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! SUMMARY As a Solutions Support Engineer Manager, you will be a part of a global team responsible for providing an outstanding technical support experience.

You are expected to be an AI-first leader, not only familiar with AI but actively using and building with it to scale our support offering. You will lead by example, using tools like Claude Code to build out advanced support models and internal tools.

WHAT YOU’LL DO

, edit or create news/ knowledge-based articles) that is internal or customer-facing for a better customer support experience Be a customer advocate for timely resolution of the problems reported, understand the environment/network and impact on business WHAT YOU’LL BRING Technical Leadership: 1+ years managing external technical support teams in a SAAS enviornment while serving as the hands-on, ultimate escalation anchor. AI Automation: Track record of writing scripts or building tools using AI APIs to automate operational workflows. Cloud Infrastructure: 5+ years of hands-on experience deploying and maintaining AWS, Azure, or GCP infrastructure.

Kubernetes Virtualization: Direct experience configuring and troubleshooting Kubernetes clusters and virtualized environments.

Manager, Solutions Support Engineering - East