Staff Product Manager – Integration Security & AI Gateway

About the role

This role is an IC4 on the IAM team within Platform Security, based in Santa Clara.

Responsibilities

• 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.

Qualifications

• 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-technical executives.

Preferred Experience

• With zero-trust security models, service mesh security, or API gateway architectures.
• Familiarity with compliance frameworks (NIST, SOC 2, ISO 27001, FedRAMP) and how they shape enterprise security product design.
• Hands-on experience with ServiceNow platform, Integration Hub, or MID Server architecture.
• Prior PM experience on developer-facing products or platform API products in a SaaS or cloud-native environment.
• Experience building or governing AI agent workflows, including tool-calling security, prompt injection defenses, or agentic access control.
• Familiarity with hyperscaler AI platforms (AWS Bedrock, GCP Vertex AI, Azure OpenAI) and their integration security patterns.

Why This Role

You'll own products at the security frontier — the exact intersection of enterprise integration, identity, and agentic AI that every major enterprise is navigating right now. Your work will govern billions of machine-to-machine interactions across thousands of enterprise deployments. You'll have direct influence on ServiceNow's agentic AI strategy — AI Gateway and AI Control Tower are among the highest-priority investments on the platform roadmap. You'll join an IAM team that operates with the discipline of a security team and the pace of a product team — mission-driven, technically deep, and globally influential.