibilities

• Own the entire UX design process, from initial user research and interaction design to visual design and final UI implementation for 4-6 distinct internal product surfaces.

• Define, create, and manage a lightweight design system and a shared component library to ensure a cohesive and standardized user experience across all internal tools.

• Design novel interaction patterns specifically for AI-driven workflows, including but not limited to agent supervision interfaces, automated data triage systems, intelligent recommendation engines, and dynamic, real-time reporting dashboards.

• Collaborate intensively with senior software engineers in a pod-based structure, embracing rapid iteration cycles and minimizing formal process overhead to accelerate development.

• Strategize and execute design solutions that distill complex, multi-source data into elegant, single-screen user interfaces designed to minimize user cognitive load and context switching.

• Conduct targeted user research and practical usability testing sessions with internal stakeholders to gather feedback and validate design decisions.

• Develop rapid prototypes to quickly test new concepts and iterate on designs based on user feedback and performance data.

• Drive high user adoption rates and ensure exceptional usability of all internal tools across an organization of over 100 employees.

📝 Enhancement Note: The emphasis on "internal tools," "dashboards," "workflow automation," and "AI-powered reporting interfaces" strongly suggests this role supports revenue operations, sales operations, or GTM enablement functions. The responsibilities are geared towards optimizing internal processes and data utilization, a core tenet of RevOps and SalesOps.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in HCI, Design, Computer Science, or a related field is often preferred for Senior UX roles. Equivalent practical experience will be strongly considered.

Experience: A minimum of 5 years of professional experience is required, with a significant portion dedicated to designing complex internal tools, enterprise SaaS platforms, or developer-facing systems.

Required Skills:

• 5+ years of experience designing complex internal tools, enterprise SaaS platforms, or developer-facing systems.

• Exceptional interaction design and information architecture skills, supported by a compelling portfolio that demonstrates the ability to simplify complex workflows.

• Proven track record of operating autonomously as the sole designer within engineering-heavy teams.

• Demonstrated experience in designing data-dense interfaces, sophisticated dashboards, or intricate multi-panel layouts.

• Proficiency in user research methodologies and conducting effective usability testing.

• Ability to rapidly prototype new concepts and iterate design based on feedback.

Preferred Skills:

• Prior experience designing user interfaces for AI/ML-powered features or agentic systems.

• Experience in building, maintaining, and scaling design systems or comprehensive component libraries.

• Front-end development skills, particularly with React and TypeScript; direct ability to implement designs is a significant advantage.

• Familiarity with CRM systems and workflow automation tools from a design perspective.

📝 Enhancement Note: The explicit disqualifier for "Portfolios focused exclusively on consumer mobile apps" and the preference for "React, TypeScript" further solidify the enterprise and potentially GTM/Ops tech focus of this role. The emphasis on "simplification of complex workflows" and "data-dense interfaces" is a direct signal for candidates with experience in operational efficiency tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of end-to-end design ownership for complex internal tools or enterprise SaaS platforms.

• Case studies showcasing the simplification of intricate workflows and data-heavy interfaces.

• Examples of information architecture and interaction design for multi-panel layouts or dashboards.

• Projects highlighting collaboration with engineering teams in agile or rapid iteration environments.

Process Documentation:

• Case studies detailing the user research and usability testing process, including insights and design adjustments.

• Documentation of design system components, their usage guidelines, and version history.

• Workflow diagrams or user journey maps illustrating the simplification of complex operational processes.

• Examples of rapid prototyping methodologies and the iteration process based on feedback.

📝 Enhancement Note: The "Candidate Disqualifiers" section strongly implies that the portfolio must showcase experience with enterprise-level complexity rather than consumer-facing applications. For this role, a portfolio demonstrating the ability to design for operational efficiency, data management, and internal workflows will be paramount.

💵 Compensation & Benefits

Salary Range: As a contract role for 6 months, compensation will likely be structured as an hourly rate or fixed project fee. Based on the Senior UX Designer title, 5+ years of experience, the remote nature, and the US location, a competitive hourly rate could range from $70 to $110 USD per hour. This estimate is derived from market research for senior-level contract UX designers in the US, considering the specialized nature of AI/internal tool design and the demand for autonomous contributors.

Benefits:

• Dental insurance

• Health insurance

• Health savings account (HSA)

• Life insurance

• Paid time off (PTO)

• Retirement plan (e.g., 401k, if applicable for contract roles, or equivalent)

• Vision insurance

Working Hours: This is a full-time contract position, requiring approximately 40 hours per week, with a standard Monday to Friday schedule. Some flexibility may be afforded, but core working hours will likely align with engineering team collaboration needs and the need for rapid iteration.

📝 Enhancement Note: The inclusion of comprehensive benefits like health insurance and retirement plans for a 6-month contract role is quite generous and suggests the company values long-term contractor relationships or is seeking top-tier talent that expects robust compensation packages. The salary estimate is based on industry benchmarks for contract UX roles in the US.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company, Linda Werner & Associates, operates within the professional services or consulting sector, likely focusing on technology implementation, AI solutions, or business process optimization, given the description of building "production-grade internal tools powered by AI."

Company Size: The description mentions a "small, fast-moving team" of senior engineers and a "100+ person organization" that will use the tools. This suggests the overall organization is likely mid-sized, perhaps ranging from 100-500 employees, with a dedicated tech/product innovation unit.

Founded: While the founding date is not provided, the description of building "ground-floor" AI tools suggests a company that is either relatively new or undergoing a significant technological transformation.

Team Structure:

• The core development team consists of seven senior AI builders, forming multiple engineering pods.

• The Senior UX Designer will be the single design resource embedded across these pods, acting as the primary design leader for internal tools.

Methodology:

• Agile & Lean: The team operates with "startup-speed execution" and "rapid iteration," suggesting agile methodologies with a focus on minimal process overhead.

• Pod-Based Development: Engineers are organized into pods, implying cross-functional teams working on specific product areas or features.

• Data-Driven Design: The role involves translating "complex, multi-source data" and designing "AI-powered reporting interfaces," indicating a strong reliance on data analysis and user feedback for design decisions.

Company Website: https://lwerner.com/

📝 Enhancement Note: The company's focus on "production-grade internal tools powered by AI" strongly aligns with the needs of operations teams (RevOps, SalesOps, Marketing Ops) that rely on sophisticated technology for efficiency and data analysis. The "startup-speed execution" within a larger organization suggests a dynamic environment with the potential for significant impact.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior individual contributor, acting as the sole design expert for a critical suite of internal tools. It offers significant autonomy and ownership, akin to a lead designer role within a specialized product area.

Reporting Structure: While not explicitly stated, the Senior UX Designer will likely report to a Product Lead, Engineering Lead, or potentially a Head of Product/Technology within the organization. Given the "minimal process overhead," direct reporting lines will likely be lean, with close daily collaboration with engineering partners.

Operations Impact: The work directly impacts the daily workflows of over 100 employees, aiming to enhance productivity, streamline complex processes, and improve data utilization through AI-powered tools. This has a direct, measurable impact on operational efficiency and potentially revenue enablement.

Growth Opportunities:

• Specialization in AI/ML UX: Deepen expertise in designing for cutting-edge AI-native systems and agentic workflows, a highly in-demand skill.

• Design System Leadership: Grow the design system from its foundational stage into a mature, widely adopted asset.

• Product Strategy Influence: As the sole designer, gain significant influence over the product strategy and roadmap for internal tools.

• Portfolio-Defining Projects: Build a portfolio rich with examples of high-impact internal tool design, complex data visualization, and AI UX innovation.

• Potential for Full-Time Conversion: While a contract role, exceptional performance could lead to opportunities for full-time employment within the organization.

📝 Enhancement Note: The role offers a unique opportunity to establish and scale a design practice for internal operational technology. This is a growth path for designers interested in the intersection of AI, enterprise software, and operational efficiency.

🌐 Work Environment

Office Type: This is a fully remote position, allowing for work from any location within the United States.

Office Location(s): Remote (United States). While the company headquarters might be in a specific location, the role is entirely remote.

Workspace Context:

• Autonomous & Independent: The role requires a high degree of self-discipline and the ability to manage one's own workload and priorities without direct supervision.

• Collaborative Engineering Environment: Frequent interaction with senior engineers is expected, requiring strong communication and collaboration skills.

• Tech-Forward: Access to modern design and development tools will be provided, supporting the creation of production-grade AI tools.

• Focus on Efficiency: The environment prioritizes rapid iteration and delivering functional, high-quality tools quickly.

Work Schedule: The standard schedule is Monday to Friday, 8 hours per day, totaling 40 hours per week. While flexible, alignment with the engineering team's collaboration needs is crucial.

📝 Enhancement Note: The remote nature, combined with the emphasis on autonomy and collaboration with engineers, suggests a modern, results-oriented work environment. Candidates should be comfortable with asynchronous communication and proactive engagement.

📄 Application & Portfolio Review Process

Interview Process:

• Round 1: Portfolio Review & Design Challenge Walkthrough (60 minutes):

  • Be prepared to present and discuss 2-3 key projects from your portfolio that best demonstrate your experience with complex internal tools, data-dense interfaces, and workflow simplification.
  • Focus on your design process, problem-solving approach, and the impact of your work.
  • Be ready to articulate your design decisions and how you would approach a hypothetical design challenge related to AI-native workflows or internal tool optimization.

• Round 2: Team Fit & Collaboration Exercise (45 minutes):

  • This round will involve interacting with engineering partners. Focus on demonstrating your ability to collaborate effectively in an engineering-heavy environment, communicate technical design concepts clearly, and adapt to rapid iteration.

Portfolio Review Tips:

• Prioritize Relevance: Curate your portfolio to highlight projects most relevant to enterprise SaaS, internal tools, data visualization, and AI UX. Explicitly exclude consumer mobile apps unless they have a transferable complex data or workflow component.

• Showcase the Process: For each project, detail the problem, your role, the design process (research, ideation, iteration, testing), the solutions, and the outcomes/impact. Quantify impact where possible (e.g., adoption rates, efficiency gains).

• Demonstrate Autonomy: Select projects where you clearly worked independently or led design efforts with minimal oversight.

• Highlight AI/Complex Data: If you have experience with AI, machine learning, or designing for complex data sets, make these prominent.

• Design System Examples: If you've built or contributed to design systems, include examples of components, guidelines, and their application.

Challenge Preparation:

• Study common patterns for internal tools, dashboards, and workflow automation interfaces.

• Think about how to design for AI supervision, data triage, and intelligent recommendations.

• Be ready to articulate how you would approach designing a simplified interface for complex, multi-source data.

• Prepare to discuss your approach to establishing a lightweight design system.

📝 Enhancement Note: The interview process is heavily weighted towards practical application and collaboration. A strong portfolio showcasing relevant experience and the ability to articulate design decisions clearly and concisely will be critical. The direct engagement with engineers in the second round highlights the importance of technical communication and teamwork.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable), Sketch, Adobe XD, InVision, Axure RP. Candidates should be proficient in at least one major design and prototyping tool.

• Design System Management: Tools associated with design system creation and maintenance (e.g., Storybook, Zeroheight, or internal documentation platforms).

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

Analytics & Reporting:

• While direct analytics tool usage might be less common for UX, understanding how to interpret data from tools like Google Analytics, Mixpanel, Amplitude, or internal BI dashboards will be beneficial for informing design decisions.

CRM & Automation:

• Familiarity with the UX implications of CRM systems (e.g., Salesforce, HubSpot) and workflow automation platforms will be valuable, though direct administration is not expected.

Development Technologies (Preferred):

• Front-end Frameworks: React (strongly preferred), Vue.js, Angular.

• Languages: JavaScript, TypeScript (strongly preferred).

• Version Control: Git.

📝 Enhancement Note: Proficiency in Figma is almost a standard expectation for modern UX roles. The explicit mention of React and TypeScript indicates a close working relationship with front-end development, making candidates with some front-end understanding highly desirable.

👥 Team Culture & Values

Operations Values:

• Efficiency & Productivity: A core value is driving operational efficiency through well-designed, intuitive internal tools.

• Data-Driven Decision Making: Utilizing data and user feedback to inform design choices and measure impact.

• Autonomy & Ownership: Empowering individuals to take ownership of their work and drive results independently.

• Rapid Iteration & Agility: Embracing a fast-paced environment where quick feedback loops and iterative development are key.

• Collaboration & Teamwork: While autonomous, strong collaboration with engineering partners is essential for success.

Collaboration Style:

• Embedded & Integrated: The designer is embedded within engineering pods, fostering a close, collaborative relationship.

• Lean & Direct: Communication is expected to be direct, concise, and focused on problem-solving with minimal bureaucracy.

• Feedback-Oriented: An environment where rapid feedback exchange is encouraged to accelerate design and development cycles.

• Cross-Functional Alignment: Working closely with engineers to ensure design feasibility and alignment with technical constraints and goals.

📝 Enhancement Note: The culture emphasizes high performance, autonomy, and direct impact, typical of fast-moving tech teams or startups. The designer must be proactive in seeking collaboration and feedback within this lean structure.

⚡ Challenges & Growth Opportunities

Challenges:

• Sole Designer Responsibility: Managing the design needs for multiple product surfaces as the only designer can be demanding, requiring excellent prioritization and time management skills.

• Designing for AI Complexity: Translating abstract AI capabilities into intuitive and trustworthy user experiences presents a novel design challenge.

• Balancing Speed and Quality: Operating at "startup-speed" while ensuring "production-grade" quality and usability requires a disciplined approach.

• User Adoption: Ensuring that complex internal tools are adopted and effectively used by a diverse internal user base.

Learning & Development Opportunities:

• Deep Dive into AI UX: Gain unparalleled experience in a rapidly evolving field of AI-native user interfaces.

• Design System Maturity: Contribute significantly to the foundational development and growth of a design system.

• Cross-Functional Expertise: Develop a deep understanding of engineering processes and AI development through close collaboration.

• High-Impact Project Portfolio: Build a portfolio of work that is highly marketable due to its focus on critical internal tools and AI innovation.

📝 Enhancement Note: The challenges are significant but directly tied to substantial growth opportunities, particularly for designers looking to specialize in enterprise AI UX and design system development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to simplify a highly complex, data-intensive workflow for end-users. What was your process, and what was the outcome?" (Focus on your problem-solving, research, and impact).

• "How would you approach designing an interface for an AI agent that assists users with task triage and prioritization? What are the key UX considerations?" (Demonstrate understanding of AI UX principles and user trust).

Company & Culture Questions:

• "What attracts you to designing internal tools versus consumer-facing products?" (Highlight your interest in operational efficiency and impact).

• "How do you prefer to collaborate with engineers, especially when you are the sole designer on a team?" (Emphasize your proactive, communicative, and iterative approach).

Portfolio Presentation Strategy:

• Tell a Story: For each case study, frame it as a narrative: the problem, your role and approach, the design process, the challenges, the solution, and the results.

• Quantify Impact: Wherever possible, use data to show the positive impact of your designs (e.g., "reduced data entry time by 20%," "increased tool adoption by 30%").

• Highlight Autonomy: Clearly articulate where you led the design process and made independent decisions.

• Focus on Process: Explain how you arrived at your solutions, not just what the solutions are. Show your research, iterations, and user testing insights.

• Prepare for Technical Discussions: Be ready to discuss the technical feasibility of your designs and how they integrate with engineering workflows.

📝 Enhancement Note: The emphasis is on demonstrating practical experience in complex enterprise environments, your ability to work autonomously, and your understanding of AI UX. Being able to articulate your process and quantifiable impact will be key.

📌 Application Steps

To apply for this operations-adjacent design position:

• Submit your application through the provided link on Greenhouse.

• Customize Your Resume: Tailor your resume to highlight experience with complex internal tools, enterprise SaaS, data-dense interfaces, AI/ML UX, and design system development. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest, most relevant projects that showcase end-to-end design ownership, workflow simplification, and autonomous work. Ensure clear case studies detailing your process and impact.

• Prepare Your Design Challenge Approach: Think through how you would tackle a design problem related to internal workflow optimization or AI-driven interfaces.

• Research Linda Werner & Associates: Understand the company's focus on AI and internal tools to tailor your responses and demonstrate genuine interest.

⚠️ 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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