Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: SecurityScorecard

Location: New York City, NY, United States (Hybrid)

Job Type: Full-Time

Category: Product Design / UX/UI (with a strong technical and AI focus)

Date Posted: 2026-09-10

Experience Level: 7+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design of complex, AI-powered cyber risk workflows and B2B SaaS features, focusing on third-party risk assessments and continuous monitoring.

• Leverage AI tools, such as Claude, to create interactive prototypes directly within the codebase and design system, accelerating iteration cycles.

• Drive product innovation by integrating usability testing, product analytics, and accessibility standards (WCAG 2.2) into a data-driven design process.

• Collaborate closely with Product Management and Engineering to translate ambiguous requirements into robust, user-centric solutions for enterprise clients.

• Contribute to the evolution and machine readability of a mature design system, ensuring scalable AI prototyping capabilities.

📝 Enhancement Note: This role is highly specialized, requiring a deep technical aptitude and a proactive approach to integrating AI into the core design workflow. The emphasis on "grounding prototypes directly in our codebase" and using AI for "prompting AI tooling such as Claude to build interactive prototypes in code" indicates a need for designers who are not just concept creators but also skilled in bridging the gap between design and development through AI-assisted coding.

📈 Primary Responsibilities

• Own the complete design lifecycle for intricate, AI-driven cybersecurity workflows, including third-party vendor risk assessments, automated security questionnaires, and continuous monitoring solutions.

• Conduct rigorous usability testing, analyze behavioral and product analytics (e.g., FullStory, Pendo), and integrate research findings to refine design iterations.

• Systematically design for complex B2B SaaS environments, effectively managing role-based access control, multi-tenant architectures, and sophisticated data-filtering mechanisms.

• Utilize AI, specifically tools like Claude, to generate interactive prototypes that are directly integrated with the existing codebase and design system, rather than creating standalone concepts.

• Employ AI throughout the design process for tasks such as synthesizing research data, rapidly visualizing concepts, identifying and addressing edge cases, and validating functional prototypes.

• Enhance the company's design system by developing durable patterns and ensuring machine readability to support AI prototyping at scale, with a firm commitment to WCAG 2.2 accessibility standards.

• Facilitate AI fluency within the product design team by leading collaborative prototyping workshops and sharing advanced AI prompting techniques.

• Foster strong cross-functional partnerships with Product and Engineering teams, transforming ambiguous project briefs into well-defined, evidence-based design solutions.

📝 Enhancement Note: The responsibilities emphasize a hands-on, deeply technical approach to product design. The requirement to "bridge design and code with AI prototyping" and "work directly against our codebase" suggests that candidates will be expected to contribute code-level prototypes and actively engage with the engineering team's development environment, leveraging AI as a tool for this integration.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a strong portfolio and demonstrated technical expertise are paramount. A Bachelor's degree in Design, HCI, Computer Science, or a related field would be beneficial.

Experience: 7+ years of professional product design experience, with a minimum of 3 years specifically focused on B2B SaaS platform environments. Direct experience with complex UI challenges is essential; a B2C background is not considered a direct substitute for this role's demands.

Required Skills:

• Proven expertise in designing complex user interfaces for B2B SaaS products, handling multi-dimensional data, analytics dashboards, intricate permissioning systems, or deeply nested application structures.

• Demonstrated, hands-on experience integrating AI tools (e.g., Claude) into the design process for building interactive, code-grounded prototypes. This includes proficiency in prompting AI for design and development tasks.

• Strong portfolio showcasing a track record of transforming ambiguous problems into successfully shipped B2B SaaS features with minimal direct oversight.

• Experience in developing, maintaining, and contributing to design systems, ensuring consistency and scalability.

• Advanced proficiency in Figma and other AI-assisted design tooling.

• Deep understanding of cognitive load principles, decision-making frameworks, and designing interfaces that minimize user error, particularly in high-stakes security contexts.

• Practical experience incorporating usability testing, product analytics (e.g., FullStory, Pendo), and WCAG 2.2 accessibility standards as default components of the design process. Preferred Skills:

• Prior experience in the cybersecurity domain, specifically with Third-Party Risk Management (TPRM) or Governance, Risk, and Compliance (GRC) platforms.

• Experience designing AI-enabled features that prioritize user trust, handle model errors gracefully, and maintain user control over outcomes.

• Hands-on front-end development capabilities beyond prototyping, including experience writing HTML, CSS, and component code that has been shipped to production.

• Ability to contribute directly to a design system within the codebase repository.

📝 Enhancement Note: The qualifications strongly differentiate this role from a typical product designer position. The explicit requirement for "hands-on use of AI in your own design practice, including prompting AI tooling such as Claude to build interactive prototypes in code that are grounded in an existing codebase" is a critical differentiator. Candidates must be prepared to showcase this specific experience and its impact on their design outcomes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio that clearly demonstrates your ability to handle high-complexity UI challenges, such as multi-dimensional data visualization, advanced analytics dashboards, intricate permission management systems, or deep application nesting within B2B SaaS environments.

• Evidence of translating ambiguous problem statements into tangible, shipped product features, showcasing a proactive and independent approach to problem-solving.

• Detailed case studies highlighting your practical application of AI tools (e.g., Claude) in the design and prototyping process, specifically demonstrating how AI was used to generate code-based prototypes grounded in an existing codebase or design system.

• Examples of your contributions to and collaboration with design systems, illustrating your understanding of pattern durability, scalability, and machine readability for AI integration.

• Projects that showcase your application of user research, usability testing, product analytics, and accessibility standards (WCAG 2.2) in driving design decisions and improvements. Process Documentation:

• Showcase your methodology for conducting user research, including usability testing and leveraging product analytics (FullStory, Pendo) to inform design iterations and validate hypotheses.

• Provide examples of how you've designed for complex B2B paradigms such as role-based access control, multi-tenant architectures, and sophisticated data filtering, explaining the strategic design considerations.

• Detail your experience with AI-assisted design, including specific prompting techniques used with tools like Claude to generate interactive prototypes in code, and how these prototypes were integrated with existing codebases and design systems.

• Illustrate your approach to contributing to and maintaining design systems, focusing on creating scalable patterns and ensuring machine readability for future AI-driven design initiatives.

📝 Enhancement Note: The portfolio requirements are exceptionally specific and technically oriented. The emphasis on AI-driven code prototyping and the direct integration with existing codebases means candidates must prepare portfolio examples that explicitly detail these advanced workflows, rather than just presenting final UI mockups.

💵 Compensation & Benefits

Salary Range: $180,000 - $250,000 annually. This range represents the estimated total compensation, including base salary and potential performance-based incentive compensation awards. The final compensation will be determined based on a variety of factors, including the candidate's specific skills, qualifications, experience, and the company's affordability considerations.

Benefits:

• Competitive base salary and stock options.

• Comprehensive health benefits package.

• Generous Unlimited Paid Time Off (PTO) policy.

• Parental leave benefits.

• Tuition reimbursement program for continued learning and development.

• Other unspecified benefits contributing to a well-rounded employee experience.

Working Hours: Standard full-time hours are assumed, typically 40 hours per week, with flexibility for hybrid work arrangements. The role requires a commitment to driving complex projects forward, which may occasionally necessitate working beyond standard hours, especially during critical development phases or when leveraging AI for rapid prototyping.

📝 Enhancement Note: The provided salary range of $180,000 - $250,000 USD aligns with Staff-level Product Designer roles in major tech hubs like New York City, particularly for positions requiring specialized technical skills and AI expertise. This range is competitive for senior-level design talent in the B2B SaaS and cybersecurity sectors.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cybersecurity Ratings & Risk Management. SecurityScorecard operates at the forefront of the cybersecurity industry, providing critical insights into the security posture of organizations worldwide. This industry context means the work is high-stakes, data-intensive, and requires a constant awareness of evolving threats and regulatory landscapes.

Company Size: Over 200+ employees globally, indicating a growing, dynamic organization with established processes but still retaining some startup agility. This size suggests opportunities for impact and visibility within a focused team, while also benefiting from structured support.

Founded: 2013. Founded by security and risk experts, SecurityScorecard has a strong foundation in its core domain, having established itself as a leader in cybersecurity ratings. This history suggests a culture built on deep technical understanding and a mission-driven approach to making the world safer.

Team Structure:

• The Product Design team is part of a larger Product organization, working closely with Product Management and Engineering. As a Staff Designer, you will likely operate with a high degree of autonomy within the team.

• Expect a collaborative environment where designers, product managers, and engineers work in tight-knit squads or pods to deliver features.

• The reporting structure will likely involve reporting to a Head of Product Design or a similar senior design leadership role, with direct collaboration across multiple product development teams. Methodology:

• Data-Driven Design: Strong emphasis on using behavioral and product analytics (FullStory, Pendo) to inform design decisions and measure impact.

• AI-Native Workflow: Integration of AI tools like Claude for rapid prototyping, concept exploration, and code generation is a core operational methodology.

• Agile Development: While not explicitly stated, the nature of SaaS product development and the emphasis on rapid iteration suggests an agile or hybrid agile approach.

• Design System Centricity: A commitment to building and leveraging a robust design system for consistency, scalability, and enabling AI prototyping.

Company Website: https://securityscorecard.com/

📝 Enhancement Note: SecurityScorecard's positioning as a leader in cybersecurity ratings, backed by significant funding and recognized for its innovative culture, suggests a high-performance environment. The emphasis on AI integration points to a forward-thinking company that invests in cutting-edge technology to enhance its product and internal processes.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer. This level signifies a senior individual contributor role, expected to lead complex design initiatives, mentor junior designers, and influence product strategy. It requires a high degree of technical proficiency, strategic thinking, and autonomy.

Reporting Structure: You will report to a senior design leader (e.g., Head of Product Design) and work in close collaboration with Product Managers and Engineering teams on specific product areas. This structure allows for both strategic direction from leadership and tactical execution within product squads.

Operations Impact: As a Staff Product Designer, your work will directly impact the usability and effectiveness of SecurityScorecard's AI-powered cybersecurity workflows. This includes influencing how enterprise clients assess and manage risk, directly contributing to the company's revenue and market position by enhancing product adoption and customer satisfaction.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-driven design, advanced B2B SaaS UX, and cybersecurity product development.

• Leadership Development: Opportunities to mentor junior designers, lead design initiatives for major product areas, and contribute to design strategy.

• Cross-Functional Influence: Gain experience influencing product roadmaps and engineering practices through strong design advocacy and technical collaboration.

• Design System Evolution: Play a key role in shaping the future of the design system, particularly its integration with AI tools for scalable prototyping and development.

📝 Enhancement Note: The "Staff" title indicates a significant level of responsibility and expectation for leadership, even as an individual contributor. The growth path likely involves becoming a Principal Designer or moving into management roles, depending on individual career aspirations and company needs.

🌐 Work Environment

Office Type: Hybrid. This arrangement combines the benefits of in-office collaboration and the flexibility of remote work. Employees are expected to be in the New York City office for a portion of the week.

Office Location(s): New York City, NY, United States. This location provides access to a vibrant tech ecosystem and facilitates in-person collaboration with key stakeholders.

Workspace Context:

• Collaborative Hub: The office environment is designed to foster collaboration, team building, and spontaneous innovation, essential for complex problem-solving.

• Tooling & Technology: Access to cutting-edge design and development tools, including AI prototyping software, Figma, and potentially direct access to development environments for code-based prototyping.

• Team Interaction: Regular opportunities for in-person design critiques, brainstorming sessions, and cross-functional alignment meetings with Product and Engineering.

Work Schedule: While the standard work week is expected, the hybrid model and the nature of product development may offer some flexibility. The emphasis on rapid iteration and AI-assisted workflows suggests a dynamic pace where efficient time management is key.

📝 Enhancement Note: The hybrid model in a major city like New York suggests a professional environment that values both in-person synergy and individual flexibility. For operations roles, this typically means structured office days for key meetings and collaborative work, with flexibility for deep work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio by a recruiter or design lead to assess basic qualifications and alignment with the role's technical and AI requirements.

• Portfolio Presentation & Technical Deep Dive: A dedicated session where you will present your portfolio, focusing on case studies that demonstrate your experience with complex B2B SaaS UI, AI-driven prototyping (using tools like Claude and grounding in code), and design system contributions. Expect in-depth questions about your process, decision-making, and AI prompting strategies.

• Design Challenge/Whiteboarding Session: You may be asked to tackle a design problem, potentially involving AI integration or complex workflow design, either live or as a take-home assignment. This assesses your problem-solving skills, design thinking, and ability to articulate solutions.

• Cross-Functional Interviews: Meetings with Product Managers and Engineering leads to evaluate your collaboration style, technical understanding, and ability to work effectively within a product team.

• Hiring Manager Interview: A final discussion with the hiring manager to assess overall fit, career aspirations, and leadership potential within the team.

Portfolio Review Tips:

• Highlight AI Proficiency: Dedicate significant space to showcasing your hands-on experience with AI in design, specifically how you've used tools like Claude to generate code-based prototypes and integrate them with existing codebases. Be prepared to demonstrate your prompting techniques and the impact on your design outcomes.

• Showcase Complexity: Select projects that explicitly demonstrate your ability to design for high-complexity UI challenges, such as multi-dimensional data, advanced analytics, complex permissions, or deep system nesting within B2B SaaS.

• Detail Your Process: For each case study, clearly articulate the problem, your approach, the AI tools and prompting strategies used, the design decisions made, and the final shipped results or impact. Quantify outcomes whenever possible.

• Design System Contributions: Include examples of your work with design systems, whether it's contributing new patterns, documenting components, or ensuring machine readability for AI integration.

• Technical Depth: Be ready to discuss your understanding of underlying technologies and how your design choices interact with the codebase and development constraints.

Challenge Preparation:

• Anticipate AI-Centric Problems: Prepare for design challenges that might involve integrating AI features, designing AI-driven workflows, or addressing user trust and control in AI-powered systems.

• Practice AI Prompting: Refine your ability to articulate design requirements clearly and concisely for AI tools to generate relevant prototypes or ideations.

• Focus on B2B SaaS Constraints: Be ready to design within realistic B2B SaaS constraints, such as complex data models, permissioning, and multi-tenancy.

• Articulate Technical Considerations: Practice explaining how your design solutions can be implemented efficiently, considering the existing codebase and design system.

📝 Enhancement Note: The interview process is heavily weighted towards technical design skills and practical AI application. Candidates should expect to demonstrate their ability to not just conceptualize but also to prototype and integrate designs using AI and code.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design, wireframing, and prototyping.

• Claude (or similar LLMs): Essential for AI-powered prototyping, code generation, research synthesis, and concept exploration. Candidates must demonstrate practical, hands-on experience.

• Design System: A mature, established design system that needs to be leveraged and contributed to, with a focus on machine readability for AI integration.

• Prototyping Tools: Beyond Figma and AI-generated prototypes, proficiency with other advanced prototyping tools may be beneficial.

Analytics & Reporting:

• FullStory: For analyzing user behavior and session recordings to understand user journeys and identify pain points.

• Pendo: For product analytics, user feedback collection, and in-app guides.

• Data Visualization Tools: Proficiency in interpreting data visualizations and designing dashboards that effectively communicate complex information.

CRM & Automation:

• CRM (e.g., Salesforce): While not directly a design tool, understanding CRM systems and how design impacts user workflows within them is beneficial for B2B SaaS.

• Integration Tools: Awareness of how different systems integrate and how design choices impact data flow and user experience across integrated platforms.

• Front-End Code: HTML, CSS, and component-level code knowledge are highly valued for contributing to the design system and understanding implementation realities.

📝 Enhancement Note: The explicit mention of Claude and the requirement for code-grounded AI prototypes means candidates should be prepared to discuss their specific experience with this technology and potentially demonstrate it. Proficiency in Figma and a strong understanding of design systems are foundational.

👥 Team Culture & Values

Operations Values:

• High Craft Bar & Excellence: A commitment to producing high-quality, well-executed design work, driven by a desire to "get things right."

• Growth Mindset: Openness to feedback, continuous learning, and a proactive approach to skill development, including in AI technologies.

• Team Elevation: A collaborative spirit focused on supporting and elevating teammates, fostering a collective improvement rather than individual "rockstar" performance.

• Humility & Curiosity: Confidence in one's skills balanced with an open, curious, and collaborative approach to problem-solving.

• Agility & Iteration: A fast-paced approach to design, emphasizing rapid prototyping and iterative refinement, particularly through AI-assisted workflows.

Collaboration Style:

• Cross-Functional Partnership: Deep collaboration with Product Management and Engineering is expected, involving clear communication, constructive feedback, and shared ownership of outcomes.

• Evidence-Based Decision Making: Designs and decisions are expected to be backed by user research, product analytics, and technical feasibility.

• Open Feedback Culture: A willingness to both give and receive constructive feedback to improve designs and processes.

• AI Integration Workshops: Active participation in and potentially leading sessions to share knowledge and best practices around AI-powered design.

📝 Enhancement Note: The emphasis on "team elevation" and avoiding a "rockstar" mentality suggests a highly collaborative and supportive team environment where mutual growth is prioritized. The "humility and curiosity" value is crucial for a role that involves learning and applying rapidly evolving AI technologies.

⚡ Challenges & Growth Opportunities

Challenges:

• Mastering AI-Native Design: The primary challenge is fully integrating AI into the design workflow, moving beyond conceptual use to practical, code-level prototyping and rapid iteration in a production environment.

• Designing for High Complexity: Tackling deeply technical and data-intensive workflows in cybersecurity requires a strong grasp of user cognition, information architecture, and enterprise constraints.

• Balancing Innovation with Stability: Introducing AI-driven features while maintaining user trust, ensuring graceful failure modes, and adhering to strict security standards.

• Contributing to a Mature Design System: Evolving a design system to support scalable AI prototyping and ensuring its machine readability for future applications.

Learning & Development Opportunities:

• AI Design Specialization: Become a recognized expert in AI-assisted product design and its application in enterprise software.

• Deep Domain Expertise: Gain in-depth knowledge of cybersecurity, risk management, and compliance (TPRM/GRC).

• Technical Skill Enhancement: Develop or deepen front-end coding skills (HTML, CSS, component development) and experience contributing to code repositories.

• Strategic Influence: Grow in the ability to influence product strategy and roadmap through impactful design work and cross-functional leadership.

• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the product design practice.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role, particularly around AI integration. The growth opportunities are substantial for individuals looking to become pioneers in the field of AI-augmented product design.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex B2B SaaS workflow you designed. How did you approach the user experience, especially concerning data complexity, permissions, and multi-tenancy?" (Prepare with a detailed case study focusing on these elements).

• "Walk us through a project where you leveraged AI (e.g., Claude) to build interactive prototypes grounded in an existing codebase. What were your prompting strategies, and how did it impact your iteration cycle and the final outcome?" (Be ready to share specific examples and demonstrate your AI prompting skills).

• "How do you ensure accessibility (WCAG 2.2) and user trust in AI-driven features, especially in a high-stakes security context?" (Prepare to discuss your process for integrating these critical aspects). Company & Culture Questions:

• "What do you know about SecurityScorecard's mission and its place in the cybersecurity industry? How does that resonate with your design philosophy?" (Research the company's mission, values, and market position).

• "How do you contribute to a team culture that values humility, growth, and collaboration? Provide an example of how you've elevated your teammates." (Reflect on your teamwork and mentorship experiences).

• "How do you measure the impact of your design work, particularly for AI-powered features or complex workflows?" (Prepare to discuss metrics and ROI, focusing on efficiency, adoption, and user satisfaction). Portfolio Presentation Strategy:

• AI-First Narrative: Lead with your AI-augmented design projects. Clearly explain the problem, your AI-driven solution, the specific prompts used, the resulting prototypes, and the impact on the development process and product outcomes.

• Demonstrate Technical Proficiency: Be prepared to discuss the technical aspects of your designs, your understanding of the codebase, and your contributions to the design system. Highlight any front-end coding experience.

• Quantify Impact: Wherever possible, use data and metrics to showcase the success of your designs – e.g., reduction in user errors, increase in workflow completion rates, efficiency gains from AI.

• Showcase Complexity Handling: Use case studies that clearly illustrate your ability to navigate complex data, intricate workflows, and enterprise-level constraints.

• Engage and Ask Questions: Treat the presentation as a conversation. Be ready to answer detailed questions about your process, decisions, and technical approach, and ask insightful questions about the team's challenges and future direction.

📝 Enhancement Note: The interview preparation emphasizes showcasing practical AI application and technical design skills. Candidates should be prepared for deep dives into their AI prompting strategies and how they bridge design and code.

📌 Application Steps

To apply for this Staff Product Designer position at SecurityScorecard:

• Submit your application through the Greenhouse portal linked in the job posting.

• Curate Your Portfolio for AI Impact: Ensure your portfolio prominently features case studies demonstrating your hands-on experience with AI tools (like Claude) for code-grounded prototyping. Clearly articulate your prompting techniques and the tangible benefits derived.

• Optimize Your Resume for Technical Design: Highlight your 7+ years of B2B SaaS experience, specific skills in complex UI design, design system contributions, and any front-end development capabilities. Use keywords such as "AI prototyping," "B2B SaaS," "complex workflows," "design systems," and "WCAG 2.2."

• Prepare Your Design System & AI Narrative: Be ready to discuss your experience with design systems and how you've integrated AI into your workflow. Practice explaining your design rationale and AI-driven decisions concisely and persuasively.

• Research SecurityScorecard's Product & Culture: Understand their cybersecurity rating model, their market position, and their stated company values. Prepare to discuss how your skills and approach align with their mission and innovative culture, especially regarding AI adoption.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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