Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company seeking a Vice President of Product Management focused on agentic AI security. The role involves defining product strategy, leading cross-functional teams, and partnering with various stakeholders to drive innovation in 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
Skills
- 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
- 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
Benefits
- Equity
- Benefits
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