Senior UX Designer
π Job Overview
Job Title: Senior UX Designer
Company: Amperity
Location: Seattle, WA
Job Type: Full-Time
Category: Product Design / User Experience
Date Posted: 2026-01-24
Experience Level: 8+ Years
Remote Status: Hybrid
π Role Summary
- Drive product design strategy for key platform pillars, aligning long-term vision with tactical execution in the Customer Data Platform (CDP) space.
- Elevate the craft of design through leadership in evolving the design system, ensuring scalability and integrating AI-driven rapid prototyping.
- Champion the user by developing deep empathy for technical (data analysts, data engineers) and marketing (marketing ops) users, translating complex data workflows into intuitive experiences.
- Mentor and coach other designers, raising the quality and consistency bar for a small, impactful design team.
- Directly influence UI implementation by contributing to the front-end component library (HTML/CSS), ensuring design fidelity.
- Facilitate collaborative design sprints, workshops, and critique sessions to align cross-functional stakeholders around user-centric solutions.
π Enhancement Note: This role is positioned as a Senior UX Designer with significant influence, acting as a "force multiplier" for the design team. The emphasis on AI, complex web applications, enterprise-level design, and contributing to front-end code suggests a hybrid Product Designer/UX Engineer profile, particularly within the SaaS and Customer Data Platform (CDP) industry. The role requires not only strong design skills but also strategic thinking, leadership, and technical literacy.
π Primary Responsibilities
- Lead design strategy for major product pillars, partnering with Product Management and Engineering leadership to define and execute the platform's strategic direction.
- Take a leadership role in evolving Amperity's design system, including standards, patterns, and UI components, ensuring scalability and advocating for AI integration in the design process.
- Develop and socialize a deep understanding of technical users (data analysts, data engineers) and marketing users (marketing operations), translating their complex data workflows into elegant and intuitive customer experiences.
- Actively coach and provide high-level design feedback to other designers, fostering a culture of quality, consistency, and continuous improvement within the design team.
- Contribute to the front-end component library (HTML/CSS) to directly influence UI implementation and ensure the "as-built" product aligns with the "as-designed" vision.
- Design and facilitate design sprints, workshops, and critique sessions to foster alignment and drive user-centric solutions among cross-functional teams.
- Conduct user research, synthesize findings, and translate insights into actionable design recommendations that inform the product roadmap and business goals.
- Partner closely with Product Managers and Engineers to ensure the seamless execution of designs from concept through to launch.
- Advocate for the user experience by presenting design rationale and user insights to executive stakeholders, engineering leads, and customers.
π Enhancement Note: The responsibilities highlight a blend of strategic leadership, hands-on design execution, and team mentorship. The emphasis on "driving design strategy," "elevating the craft," and "bridging the gap" indicates a senior individual contributor role with significant impact on product direction and design quality. The direct involvement in HTML/CSS suggests an expectation for designers to have a strong understanding of implementation details and potentially contribute code.
π Skills & Qualifications
Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically preferred for senior-level roles in this domain. A strong portfolio demonstrating equivalent practical experience will also be considered.
Experience: 8+ years of experience designing complex, enterprise-level, web-based applications from concept to launch.
Required Skills:
- Enterprise Mastery: Proven experience in navigating the complexities of enterprise-level product design, including data-heavy workflows and multi-persona ecosystems.
- AI Native Design: Experience developing AI and AI-native applications, with a demonstrated ability for rapid prototyping and iterative customer feedback loops.
- Strategic Empathy: Ability to use data and research to advocate for users and influence product roadmaps and business goals.
- Communication Excellence: Expert ability to articulate design rationale and user insights to executive stakeholders, engineering leads, and customers.
- Ambiguity Ownership: Thrives in the early, undefined stages of projects, creating clarity and defining the path forward.
- Technical Literacy: Strong proficiency in Figma for design and prototyping. Working knowledge of HTML/CSS and/or component libraries is essential, with an understanding of code as an integral part of the design process.
- SaaS Product Design: Background in designing and producing SaaS products, with a specific emphasis on data-visualization tools or web-based marketing tools.
- User Research & Synthesis: Ability to conduct user interviews, usability testing, and synthesize research findings into actionable design improvements.
- Design System Contribution: Experience in contributing to or evolving design systems, ensuring scalability and consistency across a platform.
- Cross-functional Collaboration: Proven ability to lead design sprints, workshops, and critique sessions effectively.
Preferred Skills:
- Experience with Customer Data Platforms (CDPs) or related MarTech/Data infrastructure.
- Familiarity with data analysis and data engineering concepts.
- Experience mentoring junior designers.
- Understanding of AI/ML principles and their application in user interfaces.
- Contributions to open-source design or front-end projects.
π Enhancement Note: The "8+ years" requirement, coupled with "Enterprise Mastery" and "AI Native" experience, points towards a senior individual contributor role that requires a deep understanding of complex B2B SaaS products. The explicit mention of HTML/CSS proficiency and viewing code "as part of the design process" is a significant indicator that candidates with some front-end development understanding or experience will be highly favored, potentially bridging the gap between design and engineering.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
- Case Studies: Showcase 3-5 comprehensive case studies detailing the design process for complex web applications. Each case study should clearly articulate the problem, your role, the design process, challenges faced, key decisions, and measurable outcomes.
- Enterprise & Data Focus: Highlight projects involving complex data workflows, enterprise-level applications, or data visualization tools. Demonstrate your ability to simplify intricate data interactions for both technical and non-technical users.
- AI Integration: Include examples of projects that involved AI-native features or applications, showcasing your approach to designing for AI-driven experiences, including rapid prototyping and iterative feedback.
- Design System Contribution: Present examples of your involvement in design systems, whether it's contributing to existing systems, defining new patterns, or advocating for their adoption and scalability.
- Technical Acumen: Demonstrate understanding of implementation constraints by showing how your designs consider HTML/CSS or component library integration, or by including examples where you collaborated closely with front-end developers.
Process Documentation:
- Problem Definition: Clearly outline the user problem or business challenge you addressed, supported by user research, data, or stakeholder input.
- Design Methodology: Detail the design process used, including user research, ideation, wireframing, prototyping, usability testing, and iteration, with specific examples of tools and techniques employed (e.g., Figma, AI-assisted prototyping).
- Collaboration & Influence: Explain how you collaborated with Product Management, Engineering, and other stakeholders, and how you influenced product decisions through design.
- Outcome & Impact: Quantify the impact of your design solutions using relevant metrics (e.g., user adoption, task completion rates, efficiency gains, stakeholder satisfaction). For this role, demonstrate how your designs contributed to platform scalability, user loyalty, or business growth.
π Enhancement Note: For a Senior UX Designer role with a focus on enterprise SaaS and AI, the portfolio should emphasize strategic impact and technical literacy. Candidates should be prepared to discuss not just the visual design but the entire product development lifecycle, including how their designs contribute to business objectives and integrate with front-end development. Demonstrating experience with complex data interactions and AI-driven features is paramount.
π΅ Compensation & Benefits
Salary Range: $150,000 - $200,000 Base Salary per year.
This range is based on the provided information and industry benchmarks for Senior UX Designers in Seattle, WA, considering the company's industry (AI-first CDP) and the role's seniority and technical requirements.
Benefits:
- 100% Employee Healthcare Coverage: Comprehensive medical, dental, and vision insurance with premiums fully covered for employees.
- Stock Options: New-hire equity grant provided to all employees, commensurate with position scope, offering ownership and potential for long-term financial growth.
- Cash Incentives: Availability of cash incentives, suggesting performance-based bonuses or other variable compensation opportunities.
- Transportation Subsidies: Financial assistance for commuting to the office.
- Self-Managed PTO: Flexible paid time off policy, allowing employees to manage their vacation and personal time needs.
- Comfortable Work Environment: Office amenities include ample snacks and a conducive workspace.
- Employee Experience Perks: Regular events and activities, both in-person and remote, to foster engagement and community.
- Professional Development: An inclusive environment focused on challenging employees to unlock their full potential, surrounded by world-class talent.
Working Hours: 40 hours per week, full-time. The hybrid model allows for flexibility, with 3 days in the office.
π Enhancement Note: The salary range provided is explicitly stated. The benefits package is comprehensive, with a strong emphasis on healthcare, equity, and work-life balance. The "Self-Managed PTO" and hybrid model suggest a culture that values employee autonomy and flexibility. The "AI-first" nature of Amperity and the focus on data implies that professionals who can leverage technology for efficiency and effectiveness will thrive.
π― Team & Company Context
π’ Company Culture
Industry: Technology - Artificial Intelligence, Customer Data Platforms (CDP), SaaS. Amperity operates at the intersection of AI, data, and customer experience, a rapidly evolving and high-impact sector. Their AI-first approach is central to their product and operational philosophy. Company Size: Likely mid-to-large size, indicated by offices in multiple global locations (Seattle, NYC, London, Melbourne) and a growing team. The "small but mighty" design team suggests a lean, high-impact structure within a larger organization. Founded: Amperity was founded to address the need for brands to leverage customer data effectively, particularly through AI. This focus on data unification and personalization is key to their mission.
Team Structure:
- The design team is described as "small but mighty," implying a focused group of highly skilled individuals.
- The Senior UX Designer reports to the Senior Director - Product, indicating a clear reporting line within the product organization.
- Cross-functional collaboration is a core tenet, with designers working closely with Product Management and Engineering leadership.
Methodology:
- AI-First Approach: AI is integral to Amperity's platform, workflows, and decision-making, influencing product development and internal operations.
- User-Centric Design: A strong emphasis on understanding and advocating for both technical and marketing users to create intuitive customer experiences.
- Data-Driven Insights: Decisions are informed by data, research, and user feedback to influence product roadmaps and business goals.
- Agile & Iterative: The mention of "rapid prototyping" and "iterative customer feedback" suggests an agile development environment.
- Design System Driven: Emphasis on establishing and evolving a scalable design system for consistency and efficiency.
Company Website: https://amperity.com/careers/7562090?gh_jid=7562090&gh_src=053ff1fc1us&gh_jid=7562090
π Enhancement Note: Amperity's AI-first ethos is a critical differentiator. Candidates should understand how AI impacts product design and user experience. The company's focus on enterprise-level SaaS for customer data management places it in a competitive and data-intensive market, requiring designers who can handle complexity and translate it into user-friendly interfaces. The "small but mighty" design team implies a high degree of autonomy and responsibility for its members.
π Career & Growth Analysis
Operations Career Level: This is a Senior Individual Contributor role (Senior UX Designer). It signifies a high level of expertise, autonomy, and responsibility, with expectations to lead design initiatives, mentor junior team members, and significantly influence product strategy. The role is positioned to shape the standard for UX in the CDP category. Reporting Structure: Reports directly to the Senior Director - Product. This indicates a close working relationship with product leadership and a direct line of influence on product strategy and roadmap. Operations Impact: The Senior UX Designer is expected to have a substantial impact on the company's success by:
- Defining and elevating the user experience of Amperity's AI-powered Customer Data Cloud, directly affecting customer adoption, satisfaction, and retention.
- Driving design strategy for major product pillars, aligning user needs with business objectives and contributing to competitive differentiation.
- Mentoring and developing other designers, enhancing the overall capability and output of the design team.
- Influencing the implementation of UI through front-end contribution, ensuring design integrity and a high-quality end product.
- Transforming complex data workflows into intuitive and elegant user experiences, crucial for users in data analytics and marketing operations.
Growth Opportunities:
- Leadership Development: Opportunity to grow into a Design Lead or Manager role, potentially overseeing a larger design team or specific product areas.
- Strategic Influence: Deepen involvement in product strategy and roadmap planning, becoming a key voice in product vision.
- Specialization: Further develop expertise in AI-native application design, data visualization, or enterprise SaaS UX.
- Mentorship & Coaching: Hone leadership and communication skills through active coaching and feedback to junior designers.
- Technical Skill Expansion: Continue to refine front-end understanding or explore adjacent technical areas.
- Industry Impact: Contribute to defining UX standards within the rapidly growing Customer Data Platform and AI markets.
π Enhancement Note: The "Senior" title and reporting structure to a Director suggest a clear path for career progression, either into formal leadership or deeper strategic individual contributor roles. The emphasis on "mentoring" and "driving design strategy" points towards developing leadership competencies. The company's focus on AI and CDP means significant opportunities to become an expert in a cutting-edge field.
π Work Environment
Office Type: Amperity operates a hybrid work model, requiring 3 days in the office per week. This suggests a collaborative office environment designed to facilitate in-person teamwork, brainstorming, and connection, balanced with remote flexibility. Office Location(s): Seattle, WA. This location likely offers a vibrant tech ecosystem, access to talent, and a collaborative office space conducive to innovation. Workspace Context:
- Collaborative Environment: The hybrid model emphasizes in-person collaboration, likely supported by meeting rooms, shared workspaces, and informal interaction areas designed to foster teamwork.
- Technology & Tools: Expect access to industry-standard design and collaboration tools, including Figma, and potentially internal tools for AI-assisted design, prototyping, and communication.
- Team Interaction: Opportunities for regular interaction with design, product, and engineering teams through planned sessions (sprints, workshops) and informal exchanges.
- Focus on Innovation: As an AI-first company, the environment likely encourages experimentation, continuous learning, and pushing the boundaries of technology.
Work Schedule: Standard full-time hours (approximately 40 hours/week) with a hybrid arrangement. The "self-managed PTO" suggests a culture that trusts employees to manage their time effectively to balance work and personal life.
π Enhancement Note: The hybrid model is a key aspect of the work environment, balancing in-office collaboration with remote flexibility. Candidates should be comfortable with this structure and understand its implications for team dynamics and workflow. The Seattle location places the role within a major tech hub.
π Application & Portfolio Review Process
Interview Process:
- Initial Screening: A recruiter or hiring manager will review your application and portfolio to assess basic qualifications and fit.
- Portfolio Review & Design Challenge: A dedicated session to present your portfolio, discuss your process, and potentially tackle a design challenge or case study related to Amperity's product domain. Expect to discuss your approach to complex data workflows, AI integration, and enterprise design.
- Hiring Manager Interview: In-depth discussion with the Senior Director - Product about your experience, strategic thinking, leadership potential, and alignment with Amperity's culture and values.
- Cross-functional Interviews: Meetings with key stakeholders from Product Management and Engineering to assess collaboration skills, technical understanding, and ability to work effectively in a cross-functional team.
- Final Round: Potentially a final interview with senior leadership to confirm fit and discuss overall contributions.
Portfolio Review Tips:
- Prioritize Impact: Select case studies that showcase your ability to solve complex problems for enterprise users, particularly those involving data and AI.
- Showcase Your Process: Clearly articulate your design process, emphasizing user research, strategic decision-making, and iterative development. Use visuals to illustrate your journey.
- Quantify Results: Whenever possible, use data and metrics to demonstrate the impact of your designs on user behavior, business goals, or product performance.
- Highlight Collaboration: Explain how you partnered with Product Management and Engineering, demonstrating your ability to influence and work effectively in cross-functional teams.
- Address Technical Nuances: Be prepared to discuss your understanding of HTML/CSS and component libraries, and how you ensure design fidelity during implementation. For this role, demonstrating AI design experience is crucial.
- Tell a Story: Structure your case studies as compelling narratives that highlight your problem-solving skills and design thinking.
Challenge Preparation:
- Understand the Domain: Research Amperity's Customer Data Cloud, its users (data analysts, data engineers, marketing ops), and the challenges they face.
- Focus on Data & AI: Be prepared for challenges that involve designing for complex data visualization, data management, or AI-driven features.
- Emphasize Strategy: Think about the "why" behind your design decisions, connecting them to user needs and business objectives.
- Demonstrate Empathy: Show your ability to understand and design for diverse user personas with varying technical skills.
- Practice Articulation: Rehearse explaining your design process and rationale clearly and concisely, especially for technical and executive audiences.
π Enhancement Note: The interview process is likely rigorous, focusing on strategic thinking, problem-solving, and technical understanding. The portfolio review will be a critical component, demanding clear demonstration of experience with complex enterprise SaaS, AI, and data-heavy applications. Candidates should be ready to discuss their contributions to front-end implementation and mentor junior designers.
π Tools & Technology Stack
Primary Tools:
- Figma: The primary design and prototyping tool. Proficiency is essential for creating wireframes, high-fidelity mockups, interactive prototypes, and design system components.
- Prototyping Tools: Advanced use of Figma's prototyping capabilities, potentially supplemented by other tools for rapid iteration and user testing, especially for AI-native features.
- Design System Tools: Experience with tools or methodologies for managing and scaling design systems, ensuring consistency across the Amperity platform.
Analytics & Reporting:
- User Analytics Platforms: Familiarity with tools like Google Analytics, Mixpanel, Amplitude, or similar for understanding user behavior and measuring design impact.
- Data Visualization Libraries/Tools: While not directly designing them, an understanding of common data visualization libraries (e.g., D3.js) or tools used in enterprise SaaS is beneficial.
CRM & Automation:
- CRM Systems: While not a direct design tool, understanding how design impacts CRM integration or user workflows within a CRM context can be helpful for enterprise SaaS.
- Project Management Software: Tools like Jira, Asana, or Trello for managing design tasks, collaborating with engineering teams, and tracking progress.
Front-End Technologies:
- HTML/CSS: A working knowledge is required. This implies an ability to understand front-end code, collaborate effectively with developers, and potentially contribute to component libraries.
- Component Libraries: Familiarity with established component library patterns and how they are implemented in web applications.
π Enhancement Note: The explicit mention of Figma and HTML/CSS is crucial. Candidates must be proficient in Figma and possess a foundational understanding of front-end development principles and implementation. This blend of skills suggests Amperity values designers who are technically savvy and can bridge the gap between design and engineering.
π₯ Team Culture & Values
Operations Values:
- Curiosity: A driving force behind exploring new AI capabilities and user needs, fostering innovation in product design.
- Collaboration: Essential for working seamlessly with Product Management and Engineering, ensuring user-centric solutions are effectively implemented.
- Transparency: Encouraged in communication and decision-making, building trust within the team and across departments.
- Excellence: A commitment to high quality in design, product development, and customer impact, pushing the boundaries of what's possible with AI and data.
- User Advocacy: Deeply understanding and championing the needs of technical and marketing users to create impactful and intuitive experiences.
- Data-Driven Approach: Utilizing data and research to inform design decisions and measure the effectiveness of solutions.
Collaboration Style:
- Cross-functional Integration: Designers are expected to be integral members of product teams, working closely with PMs and Engineers from ideation through launch.
- Iterative & Feedback-Oriented: The process likely involves frequent design reviews, critiques, and incorporating feedback from various stakeholders to refine solutions.
- Proactive Communication: Proactive engagement and clear articulation of design rationale are key to aligning diverse teams and stakeholders.
- Mentorship & Knowledge Sharing: A culture where senior designers actively coach and share knowledge to elevate the entire team's capabilities.
π Enhancement Note: Amperity's culture appears to value innovation, collaboration, and a strong user focus, particularly within the context of AI and complex data solutions. The emphasis on transparency and excellence suggests a high-performance environment where individuals are empowered to make significant contributions.
β‘ Challenges & Growth Opportunities
Challenges:
- Designing for Complexity: Translating intricate data workflows and AI capabilities into intuitive and user-friendly interfaces for diverse technical and marketing users.
- Balancing Vision and Execution: Aligning long-term strategic design goals with immediate tactical development needs and timelines.
- Evolving AI Landscape: Keeping pace with rapid advancements in AI and effectively integrating new capabilities into the product design.
- Cross-functional Alignment: Ensuring consistent understanding and buy-in for design decisions across Product, Engineering, and other stakeholders.
- Mentoring & Leading: Effectively coaching and guiding other designers while managing personal design responsibilities.
Learning & Development Opportunities:
- AI & Data UX Expertise: Become a leader in designing user experiences for AI-powered platforms and complex data management systems.
- Product Strategy Influence: Gain deeper experience in shaping product roadmaps and strategic direction.
- Leadership Skills: Develop mentoring, coaching, and team leadership capabilities.
- Technical Acumen: Enhance understanding of front-end development, component libraries, and their impact on design implementation.
- Industry Networking: Engage with peers and thought leaders in the CDP, AI, and MarTech industries.
π Enhancement Note: The challenges are directly linked to the role's core responsibilities and the company's focus on AI and complex data. The growth opportunities are designed to leverage these challenges for professional development, particularly in leadership and specialized UX expertise.
π‘ Interview Preparation
Strategy Questions:
- "Describe a time you led the design strategy for a major product pillar. How did you balance long-term vision with tactical execution?" (Focus on strategic thinking, leadership, and outcome articulation.)
- "How would you approach evolving Amperity's design system, especially with the integration of AI and rapid prototyping?" (Highlight your understanding of design systems, scalability, and forward-thinking design practices.)
- "Walk us through a complex data workflow you designed. What were the key user personas, and how did you ensure an intuitive experience?" (Prepare a detailed case study emphasizing your process for complex data interactions.)
- "How do you use data and research to influence product roadmaps and business goals?" (Provide examples of data-informed decision-making and its impact.)
Company & Culture Questions:
- "What interests you about Amperity's AI-first approach and our role in the Customer Data Platform space?" (Research Amperityβs mission, products, and recent news.)
- "How do you approach mentoring other designers? Describe your feedback style." (Demonstrate your leadership and collaborative spirit.)
- "How do you ensure design fidelity when working with front-end developers and component libraries?" (Be ready to discuss your technical literacy and collaboration with engineering.)
- "Describe a situation where you had to create clarity out of ambiguity. What was your process?" (Showcase your ability to navigate uncertainty and define paths forward.)
Portfolio Presentation Strategy:
- Structure for Impact: Dedicate 5-7 minutes per case study. Start with the problem and your role, then detail your process, key decisions, and finally, the outcomes and learnings.
- Emphasize AI & Data: Clearly articulate your contributions to AI-native features or complex data solutions. Use visuals to demonstrate the user experience and data interactions.
- Highlight Collaboration & Influence: Explain how you worked with PMs and Engineers, and how you advocated for user needs.
- Technical Details: Be prepared to discuss your Figma skills and your understanding of HTML/CSS and component libraries. Show examples where technical constraints influenced your design.
- Quantify Success: Use metrics to back up your claims about design impact. If exact numbers aren't available, discuss projected impact or key learnings.
π Enhancement Note: Preparation should focus on demonstrating expertise in enterprise SaaS, AI, and data-heavy applications. Candidates need to showcase their strategic thinking, leadership potential, and technical understanding, particularly concerning front-end implementation. A well-structured portfolio presentation that clearly articulates process and impact is paramount.
π Application Steps
To apply for this Senior UX Designer position:
- Submit your application through the provided link on Amperity's careers page.
- Tailor your Resume: Highlight experience in enterprise web applications, AI-native design, complex data workflows, and proficiency with Figma and HTML/CSS. Quantify achievements where possible.
- Curate Your Portfolio: Select 3-5 strong case studies that best represent your experience in the areas mentioned above. Ensure each case study clearly outlines your role, process, challenges, and impact, with a focus on data and AI.
- Prepare Your Presentation: Practice presenting your portfolio, focusing on clear articulation of your design process, strategic decisions, collaborative efforts, and quantifiable outcomes. Be ready to discuss technical aspects and your mentoring approach.
- Research Amperity: Understand their AI-first approach, Customer Data Cloud offering, target users, and company culture to tailor your responses and demonstrate genuine interest.
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
Candidates should have 8+ years of experience in designing complex web-based applications and proven experience in enterprise-level product design. Strong proficiency in Figma and a working knowledge of HTML/CSS are also required.