Senior Staff Inbound Product Manager - AI Interoperability, Governance & Secure Agent Experiences

ServiceNow•Santa Clara, CA

45d

About The Position

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.

Requirements

AI & Agent Ecosystem Expertise
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 stakeholders.
Strong customer empathy and curiosity-able to deeply understand problems and translate them into actionable product direction.
Excellent prioritization discipline, focusing on high-impact outcomes in fast-moving AI environments.