ServiceNow
Senior Director, Product Unified Security and Exposure Management
$254K–$445K
Santa Clara, CALIFORNIA, United States · Hybrid · Director · Full-time · Posted Oct 1, 2026
- Experience
- 12+ years of product management, engineering, or relevant industry experience in high tech, enterprise software, or cybersecurity.
About the job
Leads product strategy and teams developing AI-native Unified Security and Exposure Management products that help enterprise security organizations assess, prioritize, and remediate cyber risk.
What you'll do
- Set the USEM product vision and roadmap, leading product managers through product ideation, design, and development.
- Collaborate with enterprise customers, CISOs, architects, engineering leaders, and product teams to deliver reliable, secure, scalable security products.
- Define success metrics and communicate product plans, progress, and outcomes across cross-functional teams.
What they ask for
- Experience integrating or critically evaluating AI for work processes, decisions, or problem-solving, with understanding of reliability, governance, and data grounding in mission-critical workflows.
- Deep expertise in one or more of CTEM, cloud security, vulnerability management, or SIEM, and fluency in CISO organizations.
- Track record building and scaling enterprise-grade products for large enterprises, including products built on large-scale platforms using shared services.
- Excellent communication skills and ability to present complex technical information clearly.
Nice to have
- AI or agentic product experience in enterprise workflows at scale; experience with the ServiceNow Platform or a comparable large-scale enterprise platform.
- Experience leading a major platform transition, category-defining launch, or new-category creation in enterprise security software.
Pay
$254,500 - $445,400 USD base salary
Tools
CTEM, cloud security, vulnerability management, SIEM, ServiceNow Platform
AI focus
Lead development of AI-native, agentic security operations for enterprise workflows, emphasizing reliability, governance, explainability, and grounding in real data and systems.
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