Manager of Applied AI, Solutions Support Engineering (AI)

Location: Remote - USA; candidates must reside in the contiguous United States and meet the EAR/ITAR U.S. person requirement. The role does not offer visa sponsorship.

Company

Wiz is a cybersecurity company building a cloud and AI security platform that connects code, cloud, and runtime into a shared context.

What you will do

• Lead, mentor, and guide an AI-first team of internal tool and automation developers, including sprint planning, Jira epics and defect management, technical execution, and team growth.
• Own the tooling and automation roadmap for the technical support experience, designing support platform architecture and tools for case resolution.
• Write, review, and ship Python, TypeScript/JavaScript, and Apex code across internal web applications, background jobs, and CRM integrations.
• Build AI-assisted tools and workflows for ticket triage, pre-investigation, automated resolution, and development lifecycle acceleration.
• Own Zendesk administration, architecture, custom development, embedded apps, webhooks, workflows, routing, and SLA logic, while integrating Salesforce and ServiceNow.
• Maintain support tooling and GCP infrastructure, including ticket routing, browser and IDE extensions, Slack/Jira/Zoom/PagerDuty integrations, containers, PostgreSQL, BigQuery, Pub/Sub, and Terraform.

Requirements

• 2+ years of experience leading or managing a team of internal tool developers, automation engineers, or systems developers, including technical direction, Agile sprints, Jira epics and defects, and hands-on coding.
• 5+ years of hands-on development experience building internal tools, backend services, APIs, and web applications with Python and TypeScript/JavaScript, such as Node.js and React.
• Hands-on Zendesk and Salesforce administration and development experience, including Zendesk configurations and apps, Salesforce Apex, custom objects, workflows, and integrations such as ServiceNow.
• Experience deploying and maintaining cloud-hosted services on GCP, AWS, or Azure using containers, relational databases such as PostgreSQL, data warehouses such as BigQuery, and message queues.
• Hands-on experience with AI models, APIs, prompt engineering, and AI-assisted coding tools for internal applications, operational workflow automation, and development lifecycle acceleration.
• Experience with Terraform, Docker, Git, CI/CD pipelines, and changes across cloud services and CRM sandboxes.
• Must meet the EAR part 772 and ITAR 120.15 definition of a U.S. person and reside in the contiguous United States.

Nice to have

• Experience connecting AI tools and workflows to internal systems with Model Context Protocol servers, tool proxies, Gemini, and Claude Code.
• Experience building custom UI components, embedded apps, and integrations across Zendesk, Salesforce, and ServiceNow, including ZAF apps and Salesforce Lightning Web Components.
• Experience building internal productivity tools such as Chrome extensions, VS Code extensions, or cloud-hosted workspaces.
• Experience building ticket routing, scheduling, and team availability tools based on queues, engineer skills, and global shift coverage.
• Familiarity with Slack bots and workflows, Jira, Zoom, and BI reporting pipelines.
• Prior customer-facing technical support experience, preferably at a B2B technology company.

Culture & Benefits

• Remote work from the USA with collaboration across a global organization.
• Hands-on, AI-first technical leadership within the support engineering organization.
• Collaboration with Support leadership, Solutions Support Engineers, Product, and the CTO team.
• Opportunity to build tools protecting cloud and AI infrastructure for major enterprise customers.