• Lead the evolution and scalability of an Enterprise Design System • Ensure consistent, high-quality user experiences across products and platforms • Bridge the worlds of design and development, transforming design principles into robust, reusable, and accessible front-end Figma components • Collaborate across disciplines—design, engineering, and product—to define resilient, composable assets and patterns that shape how design system consumers build digital experiences

• Lead the end-to-end design and implementation of large-scale storage systems • Design and optimize distributed systems • Drive innovation in storage technologies • Collaborate with product managers and other engineers • Mentor senior and junior engineers • Troubleshoot complex production issues • Contribute to open-source projects • Stay current with industry trends

• Help design Wiz deployments to meet DoD CC SRG requirements. • Work with our GRC/Compliance team members to translate security controls and DoD CC SRG requirements into applicable technical solutions. • Work cross functional with Engineering and DevOps teams to consult and guide on implementation of requirements. • Ownership and crafting of detailed diagrams that align with DISA requirements, using tools like LucidChart, Visio, etc. • Perform architecture reviews and provide architecture requirements to help bring new features to Wiz regulated environments. • Help test and validate new features to see their value for customer’s as well as help Wiz meet its own security and compliance goals. • Automation of internal processes that lend themselves to meeting security controls or requirements based on a provided framework. • Stay up to date with the latest guidelines (FedRAMP, DISA, NIST, EU) to ensure that systems and processes adhere to these standards, addressing any compliance issues promptly.

• Develop and execute the roadmap for a scalable, enterprise-grade A/B testing platform that supports increased test volume and speed. • Overcome technical and process limitations by building defensible plans and leadership asks within the annual operating plan (AOP). • Partner with engineering and analytics teams to improve tagging, data quality, QA processes, reliability, and deployment workflows. • Establish best practices for experiment design, statistical rigor, governance, and documentation. • Define and report performance measures aligned to Practical Process Improvement (PPI)—including velocity, quality, cycle time, and platform reliability. • Drive platform adoption and enablement through training, onboarding, and cross-functional collaboration. • Provide dashboards and insights that help product and business teams make data-informed decisions.