Senior Product Designer, Design Systems

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Designer, Design Systems based in the United States.

The Senior Product Designer will own the user experience across an enterprise digital privacy and security platform, shaping how complex information is presented and experienced.
This role combines end-to-end product design ownership with the evolution and daily application of an established design system.
Using AI-native design workflows, you will transform product roadmaps, strategic ideas, and business requirements into polished prototypes, customer reports, and reusable materials.
You will establish consistent design patterns that help engineering teams build efficiently while reducing unnecessary customization and design rework.
A key part of the position involves translating complex digital exposure risks into clear, actionable reports tailored to executives, analysts, and operational teams.
As the organization's sole design specialist, you will work closely with Product, Engineering, and leadership, exercising independent judgment and influencing product direction.
This is an opportunity to combine design craft, systems thinking, and AI innovation to create a scalable and consistent user experience.

As Senior Product Designer, Design Systems, you will take ownership of product UX decisions, maintain and evolve the design system, and establish scalable design practices that support product development and cross-functional collaboration.

• Product UX Ownership: Own user experience decisions across the product, including user flows, information architecture, interaction patterns, and detailed interface design. Make independent design decisions while involving executive leadership when major business or technical considerations require escalation.

• Ground design decisions in business objectives, customer needs, user context, and technical feasibility, ensuring that proposed solutions can be realistically implemented by engineering teams.

• Design System Management and Evolution: Maintain and evolve design tokens covering colors, typography, spacing, elevation, and border radius, using clear semantic naming conventions that engineers and AI tools can consistently understand.

• Maintain a focused, reusable component library with clearly defined variants and extend established patterns for explorer, detail, and dashboard views, as well as panels, widgets, drill-downs, and editing modals.

• Document design rules in clear language and maintain machine-readable resources, including token files, component references, and usage guidelines.

• AI-Driven Design Production: Build high-fidelity, interactive prototypes in Claude using existing design system components and tokens to test product flows and new features.

• Transform roadmaps, strategy documents, and status updates into polished, on-brand presentations and documents for leadership and customers.

• Create reusable enablement materials, including one-pagers, feature explainers, competitive battle cards, and support guides for Marketing, Sales, and Customer Experience teams.

• Review AI-generated designs and materials to identify inconsistencies, unauthorized styling, and deviations from established patterns. Improve system documentation whenever recurring issues arise.

• Develop reusable templates, example deliverables, and prompt patterns that enable other teams to produce consistent, on-brand materials independently.

• Digital Exposure Risk Reporting: Design a family of PDF report templates tailored to different audiences, including executive summaries, detailed analyst reports, and action-oriented remediation checklists.

• Translate complex risk information into accessible charts, scores, severity indicators, and summaries that non-technical readers can understand quickly.

• Ensure reports are optimized for both print and digital formats, considering page breaks, information density, accessible severity colors, and readability in grayscale.

• Incorporate report layouts, chart styles, and standardized severity language into the broader design system.

• Cross-Functional Product Collaboration: Participate in product discovery from the earliest stages, collaborating with Product Managers and supporting features through feedback, refinement, and launch.

• Provide engineering teams with clear specifications based on established patterns and component variants rather than isolated, pixel-specific designs.

• Identify gaps in the design system when feature requirements repeatedly demand custom styling and address them through reusable components or documented patterns.

• Integrate accessibility principles, including color contrast, focus states, and readable data density, into the design system and product experience.

• Delivery and Success Measurement: Establish independent ownership of routine UX decisions within the first 90 days, developing a thorough understanding of the product, its users, and the digital exposure risk ecosystem.

• Deliver at least one feature from discovery through launch using existing design system components and make an executive exposure risk report template available to customers within the first 90 days.

• Within the first year, ensure that the complete report family is in customer use, engineering teams primarily rely on existing design patterns, and other departments can independently produce on-brand materials using reusable templates.

• Improve AI-generated design output so that drafts require only light refinement rather than substantial rework.

Requirements :

The ideal candidate is an experienced product designer with strong design systems expertise, independent UX decision-making skills, and a proven ability to integrate AI tools into everyday design workflows.

• Professional Experience: At least 5 years of product design experience, including a minimum of 2 years owning or co-owning a design system encompassing design tokens, reusable components, and documentation.

• End-to-End UX Ownership: Demonstrated experience independently owning product UX decisions, from initial discovery and user flows through detailed design and delivery.

• Design Systems Expertise: Proven ability to build, maintain, and evolve design systems that are actively adopted by engineering teams and other stakeholders, rather than simply creating component libraries.

• AI-Native Design Experience: Strong experience using AI tools as a core part of the design process. Your portfolio should demonstrate AI-generated design work, including prompts, templates, documentation, and methods used to ensure consistent output and correct AI-generated mistakes.

• Visual Design Skills: Strong visual craft and attention to detail, particularly when designing dense, data-heavy interfaces such as dashboards, tables, and administrative tools, as well as presentations and business documents.

• Information Design: Demonstrated ability to transform complex or technical information into clear, audience-specific reports, with portfolio examples showing how content can be adapted for executive and practitioner audiences.

• Technical Documentation: Strong technical writing skills, with the ability to explain design rules, their rationale, and exceptions clearly enough for both people and AI tools to follow.

• Technical Understanding: Working knowledge of how design tokens translate into implementation, including technologies such as Tailwind or CSS variables. The ability to read code is beneficial, but writing production code is not required.

• User-Centered Approach: Ability to balance user experience needs with design system consistency, tailoring workflows to specific personas while considering engineering effort and technical constraints.

• Speed and Product Partnership: Ability to complete design and feedback cycles for product features and presentations within approximately one to two weeks, manage larger initiatives through milestone-based plans, and incorporate Product Manager feedback throughout the design process.

• Communication and Ownership: Strong judgment, autonomy, collaboration, and communication skills, with the ability to serve as the central point of contact for UX decisions across Product, Engineering, and leadership.

Preferred Qualifications:

• Experience in B2B security, privacy, or data-focused products, with the ability to discuss risk severity, exposure, and remediation beyond the interface itself.

• Familiarity with headless component libraries such as Radix and an understanding of how visual design layers integrate with underlying component systems.

• Experience with motion design and data visualization, including charts, widgets, and status indicators.

Benefits :

• Fully remote position, provided the candidate works from within the United States.

• Opportunity to own the entire product UX function as the organization's dedicated design specialist.

• High level of autonomy and direct collaboration with product and executive leadership.

• Opportunity to shape and evolve an established design system and influence product development practices.

• Hands-on experience integrating AI tools into design production, prototyping, and documentation workflows.

• Broad creative scope spanning product interfaces, customer-facing risk reports, executive presentations, and cross-functional enablement materials.

• Opportunity to contribute to a growing digital privacy and cybersecurity product in a mission-focused environment.

• Salary, healthcare coverage, paid time off, and other specific benefits are not detailed in the job description.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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