Senior Staff Inbound Product Manager | Security

Senior Staff Inbound Product Manager | Security

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

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.

Qualifications

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 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.

For positions in this location, we offer a base pay of $187,600 - $328,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.