Principal Product Designer

📍 Job Overview

Job Title: Principal Product Designer

Company: Accertify, Inc.

Location: Itasca, IL, US

Job Type: Full Time

Category: Product Design / UX Design

Date Posted: May 01, 2026

Experience Level: 10+ years

Remote Status: Hybrid (3 days in-office per week, with remote flexibility for qualified US-based candidates outside the Chicagoland area)

🚀 Role Summary

• Lead the design of high-stakes fraud prevention interfaces, enabling analysts to make critical, time-sensitive decisions.

• Drive exceptional development velocity through the creation of highly detailed, AI-powered design artifacts.

• Integrate AI tools and methodologies across the entire design workflow, from research synthesis to prototyping and documentation.

• Mentor and build a team of designers who leverage AI to amplify their impact and deliver higher quality work faster.

• Partner with Product, Engineering, and Data Science leadership to align design strategy with key business outcomes and operational efficiency.

📝 Enhancement Note: This role is heavily focused on leveraging AI as a core design tool to accelerate development cycles and enhance the detail of design specifications. The emphasis on "AI-fluent" and specific tools like "Claude artifacts" suggests a forward-thinking design practice that expects candidates to be early adopters and proficient in AI-assisted design workflows. The context of fraud prevention implies a need for precision, clarity, and the ability to translate complex data and ML outputs into actionable insights for human analysts.

📈 Primary Responsibilities

• Utilize AI tools such as Claude artifacts, AI prototyping tools, and Figma AI plugins to generate high-fidelity, interactive prototypes that meticulously detail every state, loading condition, error scenario, and edge case.

• Produce comprehensive component documentation using AI, ensuring all variants, responsive behaviors, accessibility requirements, and integration patterns are clearly defined.

• Create design handoffs that proactively address developer questions, aiming to reduce review cycles from days to mere hours.

• Collaborate closely with engineering teams to establish and refine workflows where AI assists in translating design decisions into developer-friendly formats.

• Integrate AI throughout the design lifecycle: enhancing research synthesis, accelerating prototyping, improving documentation accuracy, streamlining QA processes, and facilitating iterative improvements.

• Employ AI to rapidly generate design variations, test different approaches, and maintain living documentation that remains current and accurate.

• Build and enhance team capabilities in AI-assisted design, focusing on amplifying output and quality without diminishing human judgment or creativity.

• Continuously research and integrate emerging AI design tools that demonstrably improve design quality and velocity.

• Design intuitive interfaces for fraud analysts who execute real-time decision-making on high-value transactions.

• Develop sophisticated data visualizations that help analysts identify patterns amidst complex data noise, design alert systems that manage attention without causing fatigue, and create workflows that effectively balance ML automation with necessary human oversight.

• Translate complex Machine Learning outputs, such as confidence scores, feature importance, and graph signals, into interfaces that analysts can trust and effectively utilize.

• Design for a diverse client base, ranging from mid-market fintech companies to Fortune 500 enterprises, handling millions of daily transactions.

• Foster and mentor a team of designers, guiding them to embrace AI tools for increased impact and faster, higher-quality output.

• Collaborate effectively with Product, Engineering, and Data Science leadership to ensure design strategy is tightly aligned with business objectives and operational goals.

• Conduct in-depth user research with fraud analysts in operational environments to gain a deep understanding of their workflows, pressures, and constraints.

• Define and track key performance metrics, including analyst efficiency, false positive rates, decision accuracy, and measurable improvements in developer velocity.

📝 Enhancement Note: The responsibilities highlight a dual focus: advanced AI integration in the design process and the creation of user experiences for high-stakes analytical environments. The emphasis on "accelerate development," "behavior-complete prototypes," and "answer developers' questions before they ask" points to a need for designs that are executable with minimal ambiguity. The inclusion of defining metrics like "analyst efficiency" and "developer velocity" underscores the operations-oriented nature of this design role, where impact is measured through efficiency and business outcomes.

🎓 Skills & Qualifications

Education: [While not explicitly stated, a degree in Design, HCI, Computer Science, or a related field is typically expected for a Principal-level role. Candidates with equivalent practical experience may also be considered.]

Experience:

• 10+ years of experience designing complex enterprise B2B software, with a strong preference for domains such as fraud prevention, security, fintech, or data analytics.

• Demonstrated active use of AI in daily design work, including tools like Claude for documentation and research synthesis, AI prototyping tools for interactive specifications, and Figma AI plugins.

• Proven experience using AI tools (e.g., Claude artifacts) to create prototypes that effectively communicate behavior and interactions beyond static mockups.

• Solid understanding of front-end development principles (HTML, CSS, component architecture) to ensure design specifications are directly implementable by developers.

• Familiarity with core design system concepts, including design tokens, component libraries, APIs, data structures, and the management of various loading states.

• Experience building and evolving robust design systems that engineering teams can readily implement and maintain.

• Proven track record in leading design teams, including hiring, mentoring, setting design direction, and establishing high quality bars.

• Experience designing for expert users, such as analysts, investigators, and operations teams, within enterprise environments.

• A history of successfully shipping products used by Fortune 500 companies at scale.

• Strong discipline in user research, particularly with technical users, and proficiency in continuous discovery practices.

• Ability to present design strategy effectively to executive leadership, clearly linking design decisions to tangible business metrics.

• Experience partnering with cross-functional teams (Product, Engineering, Data Science) as an equal, demonstrating influence without direct authority.

Required Skills:

• AI-Fluent Design: Active and proficient use of AI tools in daily design practice (e.g., Claude for documentation/synthesis, AI prototyping tools, Figma AI plugins).

• Enterprise B2B UX Design: 10+ years of experience designing complex, high-stakes enterprise software.

• Interactive Prototyping: Ability to create behavior-complete prototypes using AI and prototyping tools to demonstrate every state and interaction.

• Design Systems: Experience building, maintaining, and implementing design systems for engineering teams.

• User Research (Technical Users): Strong skills in conducting research with expert users like fraud analysts.

Preferred Skills:

• ML/AI Product Design: Experience designing products that incorporate Machine Learning or AI, including model explainability, confidence visualization, and human-in-the-loop workflows.

• Domain Expertise: Background in fraud detection, payments, cybersecurity, or risk management.

• AI Tool Adoption: Proven track record of using AI tools to accelerate design delivery (demonstrable in portfolio).

• High-Velocity Product Development: Experience in fast-paced product environments with resource constraints.

• Data & Analytics Understanding: Familiarity with graph databases, network analysis, or behavioral analytics concepts.

📝 Enhancement Note: The experience requirement of "10+ years" for a "Principal" role aligns with industry standards for senior individual contributor or leadership positions. The emphasis on "Active use of AI in daily design work" and specific tool mentions indicates that candidates must have hands-on experience with AI-assisted design, not just theoretical knowledge. The requirement for understanding front-end development is crucial for ensuring design feasibility and efficient implementation in a technical product environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI-Driven Design Case Studies: Showcase at least one comprehensive case study demonstrating how AI tools (e.g., Claude artifacts, AI prototyping, Figma AI) were integrated into the design process to accelerate development velocity and create highly detailed specifications.

• High-Stakes Interface Design: Present examples of complex enterprise B2B interfaces, ideally in domains like fraud, security, or data analytics, highlighting problem-solving for expert users and high-volume transaction environments.

• Design System Contribution/Leadership: Include examples of your involvement in building or evolving design systems, detailing how components were documented, managed, and implemented by engineering.

• Interactive Prototypes & Developer Handoffs: Feature interactive prototypes that showcase detailed states, edge cases, and error handling, alongside examples of clear, comprehensive developer handoffs that minimize back-and-forth.

• Impact Metrics: Quantify the impact of your design work, including metrics related to analyst efficiency, reduction in false positives, improved decision accuracy, or developer velocity improvements.

Process Documentation:

• AI Integration Workflow: Detail your process for integrating AI tools into the design workflow, from initial research synthesis and ideation to final asset delivery.

• User Research Methodology: Outline your approach to conducting user research with technical and expert users, including continuous discovery practices and translation of findings into design solutions.

• Design System Governance: Explain your methodology for establishing governance, documentation standards, and maintenance processes for design systems.

• Collaboration & Handoff Process: Describe your methods for collaborating with engineering and product teams, ensuring seamless design handoffs and ongoing communication throughout the development lifecycle.

📝 Enhancement Note: The portfolio requirements are highly specific, emphasizing the practical application of AI in design and the ability to deliver detailed, executable designs for complex enterprise systems. Candidates are expected to demonstrate not just design skills but also a systematic approach to leveraging AI for efficiency and a deep understanding of the development handoff process.

💵 Compensation & Benefits

Salary Range: $150,000 - $165,000 per year.

This range is dependent on the candidate's experience, skills, and overall qualifications.

Benefits:

• Health & Wellness: Comprehensive medical, dental, and vision coverage for employees and their families.

• Time Off: Generous paid time off, public holidays, and personal days to support work-life balance.

• Financial Growth: Competitive base salary, performance-based rewards, local retirement or savings plans (where applicable), and access to financial education resources.

• Career Development: Opportunities for ongoing training programs, mentorship, and professional growth within the company.

• Wellness Support: Access to mental health resources and dedicated wellness programs.

• Family Support: Parental leave and flexible work arrangements to accommodate family needs.

• Additional Perks: Commuter benefits, employee discounts, and company-sponsored social events.

Working Hours: Standard full-time hours are expected, typically around 40 hours per week. The hybrid work model allows for some flexibility in scheduling, particularly with the 3 days in-office requirement.

📝 Enhancement Note: The salary range provided is specific and aligns with a Principal-level Product Designer role in the Itasca, IL area, considering the tech industry and the required experience. The benefits package is comprehensive, covering health, financial well-being, professional development, and work-life balance, which are key considerations for senior talent. The mention of "local retirement or savings plans" suggests adherence to regional employment regulations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Accertify operates within the technology sector, specifically focusing on digital risk assessment and fraud prevention solutions for a global client base. They are a leading platform in managing account monitoring, payment risk, refund fraud, and dispute management.

Company Size: Accertify is part of ADP, a large global provider of business solutions. While specific internal size isn't detailed, the association implies access to resources and established corporate structures, while operating as a specialized unit.

Founded: While the founding date of Accertify itself is not provided, its parent company, ADP, has a long history, suggesting a stable and established corporate environment.

Team Structure:

• The Product Design team likely operates within a larger Product or Engineering organization.

• This Principal Designer will operate as a senior individual contributor, potentially leading design initiatives or mentoring junior designers.

• Close collaboration with Product Managers, Engineering Leads, and Data Scientists is expected, forming a core product development pod.

Methodology:

• Data-Driven Decision Making: Emphasis on using data and analytics to inform design decisions and measure impact, particularly in the context of fraud detection and risk assessment.

• Agile Development: Likely follows agile methodologies, requiring designers to be adaptable and responsive to evolving requirements and rapid iteration cycles.

• AI-Augmented Workflows: A core methodology is the integration of AI tools to enhance efficiency, detail, and speed in the design process.

• Continuous Improvement: Focus on iterating on designs based on user feedback, performance metrics, and evolving AI capabilities.

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

📝 Enhancement Note: Accertify's position as a leading digital platform in fraud prevention suggests a culture that values precision, security, and innovation. The mention of #MoveAtTheSpeedOfRight implies a focus on agility and effective decision-making. The integration with ADP provides a strong foundation, while Accertify's specialized focus brings an entrepreneurial spirit to its operations.

📈 Career & Growth Analysis

Operations Career Level: This Principal Product Designer role represents a senior individual contributor (IC) position. It signifies a high level of expertise, autonomy, and influence within the design function. The role is expected to shape design strategy, mentor others, and tackle the most complex design challenges.

Reporting Structure: The Principal Product Designer will likely report to a Director or VP of Product Design, or potentially a Head of Product. They will work closely with Product Managers, Engineering Leads, and Data Scientists on a day-to-day basis.

Operations Impact: The design directly impacts operational efficiency and effectiveness for Accertify's clients. By creating interfaces that enable fraud analysts to make faster, more accurate decisions, this role significantly influences client loss reduction, revenue maximization, and customer experience. The role also impacts internal development operations by accelerating engineering velocity through detailed, AI-generated design artifacts.

Growth Opportunities:

• Design Leadership: Potential to grow into a formal design leadership role (e.g., Design Manager, Director of Design) if interested in people management.

• Specialization: Deepen expertise in AI-driven design, complex data visualization, or the fintech/fraud detection domain.

• Strategic Influence: Become a key voice in product strategy, influencing the roadmap and future direction of Accertify's platform.

• Mentorship & Training: Develop leadership skills through mentoring junior designers and potentially leading internal training on AI design tools.

• Cross-Functional Advancement: Opportunity to move into related product strategy or program management roles by leveraging deep understanding of product development and operations.

📝 Enhancement Note: The Principal level indicates a career path that emphasizes deep expertise and influence over direct people management, though leadership opportunities are available. The role's impact is twofold: client-facing operational efficiency and internal development process improvement, offering broad career development avenues.

🌐 Work Environment

Office Type: Accertify offers a hybrid work environment. This involves a structured balance of in-office collaboration and remote work flexibility.

Office Location(s): The primary listed office is located at 2 Pierce Place, Suite 900, Itasca, IL 60143. Remote work flexibility is available for qualified candidates residing outside the Chicagoland area, provided they are located within the United States.

Workspace Context:

• Collaborative Hub: The Itasca office likely serves as a central hub for team collaboration, brainstorming sessions, and in-person meetings, fostering stronger team cohesion and idea exchange.

• Technology-Enabled: Expect access to modern design tools and technology infrastructure necessary for advanced design work, including AI tools and robust development environments.

• Cross-Functional Interaction: The office environment facilitates direct interaction with Product Managers, Engineers, Data Scientists, and other stakeholders, promoting a cohesive product development culture.

Work Schedule: A standard full-time schedule is expected, with the hybrid model allowing for 3 days per week in the Itasca office. This structure aims to balance in-person collaboration with the flexibility of remote work, accommodating personal needs while ensuring team connectivity.

📝 Enhancement Note: The hybrid model with specific in-office days suggests a deliberate effort to maintain team synergy and facilitate in-person collaboration, which is often crucial for complex problem-solving and ideation in product development. The remote flexibility for non-local candidates indicates a broader talent reach while still prioritizing in-office interaction for local employees.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on AI fluency and relevant experience.

• Portfolio Presentation & Technical Interview: Candidates will likely present their portfolio, detailing specific case studies that showcase AI integration, complex B2B design, and impact metrics. This will be followed by technical questions about design systems, front-end development, and AI tools.

• Team/Stakeholder Interviews: Interviews with Product Management, Engineering, and Data Science peers to assess collaboration skills, strategic thinking, and cultural fit.

• Executive/Leadership Interview: A final interview with senior leadership to discuss design vision, strategic impact, and leadership potential.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate how AI tools were used in each project to accelerate design, enhance detail, or improve outcomes. Use specific examples and tool mentions (Claude artifacts, Figma AI).

• Focus on Impact & Metrics: Quantify achievements whenever possible. For fraud prevention design, this could include improvements in analyst efficiency, reduction in false positives, or faster decision times. For development, focus on improved developer velocity.

• Showcase Process Detail: Demonstrate the depth of your design artifacts. Present interactive prototypes that cover edge cases, error states, and complex interactions. Explain how your detailed specifications reduce developer back-and-forth.

• Tailor to Accertify: Research Accertify's products and clients. Connect your experience to their domain of fraud prevention and risk management. Demonstrate an understanding of their "Move At The Speed Of Right" ethos.

• Leadership & Mentorship: If applicable, include examples of mentoring junior designers or leading design initiatives.

Challenge Preparation:

• AI Design Workflow Scenario: Be prepared to discuss how you would implement AI-assisted design for a new feature within Accertify's fraud detection platform.

• Developer Velocity Improvement: Outline how you would design a system or process to demonstrably increase developer implementation speed based on your designs.

• Translating ML Outputs: Prepare to explain how you would design an interface to visualize complex ML outputs (e.g., feature importance, confidence scores) for fraud analysts.

• Design System Expansion: Discuss how you would approach expanding an existing design system to accommodate new complex components or AI-driven features.

📝 Enhancement Note: The interview process emphasizes practical application of AI in design, strategic thinking, and demonstrable impact. Candidates should prepare to speak extensively about their portfolio, focusing on the "how" and "why" behind their design decisions and AI tool usage.

🛠 Tools & Technology Stack

Primary Tools:

• AI Design Platforms: Claude artifacts, other AI prototyping tools (e.g., Uizard, Galileo AI), Figma AI plugins.

• Design & Prototyping: Figma (primary), potentially Sketch, Adobe Creative Suite.

• Design Systems: Familiarity with design tokens, component libraries, and atomic design principles.

Analytics & Reporting:

• Data Visualization Tools: Experience interpreting and designing for data visualizations is key. Specific tools may include Tableau, Power BI, or custom dashboards.

• User Behavior Analytics: Understanding how to leverage data from user interactions to inform design improvements.

CRM & Automation:

• While not directly a CRM role, understanding how design impacts user journeys within enterprise software, which may integrate with CRM systems, is beneficial.

• Familiarity with API concepts and how they relate to component behavior and data flow.

• Understanding of front-end development technologies (HTML, CSS, JavaScript frameworks) to ensure design feasibility and efficient implementation.

📝 Enhancement Note: The explicit mention of "Claude artifacts" and "AI prototyping tools" is critical. Proficiency in Figma is standard, but the emphasis on AI integration tools positions this as a role for designers who are actively using and optimizing AI in their daily workflow. Understanding front-end development is crucial for translating complex AI-driven designs into implementable code.

👥 Team Culture & Values

Operations Values:

• Speed & Agility: A commitment to moving quickly and responding effectively to market demands and client needs, epitomized by the slogan "#MoveAtTheSpeedOfRight."

• Data-Driven Innovation: Using data and AI to drive informed decisions, optimize processes, and create intelligent solutions.

• Precision & Accuracy: Essential in the fraud prevention domain, where errors can have significant financial consequences.

• Collaboration & Partnership: Working closely with cross-functional teams (Product, Engineering, Data Science) as equal partners to achieve shared goals.

• Continuous Improvement: A culture that embraces learning, iteration, and the ongoing refinement of products and processes.

Collaboration Style:

• Equal Partnership: Designers are expected to collaborate as equals with Product Managers, Engineers, and Data Scientists, contributing strategic input.

• Proactive Communication: Encouraging open and frequent communication to ensure alignment and address potential issues early.

• Feedback-Oriented: A culture where constructive feedback is valued and utilized for iterative design improvements.

• Knowledge Sharing: Emphasis on sharing insights, best practices, and learnings across teams, particularly regarding AI design techniques.

📝 Enhancement Note: The company culture appears to value rapid iteration, data-informed strategies, and a collaborative, empowered team environment. The "Move At The Speed Of Right" ethos suggests a focus on making effective, well-informed decisions quickly, which is paramount in the high-stakes fraud detection industry.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for High-Stakes Decisions: Creating interfaces that support analysts making critical, high-value decisions under pressure, requiring extreme clarity and minimal error.

• Translating Complex AI/ML Outputs: Effectively visualizing and explaining intricate machine learning model outputs (confidence scores, feature importance) to human users.

• Balancing Automation and Human Judgment: Designing systems that leverage AI for efficiency while ensuring sufficient human oversight and control in fraud detection.

• Accelerating Development with AI: Successfully implementing AI-driven design workflows to achieve significant, measurable increases in development velocity without sacrificing quality.

• Keeping Pace with AI Advancements: Continuously learning and adapting to the rapidly evolving landscape of AI design tools and methodologies.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in cutting-edge AI tools and techniques for product design.

• Domain Expertise: Gain in-depth knowledge of fraud detection, risk management, and financial technologies.

• Leadership Development: Opportunities to mentor junior designers, lead design initiatives, and potentially transition into formal leadership roles.

• Industry Conferences & Training: Access to relevant industry events, workshops, and certifications related to UX, AI, and fintech.

• Cross-Functional Learning: Exposure to the intricacies of data science, machine learning, and engineering processes within a complex B2B product environment.

📝 Enhancement Note: The challenges presented are inherent to designing for complex, data-intensive, and high-impact enterprise software, especially when integrating rapidly advancing AI technologies. The growth opportunities are designed to leverage these challenges into skill development and career advancement.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex enterprise B2B product you designed. How did you use AI tools to accelerate your design process and documentation for that project?" (Focus on specifics: tools used, workflow, impact on developer velocity).

• "How would you design an interface for a fraud analyst to interpret the outputs of a machine learning model that identifies suspicious transactions? What metrics would you track to measure its success?" (Emphasize translating ML to user understanding, and defining operational metrics).

Company & Culture Questions:

• "What excites you about Accertify's mission, particularly in the fraud prevention space? How does your design philosophy align with 'Move At The Speed Of Right'?" (Research Accertify's mission, values, and market position).

• "How do you approach mentoring junior designers, especially in adopting new technologies like AI?" (Highlight leadership and team development experience).

Portfolio Presentation Strategy:

• AI Integration Storytelling: For each case study, clearly articulate the "before" (traditional design process) and "after" (AI-assisted process), highlighting the specific benefits achieved (e.g., X% faster spec creation, Y% reduction in dev questions).

• Demonstrate Detail: Walk through your interactive prototypes, pointing out specific states, edge cases, and how your detailed specifications provide clarity for developers.

• Quantify Impact: Present metrics clearly. For example, "This design iteration, informed by AI-driven analysis of user feedback, led to a 15% increase in analyst efficiency."

• Technical Depth: Be prepared to discuss the technical feasibility of your designs and how they integrate with component libraries, APIs, and front-end architecture.

📝 Enhancement Note: Interview preparation should heavily emphasize the candidate's practical experience with AI in design, their ability to translate complex technical concepts into user-friendly interfaces, and their understanding of operational metrics. Demonstrating how they can accelerate development and mentor others will be key.

📌 Application Steps

To apply for this Principal Product Designer position:

• Submit your application through the provided ADP link: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=7e862b01-74f5-420b-9eff-c900229be2cf&jobId=552090

• Curate Your Portfolio: Select 2-3 of your strongest case studies that prominently feature your experience with AI-assisted design, complex enterprise B2B software, and measurable impact. Ensure each case study clearly details the problem, your AI-driven process, the solution, and the quantifiable results.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, such as "AI-fluent," "Principal Product Designer," "fraud prevention," "enterprise B2B," "Figma AI," "Claude artifacts," "design systems," and "developer velocity." Quantify your achievements wherever possible.

• Prepare Your Presentation: Practice walking through your portfolio with a focus on storytelling, clearly articulating your role, the challenges, the AI-enhanced process, the design solutions, and the business impact. Be ready to answer in-depth questions about your methodology and tool usage.

• Research Accertify: Understand Accertify's products, target markets, and company values. Prepare thoughtful questions about their design challenges, AI integration strategy, and team culture.

⚠️ 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.