Senior Sales Engineer - AI Security Solutions

Proofpoint•New York, MA

About The Position

The Senior Sales Engineer (SE) – AI Security Solutions is a customer-facing technical expert responsible for driving adoption of Proofpoint’s AI-driven security portfolio. As a member of the AI Security solutions team, the role partners closely with Sales, Product, and Customer Success to explain the value of Proofpoint’s AI Security solutions. The ideal candidate combines cybersecurity expertise with an understanding of AI in the agentic workspace and can translate complex technical concepts into business value. Proofpoint’s AI Security solutions help organizations discover, monitor, and govern AI usage across human interactions, AI agents, and integrated systems, using intent-based security, runtime policy enforcement, and auditability. The position includes customer engagement and cross-functional collaboration, and travel is required.

Requirements

5+ years of experience in Sales Engineering, Solutions Engineering, or similar technical pre-sales roles.
Strong background in cybersecurity.
Experience discussing AI/ML concepts, AI risk, or emerging AI security challenges.
Proven ability to deliver compelling technical presentations and product demonstrations.
Strong consultative skills and ability to map technology to business outcomes.
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.
AI security domain expertise.
Technical storytelling and value articulation.
Solution architecture and systems thinking.
Customer-facing communication.
Analytical and problem-solving skills.

Responsibilities

Build credibility with security, AI/ML, and IT stakeholders, including CISOs, security architects, and data leaders.
Lead technical workshops on AI risk, governance, and secure adoption strategies.
Support proof-of-value (POV) and proof-of-concept (POC) engagements focused on real-world AI use cases.
Provide best practices for integrating AI security into existing security and data protection architectures.
Partner with Product Management to provide field feedback on AI Security capabilities and roadmap.
Collaborate with Marketing to develop thought leadership on AI security, agentic risk, and governance.
Work with Customer Success to ensure successful onboarding and expansion of AI Security deployments.