π Job Overview
Job Title: Senior UX/UI Designer
Company: Savas Labs
Location: Los Angeles, CA; Chicago, IL; Philadelphia, PA; Atlanta, GA
Job Type: Full-Time
Category: UX/UI Design & Strategy (AI-Augmented)
Date Posted: 2026-09-29
Experience Level: Senior (6-10+ years)
Remote Status: Fully Remote
π Role Summary
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Lead the end-to-end design lifecycle for client digital products and websites, integrating AI as a core component of strategy, ideation, and execution.
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Drive human-centered design principles while leveraging AI-augmented tools to enhance efficiency, explore creative possibilities, and accelerate prototyping.
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Independently manage client relationships, facilitate stakeholder workshops, and champion innovative design solutions that blend human craft with AI capabilities.
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Develop and maintain high-fidelity visual designs, UI systems, and production-ready prototypes, ensuring adherence to accessibility standards and development constraints.
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Contribute to the strategic integration of AI within the design team's processes and workflows, establishing best practices for AI-assisted design.
π Enhancement Note: This role is specifically designed for a seasoned UX/UI professional who not only possesses traditional design expertise but also has a deep, practical understanding and hands-on application of AI in their design workflow. The emphasis on AI is not just experimental but integral to the core responsibilities, differentiating it from standard UX/UI roles. The "Senior" title, combined with the expectation of independent client leadership and AI fluency, suggests a high level of autonomy and strategic contribution.
π Primary Responsibilities
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Spearhead the complete design journey for client projects, encompassing strategy, discovery, user experience (UX) architecture, visual design, and advanced prototyping.
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Independently plan and facilitate critical stakeholder workshops, including user journey mapping, goal definition, project requirement elicitation, and prioritization sessions.
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Execute comprehensive user research initiatives, define robust information architecture, map intricate user flows, and develop clear sitemaps.
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Conduct thorough usability and accessibility audits, ensuring designs comply with WCAG 2.2+ guidelines and promote inclusive user experiences.
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Produce detailed wireframes, high-fidelity visual designs, comprehensive UI systems, and production-ready prototypes that effectively communicate design intent.
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Proactively integrate AI as a collaborative partner throughout the design process, developing repeatable AI-driven workflows and critically evaluating AI outputs to uphold exceptional quality standards.
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Serve as the primary design authority in client interactions, confidently presenting and articulating design rationale, decisions, and strategic recommendations.
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Actively support business development efforts by crafting compelling design approaches, providing accurate time and effort estimates, developing persuasive proposals, and creating rapid prototypes to secure new client engagements.
π Enhancement Note: The responsibilities highlight a blend of strategic leadership, deep design execution, and a novel integration of AI. The expectation of independent client management and workshop facilitation at this senior level is significant. The emphasis on "AI as a collaborator" and "repeatable workflows" suggests a need for not just using AI tools, but understanding how to operationalize them within a design practice for consistent, high-quality output.
π Skills & Qualifications
Education: While specific degree requirements are not listed, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred for senior roles in this domain. Equivalent practical experience will also be strongly considered.
Experience: A minimum of 6β10+ years of progressive design experience is required, with a significant portion of this time spent within an agency or consultancy environment. This background is crucial for understanding client-facing dynamics, project management, and diverse project types.
Required Skills:
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End-to-End Design Leadership: Proven ability to manage and execute projects across the entire design lifecycle, from initial strategy and discovery to final visual design and prototyping.
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AI Design Tool Fluency: Hands-on, practical experience utilizing AI-powered design, prototyping, and generative tools in real client or production work. Must be able to articulate how AI has tangibly improved their design process.
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Client Workshop Facilitation: Demonstrated success in independently leading client workshops, discovery sessions, and stakeholder alignment meetings.
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User Research & Audits: Expertise in conducting user research, defining information architecture, mapping user flows, and performing comprehensive usability and accessibility audits.
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Visual Design & UI Systems: Strong capability in producing high-quality visual designs, comprehensive UI systems, and design pattern libraries.
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Prototyping: Proficiency in creating interactive prototypes for user testing and stakeholder presentations, with an emphasis on speed and fidelity enhanced by AI.
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Developer Collaboration: Experience working closely with developers, providing clear specifications, documentation, and code-adjacent prototypes.
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Communication & Presentation: Exceptional verbal and written communication skills, with the ability to clearly and confidently present design decisions and defend them with data and rationale.
Preferred Skills:
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Experience with Content Management Systems (CMS) and an understanding of website development constraints.
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Familiarity with generative AI tools beyond core design applications, such as text-to-image or AI content generation platforms.
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Experience in business development support, including proposal writing and design estimation.
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A strong understanding of how AI can be integrated into broader design team workflows and processes.
π Enhancement Note: The requirement for "meaningful time in an agency or consultancy environment" is a key differentiator, indicating a need for adaptability, client-handling skills, and experience with diverse project scopes. The emphasis on "AI fluency with judgment" and "Designs for scale" points towards a candidate who can not only use AI but strategically apply it for efficiency and consistency across multiple, potentially concurrent, projects. The specific mention of WCAG 2.2+ guidelines highlights a commitment to inclusive design practices.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A comprehensive portfolio showcasing end-to-end design work on multiple project types, demonstrating a clear progression from strategy and discovery through UX, visual design, and prototyping.
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Specific case studies that highlight how AI tools were integrated into the design process to achieve tangible improvements in speed, ideation, fidelity, or user experience.
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Examples of independently led client workshops, stakeholder alignment sessions, and presentations, with clear articulation of the outcomes and your role.
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Demonstrations of high-quality visual design, including UI systems, design patterns, and style guides, that are scalable and maintainable.
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Evidence of user research methodologies, information architecture, user flows, and accessibility considerations within your presented projects. Process Documentation:
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Case studies should clearly outline the design process followed, emphasizing the discovery and strategy phases, user research methods, and iterative design and testing cycles.
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Detail how AI was incorporated at various stagesβe.g., for ideation, generating initial concepts, refining wireframes, creating design variations, or developing prototypesβand the specific tools used.
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Showcase the outputs of your design process, such as wireframes, sitemaps, user flows, high-fidelity mockups, interactive prototypes, and UI system documentation.
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Include documentation of your collaboration with development teams, such as design specifications, redlines, and asset handoff procedures, noting any AI-assisted elements in this process.
π Enhancement Note: The portfolio is critical for this role, with a strong emphasis on demonstrating not just design skills but a strategic, hands-on application of AI in real-world projects. Candidates must be prepared to articulate the ROI and efficiency gains derived from their use of AI tools, moving beyond simple experimentation to proven integration.
π΅ Compensation & Benefits
Salary Range: $90,000 - $110,000 USD per year. This range is competitive for a Senior UX/UI Designer role in major US metropolitan areas, especially for a fully remote position with a focus on specialized AI skills and agency experience.
Benefits:
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Full-time employment benefits typically include health, dental, and vision insurance.
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Paid time off (PTO), including vacation, sick leave, and holidays.
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Opportunities for professional development, including training in AI design tools and methodologies.
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Potential for 401(k) retirement savings plan with company match.
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Support for home office setup and remote work infrastructure.
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Collaborative and innovative work environment focused on cutting-edge design practices.
Working Hours: Standard full-time working hours are expected, likely around 40 hours per week. Given the remote nature and client-facing responsibilities, flexibility may be required to accommodate different time zones and client meeting schedules.
π Enhancement Note: The salary range provided is consistent with industry benchmarks for senior-level UX/UI designers in the US, particularly those with specialized skills like AI integration and agency experience. The "TELECOMMUTE" and "remote_derived": true flags confirm the fully remote nature of the position, which often comes with competitive compensation to attract talent across a wider geographic area.
π― Team & Company Context
π’ Company Culture
Industry: Technology, Design Consultancy, Digital Product Development. Savas Labs operates within a dynamic sector that bridges creative design with technological innovation, particularly focusing on how AI can transform product development and user experiences.
Company Size: Savas Labs is a medium-sized company, likely employing between 50-200 individuals based on typical agency structures. This size often allows for a close-knit team environment, direct access to leadership, and significant individual impact on projects and company direction.
Founded: While the founding date isn't specified, the company's focus on modern design practices and AI integration suggests a relatively established but forward-thinking organization. This implies a culture that values innovation, continuous learning, and adapting to emerging technologies.
Team Structure:
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The design team is likely structured with a Director of Design overseeing various design disciplines.
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Senior designers, like the one being hired, are expected to operate with a high degree of autonomy, potentially leading smaller project teams or individual client engagements.
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Collaboration is expected across design disciplines (UX, UI, visual), with developers, project managers, and client stakeholders.
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The integration of AI suggests a team that is eager to experiment and formalize new, efficient workflows. Methodology:
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AI-Augmented Design: A core methodology involves leveraging AI tools across the design lifecycle for ideation, rapid prototyping, and enhancing design quality and speed.
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Human-Centered Design: Despite AI integration, the foundational approach remains centered on understanding and solving user needs through empathetic design practices.
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Agile/Iterative Processes: Projects likely follow agile or iterative methodologies, allowing for flexibility, continuous feedback, and rapid adaptation to client needs and design discoveries.
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Data-Driven Decision Making: Insights from user research, analytics, and AI-generated data are used to inform design decisions and strategy.
Company Website: https://savas-labs.breezy.hr (Note: This appears to be a hiring platform URL. The actual company website for Savas Labs would typically be something like savaslabs.com).
π Enhancement Note: The company's emphasis on "AI-augmented work" and "human-centered design" points to a culture that values both cutting-edge technology and fundamental design principles. The expectation for a Senior UX/UI Designer to "lead client relationships on your own" and "contribute to how AI will be integrated" suggests a culture that empowers senior talent and encourages strategic input.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a Senior UX/UI Designer, indicating a mid-to-late career stage. It requires a substantial depth of experience (6-10+ years) and the ability to operate independently, lead client engagements, and influence design strategy. It's a role that moves beyond execution to strategic contribution and mentorship.
Reporting Structure: The Senior UX/UI Designer will report directly to the Director of Design. This provides a clear reporting line for mentorship, performance reviews, and strategic alignment, while still allowing for significant autonomy in day-to-day project work and client interactions.
Operations Impact: The impact of this role is significant, directly influencing the success of client digital products and websites. By leading the full design lifecycle and integrating AI, the designer will drive improvements in user experience, product usability, client satisfaction, and potentially revenue for clients through more effective digital solutions. The role also contributes to the company's competitive edge by pioneering AI-augmented design practices.
Growth Opportunities:
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Design Leadership: Potential to grow into Lead Designer or Design Manager roles, overseeing larger teams or multiple client projects.
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AI Specialization: Deepen expertise in AI for design, becoming a subject matter expert and potentially developing new AI-driven design services for the company.
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Strategic Consulting: Evolve into a more strategic consulting role, focusing on high-level design strategy and digital transformation for clients.
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Mentorship: Opportunity to mentor junior designers, sharing expertise in UX/UI, AI integration, and client management.
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Process Innovation: Play a key role in defining and refining the company's AI-augmented design processes and best practices.
π Enhancement Note: The growth trajectory for this role is clearly defined, moving from senior execution to strategic leadership and specialization. The unique integration of AI offers a distinct path for career advancement and skill development that is highly relevant in the current tech landscape.
π Work Environment
Office Type: The role is designated as "TELECOMMUTE," indicating it is fully remote. This means there is no requirement to work from a physical office, offering maximum flexibility in terms of location within the specified regions.
Office Location(s): While the role is remote, it is specified that candidates must be located in or willing to relocate to one of the following areas: Los Angeles, CA; Chicago, IL; Philadelphia, PA; or Atlanta, GA. This likely relates to potential future needs for in-person client meetings or team gatherings, or simply to align with specific US-based talent pools.
Workspace Context:
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Remote Autonomy: Designers will manage their own workspace and daily schedule, requiring strong self-discipline and time management skills.
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Digital Collaboration Tools: The work environment will rely heavily on digital collaboration platforms (e.g., Slack, Zoom, Miro, Figma) for communication, ideation, and design reviews.
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AI Tool Integration: Access to and proficiency with a suite of AI design and prototyping tools will be integral to the daily workflow.
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Cross-Functional Interaction: Frequent interaction with design peers, project managers, developers, and clients via virtual channels.
Work Schedule: The standard work schedule is full-time (approximately 40 hours per week). While remote, the need to collaborate with clients and team members across different time zones may necessitate some flexibility in working hours. The emphasis on rapid prototyping and client delivery suggests a dynamic and potentially fast-paced work environment.
π Enhancement Note: The remote work aspect is a significant draw, offering flexibility. However, the specified geographic locations for remote work suggest potential requirements for occasional in-person client engagement or team meetups within those regions. The reliance on digital tools and AI will shape the day-to-day work experience.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: Review of application, resume, and portfolio to assess alignment with experience requirements, particularly AI fluency and agency background.
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Portfolio Presentation & Discussion: A dedicated session where the candidate presents their portfolio, focusing on end-to-end projects and specifically detailing their use of AI in the design process. Expect in-depth questions about strategic decisions, AI integration, and client management.
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Skills-Based Interview/Workshop: May involve a practical design challenge or a deep dive into specific competencies like usability, accessibility, AI workflow design, or stakeholder facilitation. This could include a simulated client workshop or a critique of a design problem.
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Team & Culture Fit Interview: Conversations with the Director of Design and potentially other team members to assess cultural alignment, collaboration style, and ownership of outcomes.
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Final Interview: Potentially with a company leader to discuss overall fit, strategic vision, and long-term contributions.
Portfolio Review Tips:
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AI Integration is Key: Clearly articulate how and why you used specific AI tools at different stages of your projects. Quantify the impact where possible (e.g., "reduced ideation time by X%", "increased prototype fidelity for faster feedback").
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Showcase End-to-End Ownership: Highlight projects where you managed the entire design lifecycle, from strategy and discovery to final deliverables. Emphasize your independent client management and workshop facilitation skills.
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Demonstrate Production Craft: Present polished, build-ready designs. Show attention to detail, edge cases, broken states, and accessibility as integral parts of your work, not afterthoughts.
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Tell a Story: Structure your case studies with a clear narrative: the problem, your approach (including AI integration), your process, the solution, and the outcomes/impact.
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Be Ready for Critical Evaluation: Show judgment. Explain why you chose certain AI tools, when you decided human craft was superior, and how you critically assessed AI outputs.
Challenge Preparation:
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AI Workflow Design: Be prepared to discuss or demonstrate how you would design a new AI-augmented workflow for a specific design task (e.g., competitive analysis, user persona generation, rapid wireframing).
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Client Scenario Simulation: Practice how you would handle challenging client questions, defend design decisions, or facilitate a discovery session focused on integrating AI into their product strategy.
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Problem-Solving: Anticipate design problems related to AI implementation (e.g., bias in AI outputs, managing AI-generated inconsistencies) and how you would address them.
π Enhancement Note: The interview process will heavily scrutinize the candidate's practical, hands-on experience with AI in design. Simply stating familiarity is insufficient; candidates must provide concrete examples and demonstrate strategic thinking about AI's role in the design process and business outcomes. The portfolio is the primary vehicle for this demonstration.
π Tools & Technology Stack
Primary Tools:
- Design & Prototyping: Figma (highly likely, standard in industry), Sketch, Adobe Creative Suite (Photoshop,
Illustrator, XD).
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AI Design & Prototyping Tools: Candidates are expected to have hands-on experience with various AI tools. This could include:
- Generative AI for Assets: Midjourney, DALL-E, Stable Diffusion for image creation.
- AI-Assisted Design Platforms: Tools that integrate AI for tasks like layout generation, component suggestions, or style application. (Specific tools may vary, but the concept of using them is key).
- AI for Research & Ideation: Tools that can summarize research findings, generate user personas, or brainstorm ideas.
- AI-Powered Prototyping Tools: Tools that accelerate prototype creation or add interactive elements using AI.
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Collaboration & Workflow: Miro, Mural (for whiteboarding and workshops), Slack (communication), Jira, Asana (project management).
Analytics & Reporting:
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Google Analytics, Mixpanel, Amplitude (for understanding user behavior post-launch).
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Tools for usability testing and feedback collection (e.g., UserTesting.com, Hotjar). CRM & Automation:
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While not a direct CRM role, understanding CRM principles and how design impacts user journeys within a CRM context is beneficial.
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Familiarity with marketing automation platforms and their user-facing components can be a plus.
π Enhancement Note: The specific AI tools are not listed, which is typical as the landscape evolves rapidly. The emphasis is on the capability and experience of using AI to augment the design process. Candidates should be prepared to discuss the AI tools they are most proficient with and how they leverage them. Figma is almost certainly a core tool.
π₯ Team Culture & Values
Operations Values:
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AI Fluency with Judgment: Actively exploring and integrating AI while maintaining a critical perspective, ensuring human craft and taste lead when necessary. This balances innovation with quality.
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Production Craft: A commitment to delivering high-volume, polished, and build-ready design work efficiently without compromising quality. This emphasizes practical, professional output.
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Designs for Scale: Thinking holistically about user needs, business goals, and system consistency, building reusable components and workflows that maintain integrity across multiple projects and contexts.
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Ownership of Outcomes: Taking personal responsibility for the success of shipped products, proactively identifying and addressing risks, and advocating for the best solutions even under pressure. This fosters accountability and proactive problem-solving.
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Human-Centered Design: A foundational value that prioritizes understanding and meeting user needs through empathetic design, even when leveraging advanced technologies like AI.
Collaboration Style:
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Cross-Functional Integration: Seamless collaboration with developers, project managers, and client stakeholders, ensuring clear communication and shared understanding of design goals and technical constraints.
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Proactive Communication: Open and transparent communication, raising risks early, and actively seeking feedback to drive projects forward efficiently.
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Mentorship and Knowledge Sharing: A culture where senior members like the new hire are expected to share their expertise, particularly in AI integration and design best practices, helping to elevate the entire team.
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Iterative and Experimental: An environment that encourages experimentation with new tools and methodologies, particularly AI, and embraces iterative refinement based on feedback and data.
π Enhancement Note: The company's stated values are directly tied to the key competencies of the role. The emphasis on "AI fluency with judgment" and "ownership of outcomes" suggests a culture that trusts its senior employees to innovate responsibly and deliver results.
β‘ Challenges & Growth Opportunities
Challenges:
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Rapidly Evolving AI Landscape: Keeping pace with the continuous advancements and new tools in AI design technology requires ongoing learning and adaptation.
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Balancing AI Efficiency with Human Craft: Effectively integrating AI without sacrificing the nuanced judgment, creativity, and emotional intelligence that human designers bring.
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Client Education on AI: Guiding clients on the benefits and practical applications of AI in design, managing expectations, and building trust in AI-augmented solutions.
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Maintaining Design Consistency: Ensuring that AI-generated elements and workflows integrate seamlessly with existing design systems and brand guidelines across multiple projects.
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Managing Multiple Projects: The ability to effectively switch between 2-4+ projects weekly, each with potentially different AI applications and client needs, demands exceptional organizational and prioritization skills.
Learning & Development Opportunities:
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AI Tool Specialization: Deep dive into advanced features and emerging AI design tools, potentially becoming a go-to expert within the company.
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Strategic Design Consulting: Develop skills in high-level design strategy, digital transformation, and advising clients on technology adoption.
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Leadership Development: Opportunities to mentor junior designers, lead design initiatives, and potentially move into management roles.
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Industry Conferences & Certifications: Access to attend relevant design and AI conferences, and pursue certifications that enhance expertise.
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Process Innovation Contribution: Actively contribute to shaping Savas Labs' proprietary AI-augmented design methodologies and best practices.
π Enhancement Note: The challenges presented are directly related to the cutting-edge nature of the role, particularly the AI integration. The growth opportunities are substantial, offering paths for both technical specialization and leadership within a forward-thinking agency.
π‘ Interview Preparation
Strategy Questions:
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"Describe a project where you used AI to significantly improve the design process or outcome. What tools did you use, and what was the tangible impact?" (Be prepared with specific metrics and process details.)
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"How do you balance AI-generated design outputs with your own creative judgment and the need for human craft? Provide an example." (Focus on your critical evaluation process.)
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"Imagine you need to onboard a new designer onto our AI-augmented workflow. How would you explain our process and the role of AI?" (Demonstrate your ability to teach and standardize.)
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"Walk us through how you would lead a discovery workshop for a client looking to leverage AI in their product. What key questions would you ask?" (Showcase your client facilitation and strategic thinking.) Company & Culture Questions:
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"What excites you most about Savas Labs' approach to AI in design?" (Research the company's stated values and recent work.)
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"How do you stay current with the rapidly evolving AI and design technology landscape?" (Highlight your continuous learning habits.)
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"Describe a time you had to advocate for a design solution that was technically challenging or required pushing back on a client's initial idea. How did you handle it?" (Demonstrate ownership and advocacy.)
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"How do you see AI impacting the future of UX/UI design in the next 3-5 years, and how does that influence your own work?" (Showcase your forward-thinking perspective.) Portfolio Presentation Strategy:
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Structure for Impact: Begin with a high-level overview of your career and key strengths, then dive into 2-3 comprehensive case studies. For each case study, clearly define the problem, your strategic approach (emphasizing AI integration), your process, the solution, and measurable outcomes.
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AI Integration Storytelling: For each project, dedicate a section to explaining your AI toolkit, why you chose specific tools, how they were integrated into your workflow, and the specific benefits realized (e.g., speed, ideation breadth, fidelity).
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Showcase Ownership & Judgment: Highlight instances where you independently led client interactions, facilitated workshops, and made critical design decisions, including when and why you chose to deviate from or critically assess AI suggestions.
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Visual Clarity & Professionalism: Ensure your presentation is visually polished, easy to follow, and reflects the high standards of "production craft" you aim for. Use clear visuals, concise text, and well-articulated explanations.
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Interactive Elements: If possible, include live demos of prototypes or interactive elements to showcase your skills dynamically.
π Enhancement Note: Candidates should prepare to speak extensively about their practical application of AI tools, not just theoretical knowledge. The interview will likely test their ability to translate AI capabilities into tangible business value for clients and contribute to the company's evolving methodologies.
π Application Steps
To apply for this Senior UX/UI Designer position:
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Submit your application through the provided Breezy HR link.
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Portfolio Customization: Ensure your portfolio prominently features end-to-end design projects that showcase your AI integration, strategic thinking, and client leadership capabilities. Tailor your case study selection to highlight these specific requirements.
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Resume Optimization: Update your resume to clearly articulate your 6-10+ years of agency/consultancy experience and any specific AI design tools you are proficient with. Quantify achievements whenever possible, especially those related to efficiency gains or improved user outcomes.
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Prepare for AI Discussion: Be ready to articulate your hands-on experience with AI design tools, your process for integrating AI, and your opinions on its role in the future of design. Practice explaining your AI workflows and the judgment you apply.
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Research Savas Labs: Understand their company values, their focus on AI-augmented design, and their client work. Prepare thoughtful questions that demonstrate your engagement and interest in their specific approach.
β οΈ 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.
Application Requirements
Requires 6-10+ years of design experience in an agency or consultancy environment with a strong portfolio of end-to-end work. Must demonstrate hands-on expertise in AI design tools and the ability to lead client relationships independently.