Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: SecurityScorecard

Location: Hybrid (Austin, TX)

Job Type: Full-Time

Category: Product Design (B2B SaaS, Cybersecurity, AI-Driven Workflows)

Date Posted: 2026-09-10

Experience Level: 7+ years (with 3+ years in B2B SaaS)

Remote Status: Hybrid

🚀 Role Summary

• Design complex, AI-powered cyber risk workflows, focusing on third-party risk assessments, automated security questionnaires, and continuous monitoring.

• Leverage deep expertise in B2B SaaS user experience paradigms, including dense data, complex permissioning, and multi-tenant workflows.

• Utilize AI extensively in the design process, grounding prototypes in the existing codebase and design system for practical, functional outputs.

• Drive end-to-end design ownership, from ambiguous problem definition to shipped solutions, collaborating closely with Product and Engineering.

📝 Enhancement Note: This role is heavily focused on technical product design within a specialized B2B SaaS context, specifically cybersecurity. The emphasis on AI-driven prototyping directly against code and design systems, rather than conceptual ideation, indicates a need for designers who are comfortable with technical implementation and iterative development cycles. The "Staff" level suggests a need for significant autonomy, strategic thinking, and the ability to influence the design direction and team capabilities.

📈 Primary Responsibilities

• Own the end-to-end design of deeply technical, AI-enabled workflows, including third-party vendor risk assessments, automated security questionnaires, and continuous monitoring.

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

• Systematically design for complex B2B paradigms, including role-based access control, multi-tenant environments, and intricate data-filtering mechanisms, viewing these as integral design components.

• Collaborate directly with the codebase and design system, utilizing AI tools like Claude to produce interactive prototypes that are anchored in actual product functionality, not theoretical concepts.

• Employ AI-native methodologies throughout the design process, including research synthesis, rapid concept visualization, edge case exploration, and functional prototype validation to accelerate iteration cycles.

• Contribute to and strengthen the company's design system, ensuring durable patterns and machine readability for scalable AI prototyping, with a default commitment to accessibility standards (WCAG 2.2).

• Elevate the product design team's AI fluency through collaborative workshops and sharing of AI prototyping techniques, enhancing collective technical skillsets.

• Partner cross-functionally with Product Management and Engineering teams to transform ambiguous briefs into defensible, evidence-based solutions, and provide constructive pushback when necessary.

📝 Enhancement Note: The responsibilities highlight a hands-on, technically adept designer who can operate at a strategic level. The emphasis on "owning" workflows and "partnering cross-functionally" points to a senior individual contributor role with significant influence. The explicit mention of AI tools like Claude and grounding prototypes in code is a critical differentiator for this role, requiring practical, not just theoretical, AI design experience.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, HCI, Computer Science, or a related field, or equivalent practical experience.

Experience: 7+ years of professional product design experience, with a minimum of 3 years specifically focused on designing B2B SaaS experiences within a platform environment.

Required Skills:

• Proven track record in designing for high-complexity UI challenges, such as multi-dimensional data, analytics dashboards, complex permission management, or deep system nesting.

• Demonstrated hands-on experience leveraging AI in personal design practice, including using AI tooling like Claude for prompting and building interactive prototypes grounded in existing codebases and design systems.

• Significant experience contributing to and working with established design systems.

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

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

• Practical experience integrating usability testing, product analytics (e.g., FullStory, Pendo), and accessibility standards (WCAG 2.2) into the design process as a default.

• Ability to translate ambiguous problems into shipped, impactful work with minimal oversight. Preferred Skills:

• Experience within 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 inaccuracies gracefully, and maintain user control over outcomes.

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

• Ability to contribute to design systems directly within the code repository.

📝 Enhancement Note: The requirement for "hands-on use of AI in your own design practice" and providing evidence of prompting AI for code-grounded prototypes is a critical filter. This is not a role for someone who has only read about AI in design; they must be an active practitioner. The preference for front-end coding skills further emphasizes the technical depth expected.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design ownership of complex B2B SaaS features or workflows, demonstrating problem framing, user research, iterative design, and shipped results.

• Include specific examples of designing for complex UI challenges like multi-dimensional data, analytics dashboards, intricate permissioning systems, or deeply nested workflows.

• Present case studies detailing your hands-on experience with AI in the design process, including how you prompted AI tools (e.g., Claude) to build interactive prototypes grounded in code and design systems.

• Highlight contributions to or significant work within established design systems, demonstrating an understanding of pattern durability and scalability.

• Demonstrate how you integrated usability testing, product analytics, and accessibility standards (WCAG 2.2) into your design methodology. Process Documentation:

• Clearly articulate your design process, emphasizing iterative loops and how you leverage AI tools for rapid concept generation and validation.

• Detail your approach to collaborating with engineering teams, particularly in grounding prototypes in existing codebases and design systems.

• Provide examples of how you synthesized research and analytics data to inform design decisions and measure impact.

• Showcase your understanding of designing for enterprise constraints such as role-based access control, multi-tenant environments, and complex data filtering.

📝 Enhancement Note: The portfolio must explicitly address the AI prototyping requirement. Candidates should be prepared to walk through specific prompts, the resulting prototypes, and how these AI-assisted outputs influenced the final design decision or accelerated the development cycle. Evidence of contributing to code-level design systems is also a strong differentiator.

💵 Compensation & Benefits

Salary Range: $180,000 - $250,000 USD per year (estimated total compensation, including base salary and potential bonus).

Benefits:

• Competitive salary package.

• Stock options for equity participation.

• Comprehensive health benefits.

• Unlimited Paid Time Off (PTO).

• Generous parental leave.

• Tuition reimbursements for continued learning.

• Other benefits as applicable per country (specifics to be confirmed).

Working Hours: Standard full-time hours, typically around 40 hours per week, with flexibility expected for a hybrid role and collaborative cross-functional work.

📝 Enhancement Note: The provided salary range of $180,000 - $250,000 USD is typical for a Staff Product Designer role in a tech hub like Austin, especially within a specialized and high-growth sector like cybersecurity and AI. This range reflects the seniority, technical expertise, and significant impact expected from the candidate. The benefits package is competitive for the tech industry, emphasizing work-life balance and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cybersecurity Ratings & Risk Management. SecurityScorecard operates at the intersection of cybersecurity, data analytics, and enterprise risk management, providing a critical service for businesses globally.

Company Size: Over 200+ employees globally (as of older data points, likely larger now given growth). This size indicates a mature startup environment with established processes but still retaining agility.

Founded: 2013. The company has a decade of experience in building and scaling its innovative platform.

Team Structure:

• The Product Design team is likely structured within the Product organization, working closely with Product Management and Engineering.

• As a Staff Product Designer, you would be a senior individual contributor, potentially mentoring more junior designers and influencing team processes.

• Cross-functional collaboration is paramount, involving close partnerships with Product Managers, Engineers, Researchers, and potentially Marketing and Sales teams. Methodology:

• Data-driven decision-making, heavily relying on product analytics and user research to inform design.

• Agile development methodologies are expected, facilitating rapid iteration and continuous delivery.

• A strong emphasis on leveraging AI to enhance both the product's capabilities and the design team's efficiency.

• Design system-driven development ensures consistency, scalability, and facilitates AI-native prototyping.

Company Website: https://securityscorecard.com/

📝 Enhancement Note: SecurityScorecard's emphasis on innovation (Fast Company's "World's Most Innovative Companies") and employee engagement ("Most Engaged Workplaces") suggests a culture that values both technical excellence and a positive, collaborative work environment. The "AI-native" and "grounded in code" design approach indicates a practical, engineering-centric design culture.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer. This level signifies a senior individual contributor role with a high degree of autonomy, technical depth, and strategic influence. It requires mastery of complex design challenges and the ability to drive significant product outcomes independently.

Reporting Structure: Typically reports to a Director or VP of Product Design or Head of Design. Works in close partnership with Product Managers and Engineering Leads for specific product areas.

Operations Impact: This role has a direct impact on the usability and effectiveness of SecurityScorecard's core AI-powered cybersecurity risk assessment products. By designing intuitive and efficient workflows, you will enhance customer adoption, reduce risk for clients, and contribute to the company's market leadership. The ability to design for complex enterprise constraints and leverage AI effectively will be critical to the product's success and competitive differentiation.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-driven design, cybersecurity UX, and complex B2B SaaS platform design.

• Leadership: Potential to grow into a Principal Designer role, taking on larger strategic initiatives or leading design for critical product areas. Mentoring junior designers and shaping design processes.

• Cross-functional Influence: Expand influence across Product and Engineering leadership, contributing to product strategy and roadmap decisions.

• System Ownership: Become a key contributor and potentially a lead for the design system, especially its integration with AI tooling.

📝 Enhancement Note: The "Staff" title implies a career path focused on deep individual contribution and technical leadership rather than immediate people management, though management opportunities may arise later. The emphasis on AI and cybersecurity provides a niche for highly specialized growth.

🌐 Work Environment

Office Type: Hybrid work model, requiring some in-office presence in Austin, TX, for collaboration and team engagement.

Office Location(s): Austin, TX, USA. This location is a major tech hub, offering a vibrant ecosystem for talent.

Workspace Context:

• A collaborative environment where designers work closely with product managers and engineers, often co-located or in dedicated project pods.

• Access to cutting-edge design tools, including Figma and AI-powered prototyping software.

• Opportunities for interactive sessions, design critiques, and knowledge sharing with a team that values technical skill and continuous learning.

• The work involves handling sensitive data and complex security concepts, requiring a focused and detail-oriented approach.

Work Schedule: While generally adhering to standard business hours, the hybrid nature and the demands of cross-functional product development may require flexibility. The emphasis on rapid iteration and AI-driven prototyping suggests an environment that supports focused work blocks.

📝 Enhancement Note: The hybrid arrangement in Austin suggests a balance between in-person collaboration and remote flexibility, common in modern tech companies. The focus on "AI-native" and "grounded in code" implies a workspace that encourages experimentation and rapid feedback loops between design and engineering.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Technical Interview: A deep dive into your portfolio with hiring managers or senior designers. This will focus heavily on your experience with complex B2B SaaS, AI-driven design, and your ability to ground prototypes in code. Be prepared to demonstrate your AI prompting skills and show what you built.

• Design Challenge/Workshop: You may be given a design exercise or participate in a collaborative workshop simulating real-world problem-solving scenarios. This could involve designing a specific workflow or iterating on an existing feature using AI tools.

• Cross-functional Interviews: Meetings with Product Managers and Engineering Leads to assess collaboration skills, technical understanding, and ability to integrate design into the development lifecycle.

• Final Interview: Possibly with a senior leader (e.g., VP of Product) to discuss strategic thinking, leadership potential, and overall fit.

Portfolio Review Tips:

• Show, Don't Just Tell: Focus on case studies that clearly articulate the problem, your process (especially AI usage), your specific contributions, and the measurable impact of your work.

• Highlight AI Proficiency: Dedicate a significant portion of your portfolio to demonstrating your hands-on experience with AI in design. Show your prompts, the AI-generated outputs, how you refined them, and how they directly influenced the final shipped product or accelerated your workflow.

• Technical Depth: Showcase examples of complex UI challenges (data, permissions, multi-tenancy) and how you approached them systematically. If you have front-end experience, include examples of shipped code or design system contributions.

• Conciseness and Clarity: Ensure your portfolio is well-organized, easy to navigate, and clearly communicates your value proposition. Prioritize quality over quantity.

• Company Relevance: Tailor your presentation to highlight experiences most relevant to SecurityScorecard's B2B SaaS cybersecurity domain and AI focus.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with cybersecurity concepts, third-party risk management, and common GRC challenges.

• Practice AI Prototyping: Experiment with AI tools like Claude to generate UI elements, code snippets, and interactive prototypes. Practice grounding these in hypothetical existing codebases.

• Articulate Process: Be ready to explain your design process, emphasizing how you manage complexity, integrate feedback, and leverage AI for efficiency and innovation.

• Focus on Impact: Prepare to discuss how your design decisions drive business outcomes, improve user efficiency, and mitigate risk.

📝 Enhancement Note: The interview process is heavily weighted towards practical, technical application of AI in design. Candidates must be prepared to demonstrate their skills with AI tools and show tangible outputs that prove their ability to work "AI-native" and "grounded in code."

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design and prototyping tool, expected to be used extensively.

• AI Design & Prototyping Tools: Claude (explicitly mentioned), and potentially others for research synthesis, concept generation, and code-based prototyping.

• Design System Tools: Figma libraries, potentially component libraries in code repositories.

Analytics & Reporting:

• FullStory: For session recording and user behavior analysis.

• Pendo: For product analytics, user onboarding, and in-app messaging.

• Other Product Analytics Platforms: Familiarity with tools like Google Analytics, Mixpanel, or Amplitude may be beneficial.

CRM & Automation:

• CRM: While not a direct design tool, understanding how designs impact CRM workflows (e.g., Salesforce) could be relevant for B2B SaaS.

• Collaboration & Project Management: Tools like Jira, Confluence, Asana, or Trello for workflow management and team communication.

Front-end Technologies (Preferred):

• HTML, CSS: For understanding and potentially contributing to component code.

• JavaScript/Frameworks (e.g., React): Beneficial for deeper collaboration with engineering on component implementation.

📝 Enhancement Note: The explicit mention of Claude and the requirement to prototype directly against code and design systems indicates a highly integrated design and development workflow. Proficiency in Figma is a baseline, but the ability to leverage AI for code-grounded prototypes is a unique and critical requirement.

👥 Team Culture & Values

Operations Values:

• High Craft Bar: Commitment to producing high-quality, well-crafted design solutions.

• Growth Mindset: Embracing feedback, continuous learning, and personal development.

• Collaboration & Team Elevation: Working to improve the collective skills and outcomes of the team, avoiding "rockstar" mentalities.

• Humility & Curiosity: Leading with confidence but remaining open, curious, and collaborative.

• Speed & Iteration: Moving quickly between prototypes, leveraging AI for rapid validation and refinement.

• Data-Driven: Basing design decisions on evidence from user research and product analytics.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with Product Managers and Engineers is essential, treating them as true partners in the design process.

• Evidence-Based Dialogue: Pushing back on briefs or ideas with data and reasoned arguments, rather than just opinion.

• Knowledge Sharing: Actively participating in workshops and discussions to share AI prototyping techniques and best practices, elevating the team's capabilities.

• Iterative Improvement: A culture that encourages frequent iteration and refinement based on feedback and data.

📝 Enhancement Note: The team culture values individuals who are both technically proficient and collaborative. The emphasis on "elevating teammates" and "leading with humility" suggests a supportive environment where learning from each other is prioritized. The "moves fast between prototypes" point highlights a dynamic and iterative work style.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Effectively translating complex AI capabilities into intuitive and trustworthy user experiences, especially in a high-stakes security context.

• Balancing Innovation with Technical Constraints: Rapidly iterating with AI while ensuring prototypes and designs are grounded in existing code and design systems, avoiding purely conceptual work.

• Earning User Trust in AI: Designing AI-driven features that users can rely on, understanding when AI might err, and empowering users to maintain control.

• Integrating AI into Existing Workflows: Seamlessly incorporating AI tools and methodologies into established design and development processes without disruption.

Learning & Development Opportunities:

• Cutting-Edge AI Design: Become a leader in applying AI to product design, mastering prompt engineering for design outputs and code generation.

• Cybersecurity Domain Expertise: Deepen knowledge in cybersecurity, risk management, and GRC, becoming a subject matter expert in UX for this critical field.

• Design System Advancement: Contribute to the evolution of a robust design system, potentially exploring its machine readability and AI integration.

• Cross-functional Leadership: Develop skills in influencing product strategy and roadmap through compelling design advocacy.

📝 Enhancement Note: The primary challenge is navigating the cutting edge of AI in design within a technically demanding B2B SaaS environment. The growth opportunities are significant for those who can master these challenges and become pioneers in AI-driven product design.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex B2B SaaS workflow you designed. How did you approach the challenges of dense data, permissions, or multi-tenancy?" (Focus on systematic problem-solving, user-centricity, and impact).

• "Walk me through a project where you heavily leveraged AI in your design process. What tools did you use, what prompts were effective, and how did the AI output influence your final design and development?" (Be ready to show specific examples from your portfolio).

• "How would you design an AI-powered feature for continuous monitoring that needs to earn user trust and allow users to maintain control?" (Focus on transparency, graceful failure, and user agency). Company & Culture Questions:

• "Why are you interested in SecurityScorecard and our mission to make the world safer?" (Connect your values to the company's mission).

• "How do you approach giving and receiving feedback, especially in a collaborative team environment?" (Highlight your growth mindset and humility).

• "Describe a time you had to push back on a product brief or a stakeholder's idea with evidence. What was the outcome?" (Demonstrate your ability to advocate for user needs and data-driven decisions). Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of your most relevant projects, focusing on those that showcase your AI experience and complex B2B SaaS design skills.

• Deep Dive on AI Case Studies: Allocate significant time to projects where you used AI. Clearly explain your goals, the prompts used, the AI's output, your subsequent design refinements, and the measured impact. Be prepared to show interactive prototypes.

• Demonstrate Technical Acumen: Explain how your designs integrate with existing codebases and design systems. If you have front-end experience, be ready to discuss component-level design.

• Quantify Success: Whenever possible, use metrics to demonstrate the impact of your designs (e.g., improved conversion rates, reduced task completion time, increased user satisfaction).

• Engage in Dialogue: Treat the portfolio review as a conversation. Be open to questions and ready to elaborate on your process and decisions.

📝 Enhancement Note: The interview process will heavily scrutinize your practical application of AI in design. Prepare detailed case studies that not only show the final product but the AI-assisted journey to get there, including specific prompts and iteration loops.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided link on greenhouse.io.

• Curate Your Portfolio: Select 2-3 key projects that most strongly demonstrate your experience with complex B2B SaaS design, hands-on AI application (with specific examples of prompts and outputs), and contributions to design systems. Ensure these projects align with SecurityScorecard's mission and industry.

• Optimize Your Resume: Highlight keywords such as "B2B SaaS," "Product Design," "AI Prototyping," "Design Systems," "Figma," "User Experience," "Cybersecurity," and "WCAG 2.2." Quantify achievements and responsibilities clearly.

• Prepare Your AI Demonstration: Be ready to articulate your AI prompting strategies and showcase interactive prototypes built with AI. Practice walking through these examples concisely and effectively, explaining their impact.

• Research SecurityScorecard: Understand their product, market position, mission, and company culture. Prepare thoughtful questions about their AI strategy, design team processes, and future product vision.

⚠️ 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.