Manager of Applied AI, Solutions Support Engineering

Excerpt from the original posting

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: 

- 2+ years of experience leading or managing a team of internal tool developers, automation engineers, or systems developers, driving technical direction, scheduling and running Agile sprints, and managing epics and defects in Jira while staying actively hands-on in the code. 

- 5+ years of hands-on development experience building internal tools, backend services, APIs, and web applications using Python and TypeScript/JavaScript (e.g., Node.js, React). 

- Hands-on experience with Zendesk and Salesforce administration and development, including owning Zendesk configurations and apps, writing Salesforce Apex code, working with custom objects and workflows, and integrating with platforms like ServiceNow. 

- Practical experience deploying and maintaining cloud-hosted services on GCP (or AWS/Azure) using containers, relational databases (e.g., PostgreSQL), data warehouses (e.g., BigQuery), and message queues. 

- Hands-on experience using AI models, APIs, prompt engineering, and AI-assisted coding tools to build internal applications, automate operational workflows, and speed up the development lifecycle. 

- Experience with everyday development and deployme…

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