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WizWizUnited States

Manager, Solutions Support Engineering

Manage and mentor a team of Technical Support Engineers providing customer support for Wiz's cloud security platform. Requires 5+ years cloud infrastructure experience (AWS/Azure/GCP), Kubernetes expertise, and using AI to build automation tools and scale support.

144k – 198k
Remote5+ YOESupport Engineering

About the role

What You'll Do

  • Manage, develop, coach and mentor a team of Technical Support Engineers responsible for technical customer support within the Wiz product.
  • Act as the owner for your team’s accountability and performance - partnering closely with upper management to facilitate performance reviews, performance plans, and any employee relations issues for your direct reports.
  • Ensure successful training and onboarding of new hires.
  • Guide the team through technical-training and additional learning and development needs.
  • Drive projects or initiatives to improve team productivity, process or procedure.
  • Collaborate with internal teams and customers on high-priority escalations and act as a resource to resolve escalations from team members as necessary.
  • Identify cases that require escalation (either technically or strategically).
  • Create, maintain, and coordinate incident management requests to product or engineering.
  • Design and implement solutions that scale the support offering through automations.
  • Coordinate with Customer Success Managers to address any technical issues impacting a customer's success.
  • Create technical articles or knowledge base (e.g., 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 environment 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.
  • Security & Monitoring: Practical experience managing hybrid-cloud identity, security protocols, and monitoring/logging pipelines.

Candidates must meet EAR part 772 and ITAR 120.15 definition of a U.S. person and reside in the contiguous United States.

Skills

AWSAzureGCPKubernetesAi ApisScriptingTechnical SupportIncident ManagementSecurity ProtocolsMonitoring PipelinesAutomation ToolsClaude Code
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