Staff Product Manager - Integration Security & AI Gateway

About the role

ServiceNow is seeking a Staff Product Manager to own Integration Security and AI Gateway Security - two of the highest-leverage areas in our platform's security foundation. This is an IC4 role on the IAM team within Platform Security, based in Santa Clara. As enterprises shift to agentic AI workflows, the products you own become the security backbone for every machine-to-machine interaction: governing how ServiceNow integrates with external systems, how AI agents authenticate and call tools, and how platform teams enforce access control at scale. Your work will directly shape the security posture of thousands of enterprises globally. Your Product Portfolio Integration Security You will own the security layer that governs how ServiceNow connects to the outside world. This spans the protocols, credential frameworks, and trust mechanisms that secure every outbound API call, web service integration, and machine-to-machine interaction - from MCP(Model Context Protocol), REST and SOAP-based integrations to OAuth flows, and mTLS. These capabilities underpin thousands of enterprise integration pipelines running on the ServiceNow platform today. AI Gateway Security AI Gateway is ServiceNow's enterprise control plane for agentic AI - the governed, in-path intermediary between AI agents and the tools, APIs, and systems they call. As enterprises build distributed AI workflows spanning ServiceNow and external platforms (Copilot Studio, AWS Bedrock, GCP Vertex AI), AI Gateway ensures every agent interaction is authenticated, authorized, observable, and compliant. You will govern the full lifecycle of MCP (Model Context Protocol) server connections - from onboarding and risk classification to runtime access control and credential mediation - using OAuth 2.1 as the security backbone. You'll build the capabilities that platform teams, security teams, and AI stewards rely on to approve agent access, enforce tool-level policies, and audit every interaction at scale. AI Gateway is deeply integrated with AI Control Tower and AI Agent Studio, and is positioned as the foundational security and governance layer for ServiceNow's enterprise agentic ecosystem. What you get to do in this role: Define and drive the roadmap for Integration Security and AI Gateway Security, balancing near-term customer needs with the long-term agentic AI platform vision. Own the security architecture for MCP server governance - onboarding, risk classification, access control, credential mediation, and audit - using OAuth 2.1 as the foundational trust protocol. Partner with engineering, design, and documentation teams to deliver secure, developer-friendly capabilities from concept to general availability. Engage directly with enterprise customers, security architects, and platform administrators to understand requirements and validate solutions. Translate complex security requirements - including compliance mandates and zero-trust principles - into clear, executable product requirements and user stories. Analyze customer telemetry, support trends, and security landscape shifts to make informed prioritization decisions. Drive cross-functional alignment across Platform Engineering, AI Studio, AI Control Tower, and Workflow Data Fabric to position integration security as a shared platform capability. Act as an accountable owner who drives outcomes regardless of organizational boundaries - proactively removing blockers and escalating risks early. Represent the product area in customer advisory sessions, community forums, security working groups, and executive briefings. Integrate market analysis, usability research, and developer feedback into product requirements to improve adoption and satisfaction. Required 8+ years of experience in integration security, API security, Identity & Access Management, or enterprise platform security - with hands-on involvement across multiple domains. Deep protocol expertise : practical knowledge of OAuth 2.0/2.1, mTLS, REST/SOAP web services, credential management, and outbound integration patterns in enterprise SaaS environments. AI and agentic AI fluency : experience working with or thinking critically about MCP, A2A, LLM orchestration, AI agent frameworks, or agentic security models - including how to authenticate, authorize, and audit AI-to-tool interactions at scale. Strong product execution : proven ability to write product requirements, author user stories, define acceptance criteria, and shepherd features from discovery through GA in an agile environment. Customer and developer orientation : ability to understand enterprise security admin and developer needs, translate them into product decisions, and build durable customer relationships. Cross-functional leadership : track record of driving alignment across engineering, design, QE, security, and legal without direct authority. Clear communication : skilled at conveying product strategy and security trade-offs to both technical implementers and non-t

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