Staff Professional Services Consultant – AI Security Solutions

Proofpoint

Post-sales technical leader for deploying and optimizing AI Security Solutions. Collaborating with customers for successful integration within their cybersecurity frameworks.

Posted 4/25/2026full-timeSunnyvale • California, Utah • 🇺🇸 United StatesLead💰 $124,100 - $244,200 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudTCP/IP

About the role

Key responsibilities & impact

Lead post-sale implementation of Proofpoint AI Security solutions, including configuration, integration, and deployment
Design and execute onboarding plans aligned with customer use cases and AI adoption goals
Integrate AI Security capabilities with enterprise environments (endpoints, SaaS, APIs, LLM platforms, and data systems)
Ensure successful go-live and transition to steady-state operations
Act as a trusted technical advisor to customers on AI security best practices
Drive adoption of key platform capabilities, including AI usage visibility, agent governance, and policy enforcement
Conduct regular technical check-ins, health reviews, and optimization sessions
Help customers operationalize AI security policies and governance frameworks
Troubleshoot complex technical issues across AI Security deployments
Serve as the primary technical escalation point, working closely with Support and Engineering
Reproduce issues, collect diagnostic data, and clearly communicate findings to engineering teams
Advocate for timely resolution of customer-impacting issues
Partner with Engineering to provide feedback on product gaps, bugs, and feature enhancements
Collaborate with Product Management to influence roadmap based on customer needs
Work with Customer Success Managers and Sales Engineers to ensure a seamless customer lifecycle
Develop and share best practices, deployment guides, and technical documentation
Enable customers on new features and evolving AI security capabilities
Stay current on AI threats, agentic workflows, and emerging security trends

Requirements

What you’ll need

5+ years of experience in Customer Success Engineering, Technical Account Management, Support Engineering, or similar roles
Experience in enterprise software deployments on end user devices and cloud environments
Experience in AI Agent development in environments such as Amazon EKS, Google GKE and Azure AKS
Familiarity with networking concepts, including TCP/IP, Proxy, Firewall, CASB and SIEM
Hands-on experience with system integrations, APIs, and enterprise environments
Proven ability to troubleshoot complex technical issues and work cross-functionally with engineering teams
Excellent communication skills with the ability to explain technical concepts to diverse audiences

Benefits

Comp & perks

Competitive compensation
Comprehensive benefits
Career success on your terms
Flexible work environment
Annual wellness and community outreach days
Always on recognition for your contributions
Global collaboration and networking opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI Security solutionsconfigurationintegrationdeploymentAI Agent developmentsystem integrationsAPIstroubleshootingtechnical documentationgovernance frameworks

Soft Skills

communication skillstechnical advisorcustomer advocacycollaborationproblem-solvingcross-functional teamworkcustomer lifecycle managementbest practices developmenttechnical check-inshealth reviews