Principal Engineer, AI Security Governance | Endpoint Security Engineering

ServiceNow•Kirkland, WA

About The Position

The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact. This position reports to the Director, Endpoint Security Engineering (ESE) and anchors the AI Security Governance Program — a board-visible, auditor-facing program spanning five control pillars (AI visibility & inventory, prompt & response protection, agent architecture & control, shadow AI & access control, and compliance & audit) and the enterprise AI risks reported to the Audit Committee. The team builds state-of-the-art controls that reduce risk to the company’s most sensitive AI-connected assets with the least possible impact on operations, and shifts the perception of security from blocker to enabler.

Requirements

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
15+ years of relevant experience in security and software engineering, including hands-on technical leadership, or similar experience with education
Deep, current expertise in AI security — LLM and generative-AI threats, agentic-AI risk, prompt and response protection, AI/ML supply chain, and AI governance frameworks
Strong architecture and engineering skills across cloud and SaaS environments, and the ability to build and operate controls directly, not only design them
Experience with data security tooling (DSPM/AISPM, DLP, CASB) and identity/entitlement controls
A track record of translating complex technical risk into executive-, board-, and auditor-ready narratives
Strong problem-solving across security and software engineering, and the ability to apply data for diagnostics and to make the case for new solutions
Working knowledge of compliance and regulatory standards, and experience in Agile practices
Ability to build trusted relationships with security and engineering teams across the company
You must be eligible for adjudication to access our US regulated market environments. Permanent residency or citizenship is required.

Responsibilities

Own the vision, strategy, and roadmap for the AI Security Governance Program across all five control pillars
Architect controls across both the enterprise-AI and platform-AI tracks, keeping the two governance paths distinct and defensible
Deploy, configure, and mature security controls hands-on — including AI detection and response, data security posture management (DSPM/AISPM), and data-path controls for unmanaged access
Drive the shift from manual security operations to AI-automated workflows, building automation into every control rather than staffing around it
Close the highest-severity gaps in AI data protection, agent permissions, and shadow AI
Author and sustain the risk narrative and technical materials for CISO, board, and Audit Committee audiences to a standard of precision that never overclaims
Provide technical leadership and mentorship to engineers and cross-functional partners, and bring data to every decision