Partner Solutions Architect - South East

Responsibilities

• Deliver compelling technical demos, workshops, and enablement sessions that empower partners to uncover and drive Wiz opportunities.
• Drive partner technical competency by guiding them through accreditations, certifications, CTFs, and ongoing enablement programs.
• Serve as a trusted technical advisor to partners, helping them understand and articulate customer cloud and application security challenges and how Wiz uniquely solves them.
• Provide hands-on assistance with partner opportunity qualification, technical validation, and customer-facing engagements.
• Accelerate co-sell execution through close collaboration with Wiz Sales, SEs, and Partner teams to interlock on joint territory plans, account strategies, and pipeline development.
• Evangelize Wiz confidently at partner executive briefings, industry events, and technical conferences.

Requirements

• 3+ years of Cloud Security expertise: Deep technical understanding of the major cloud providers (AWS, Azure, GCP, OCI) and the security challenges inherent to cloud-native architectures.
• Proficiency with IaC tools like Terraform, CloudFormation, or Ansible. Understand how to "shift left" and integrate security into CI/CD pipelines.
• Experience implementing "Shift Left" strategies by integrating security scanning into CI/CD pipelines (GitHub Actions, GitLab, Jenkins) to detect vulnerabilities before deployment.
• Deep understanding of modern SOC workflows and experience integrating cloud security telemetry into SIEM/SOAR platforms (Splunk, Microsoft Sentinel, Torq, Cortex XSOAR) to streamline incident response.
• Ability to explain complex technical concepts like the "toxic combination" of risks to a technical audience, and articulate the business ROI of consolidation to a non-technical executive.
• Ability to travel up to 50%.

Nice-to-Haves

• Experience with a CNAPP, container security, or runtime threat detection solution.
• Understanding of the risks associated with AI/ML pipelines and Large Language Models (LLMs) in the cloud.
• Experience with cloud data governance and discovery.
• Certifications: GCP, AWS Certified Security – Specialty, Azure Security Engineer Associate, or CKA/CKAD.