Vice President, Product Management – Agentic AI Security

🔥 17 hours ago

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🏖️ Benefits

• Competitive salaries • Comprehensive benefits package • Equity options

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