Senior Customer Success Engineer - Workforce AI Security

Why Join Us?

Workforce AI Security is Check Point's fastest-growing area, focused on securing the AI transformation across organizations.

Our agents run on tens of thousands of customer endpoints across Windows and macOS, intercepting AI traffic, enforcing DLP, and protecting MCP servers.

In this role, you will join customer calls when deployments stall or endpoints stop reporting, troubleshoot issues by analyzing logs, and ensure the product works in real-world environments.

You will work closely with R&D, contribute to customer-facing playbooks and scripts, and provide feedback from the field to improve the product.

Key Responsibilities

• Run live troubleshooting sessions with customers, analyze logs, diagnose root causes, and guide fixes
• Drive endpoint deployments end-to-end, including MDM packaging (Intune, Jamf, Tanium), GPO, PAC files, certificate trust, and cross-platform installers
• Triage Tier-3 production escalations such as extension failures, authentication gaps, policy decryption issues, and proxy-related issues
• Build and maintain customer-facing diagnostic tooling and scripts (PowerShell and bash)
• Surface product issues from the field with clear bug reports, including reproduction steps, logs, and impact
• Own handoffs to Technical Account Managers after successful deployments or recovery
• Write runbooks and knowledge base articles to improve future troubleshooting efficiency
• Partner with Sales Engineers during POCs as a technical expert on customer calls
  
  

• 3–5 years in a customer-facing technical role (deployment engineering, sales engineering, support engineering, or SRE with customer exposure)
• Strong endpoint expertise on Windows and macOS
• Experience with at least one MDM platform (Intune, Jamf, Tanium, Workspace ONE)
• Strong scripting skills in PowerShell and bash (ability to build diagnostic tooling)
• Solid networking fundamentals: HTTP proxy chains, PAC files, TLS/MITM inspection, certificate trust stores, VPN split tunneling
• Ability to read application logs and troubleshoot multi-process flows
• Excellent customer-facing communication skills
• Methodical troubleshooting approach
  
  

• Experience at a security vendor (DLP, CASB, EDR, browser security)
• Familiarity with AI/LLM tools (ChatGPT, Copilot, Claude, Cursor, Claude Code)
• Read-level experience in Python, C#, or Swift
• Experience with Tanium
• Experience working with AWS, Kusto, or Elasticsearch
  
  

• Operating Systems: Windows 10/11, macOS (Sonoma/Sequoia)
• Endpoint & Deployment: Intune, Jamf, Tanium, Workspace ONE, GPO
• Scripting: PowerShell, bash, Python
• Networking: proxies, PAC files, TLS inspection, certificate stores
• Logging & Data: AWS S3, Kusto / Azure Data Explorer