Vice President, Product Management - Agentic AI Security

NVIDIA•Santa Clara, CA

1d•$480,000 - $690,000

About The Position

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. This role is ideal for someone who can turn a fast paced research and threat landscape into a clear product strategy, credible technical roadmap, and partner-ready platform plan. As autonomous agents reshape software, infrastructure, and security operations, this is a once-in-a-generation opportunity to define how enterprises defend, evaluate, and safely deploy AI agents at scale. This leader will guide NVIDIA's roadmap for security in the age of autonomous agents, including open evaluation harnesses, defensive agent swarms, secure agent runtimes, enterprise digital twins, and platforms built on NVIDIA's AI and accelerated computing stack, working across research, engineering, security, policy, legal, and go-to-market teams, while partnering deeply with leading security companies, hyperscalers, AI labs, government partners, and critical infrastructure operators.

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.
BS or equivalent experience required; advanced degree or equivalent experience preferred.

Nice To Haves

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.

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.