
501 - 1000 employees
Founded 2013
🔒 Cybersecurity
🏢 Enterprise
💰 $180M Series E on 2021-03
Cybersecurity • Enterprise
SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $250k - $290k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🎨 Product Designer (UI/UX)
🦅 H1B Visa Sponsor
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501 - 1000 employees
Founded 2013
🔒 Cybersecurity
🏢 Enterprise
💰 $180M Series E on 2021-03
Cybersecurity • Enterprise
SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.
• Own information architecture across all surfaces. Maintain a coherent IA across new and legacy platform areas. Audit existing structures, find the fracture points, and resolve them with a long-term foundation in mind. • Set and carry cross-swimlane UX standards. Operate horizontally across every product design swimlane, ensuring structural UX thinking is applied consistently — everywhere the product lives, not just where attention happens to land. • Be the quality checkpoint for prototypes. Review prototypes across product areas as a structural-integrity gate, so work moves forward faster and with confidence — and nothing ships with structural debt baked in. • Champion a blueprint-first design motion. As the org adopts a blueprint-first approach (defining the what and how in low fidelity before any high-fidelity layer), you'll be the keeper of the bar — ensuring every output meets our UX, IA, and best-practice standards. • Elevate the design practice. Coach and model what strong structural thinking looks like, leveling up the team so it builds things right from the start rather than requiring correction after the fact. • Build the UX foundation for AI products. Partner closely with the AI product team to ensure the UX layer is structured, scalable, and ready to support intelligent product experiences. • Hold platform integrity — old and new. Maintain the standard across the current platform and future builds, progressively bringing legacy areas up to standard. • Transfer knowledge and level the team. Spread UX architecture thinking throughout the design org, building a team that constructs correctly from the start.
• 8+ years of hands-on and/or managerial UX experience with deep, demonstrated expertise in information architecture and structural/systems-level SaaS design. • A track record of owning IA across complex, multi-surface products — including untangling fractured or legacy structures. • The ability to set standards and influence horizontally across multiple teams without direct authority — leadership through craft and clarity. • Experience establishing design processes, review practices, and reusable patterns/component foundations at scale. • Fluency partnering with Product and Engineering on AI or platform-level initiatives, with an eye for building UX foundations that scale. • The judgment to know when aesthetics are doing real structural work and when they're papering over a weak foundation. • Leader mentality: An excellent communicator, patient observer, and a keen feedback-giver. • Engineering experience (JSON, CSS, C++) / Python-ML background — a plus.
• competitive salary • stock options • Health benefits • unlimited PTO • parental leave • tuition reimbursements
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