Principal Inbound Product Manager

**Please note, this role requires a minimum of 2 days per week in the Santa Clara, CA ServiceNow Offices – PLEASE DO NOT APPLY IF YOU CANNOT MEET THIS REQUIREMENT, Thank you** What you get to do in this role: Imagine leading the charge in next-generation AI interoperability and enterprise AI governance. In this role, you will define and deliver core capabilities within ServiceNow’s AI Control product—the platform that enables organizations to maintain security, privacy, monitoring, guardrails, and actionability across all AI usage. You will be responsible for driving the evolution of ServiceNow’s AI governance layer, ensuring enterprises can safely adopt and scale AI through: Strong security and privacy controls Real-time monitoring and observability of AI interactions Automated remediation and action workflows Guardrails that enforce safe, compliant, policy-aligned AI behavior Enterprise oversight across all AI agents, models, and integrations This role places you at the center of AI transformation, defining how secure and governed connectivity works across AI agents, enterprise systems, and external platforms—leveraging emerging interoperability standards like Model Context Protocol (MCP) and Agent-to-Agent (A2A) frameworks. You’ll partner closely with engineering, design, security, data governance, and AI/ML teams to deliver a unified platform experience where AI access governance, controls, and observability converge. You’ll also help shape industry standards by collaborating with leading partners and standards bodies. If you want to shape the future of enterprise AI governance—this is your opportunity. To be successful in this role, you have: AI & Agent Ecosystem Expertise 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.  Experience integrating AI into workflows, decision-making, or automation. Strong understanding of AI-specific security, privacy, and governance risks, including model misuse, prompt injection, data leakage, and unsafe outputs. Familiarity with MCP, A2A agent communication, agent lifecycle management, interoperability patterns, and orchestrated agent workflows.   Security, Privacy & Data Protections Deep background in data security, including encryption, data access policies, safe data routing, personal data protections, and privacy-by-design. Hands-on experience with designing AI access security controls, such as: Role- and policy-based restrictions on AI usage Guardrails and content safety filters Monitoring and logging of AI interactions Auditable decision trails and compliance reporting Understanding of frameworks such as NIST, SOC 2, ISO 27001, GDPR, and how they influence enterprise AI governance.   Product Execution & Leadership Proven product management experience (typically 9+ years) defining strategy, requirements, and roadmaps for complex enterprise or platform products. Ability to write user stories, work closely with engineering, prioritize at scale, and drive execution end-to-end. Experience collaborating with Security, Legal, AI/ML, Data Governance, Design, and Architecture teams. Strong ability to think from both developer and admin perspectives—translating needs into secure, intuitive, compliant product capabilities.   AI UX/UI & Platform Experience Experience shaping AI user experiences, including: Interfaces for managing guardrails and access controls AI monitoring dashboards and insights Admin and developer-facing experiences for governing agents and models Prior experience in SaaS, enterprise platform, or developer-oriented environments (no API-specific requirements). Communication & Stakeholder Collaboration Ability to communicate complex ideas clearly to technical and non-technical stake ... (truncated, view full listing at source)