Senior Revenue Systems Administrator at Wiz
- Company: Wiz
- Location: Remote - USA
- Salary: $138K – $189K
- Job type: full time
- Workplace: remote
- Posted: 2026-10-23
Job description
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google , meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum qualifications 7+ years of hands-on Salesforce administration experience, with 5+ years focused deeply on enterprise-scale Salesforce CPQ or Agentforce Revenue Management (ARM) in a high-growth SaaS or enterprise tech ecosystem. Direct experience writing, testing, and debugging custom JavaScript within the Salesforce CPQ Quote Calculator Plugin (QCP) to execute advanced pricing algorithms that exceed declarative limits. Expert-level mastery of Price/Product Rules, Bundles, Summary Variables, Custom Actions, and Advanced Approvals. Advanced proficiency in Salesforce Flow architecture, design patterns, and platform limits, adhering to scalable enterprise best practices. Strong working knowledge of Quote-to-Cash lifecycles, contract amendments, renewals, co-terming, multi-currency quoting, and downstream billing/revenue recognition touchpoints. Preferred qualifications Proven experience integrating generative AI coding and reasoning tools into day-to-day configuration, script generation, and testing workflows. Exceptional diagnostic capability to trace and resolve calculation bottlenecks, execution loop issues, and data anomalies across declarative rules and custom scripts. Track record of driving technical initiatives autonomously within an Agile/Scrum environment, utilizing Jira or similar platforms to manage technical debt, sprint deliverables, and release cadences. Strong communication skills with the ability to articulate technical constraints, trade-offs, and design patterns to non-technical business leaders. About the job The Business Systems Team is central to Wiz's operational excellence and growth, ensuring the reliability and evolution of key business systems that support critical functions across the organization. Composed of technical administrators, developers, and analysts, the team focuses on maintaining and optimizing these business systems to drive efficiency and effectiveness. Combining strategic oversight with tactical execution, the Business Systems Team directly contributes to the success of Wiz's core business objectives as the company scales. As a Senior Revenue Systems Administrator, you will serve as a primary technical owner of our Quote-to-Cash architecture, with a deep focus on Salesforce CPQ. This role sits at the critical intersection between Go-to-Market, Finance, and Product. You will lead the design, implementation, and optimization of complex pricing engines, product catalogs, and contracting pipelines. Combining deep declarative mastery with programmatic customization, you will build resilient, highly scalable revenue systems while leveraging modern AI developer tooling to accelerate solution delivery and automate
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