Vice President, Product Management - Agentic AI Security

About the role

We are looking for a resilient product leader who can align teams in a shared mission and turn complexity into execution while driving a company-level NVIDIA initiative at the intersection of agentic AI, cybersecurity, and AI safety.

Responsibilities

• Define the Product Strategy
• Turn emerging AI security risks, customer needs, and research breakthroughs into a focused roadmap for agentic AI security platforms.
• Lead Cross-Functional Execution
• Align research, engineering, security, data, evaluation, runtime, trust and safety, legal, policy, and go-to-market teams around a clear plan.
• Build Evaluation and Safety Platforms
• Drive open evaluation harnesses, model and agent safety workflows, disclosure processes, and trusted reporting systems.
• Advance Secure Agent Runtime Architecture
• Shape product direction for secure runtimes, enforcement layers, BlueField, OpenShell, NeMo Security, and related platform capabilities.
• Develop Defensive Agent Systems
• Lead product thinking for defender swarms, ThreatOps workflows, cybersecurity expert agents, and enterprise-ready security automation.
• Partner Across the Ecosystem
• Work with strategic partners, including hyperscalers, security vendors, AI labs, and enterprise customers, to validate use cases and bring solutions to market.
• Drive Narrative and Market Readiness
• Partner with developer relations, product marketing, communications, government affairs, and legal teams to shape the external story and support adoption.

Requirements

• 20+ overall years in product management, cybersecurity, AI platforms, enterprise infrastructure, or equivalent technical leadership roles.
• 10+ years leading complex cross-functional initiatives with executive visibility and influence across research, engineering, security, product, and go-to-market teams.
• Deep Cybersecurity Judgment: Expertise across vulnerability discovery, exploit chains, infrastructure-as-code, enterprise security operations, security automation, and incident response.
• Strong AI Product Instincts: Familiarity with model evaluation, agent harnesses, secure runtimes, AI safety, and the limits of legacy detection-first security.
• Strategic Execution: Ability to translate technical ideas into an executable product roadmap, architecture direction, partner plan, and measurable outcomes.
• Credibility with exceptional researchers, engineers, security operators, and executive partners.
• Outstanding Communicator: Able to ask sharp technical questions and explain complex topics clearly to both technical and non-technical audiences.
• Academic Foundation: BS or equivalent experience required; advanced degree or equivalent experience preferred.

Qualifications

• Track record building or leading products in cybersecurity, AI safety, agentic AI, cloud security, infrastructure security, or enterprise security operations.
• Experience with AI agents, model evaluation frameworks, cyber ranges, digital twins, simulation environments, or autonomous defense systems.
• Deep understanding of GPU-accelerated computing, AI software platforms, secure infrastructure, or enterprise-scale AI deployment.
• Strong ecosystem experience with security companies, hyperscalers, AI labs, government partners, or critical infrastructure operators.
• Entrepreneurial attitude that thrives on building new product categories in ambiguous, high-urgency environments.

Skills

• Product Management
• Cybersecurity
• AI Platforms
• Enterprise Infrastructure

Benefits

• Competitive salaries
• Comprehensive benefits package

Pay

Base salary range: 480,000 USD - 690,000 USD.

Schedule

Full-time