Staff Product Manager, AI Security

The role

You will define and execute the product vision and roadmap to secure agentic AI capabilities, autonomous workflows, and generative AI integrations. You will build defense mechanisms for native agentic capabilities and external integrations across the Box platform.

What you will do

• Define and execute product strategy, technical vision, and roadmap for AI Security and Agentic Guardrails.
• Build agent guardrail frameworks and policy engines to monitor and constrain autonomous agent behaviors.
• Secure agentic connectivity powered by Model Context Protocol and third-party AI APIs.
• Architect multi-layered defenses against advanced AI threats like prompt injection and jailbreaking.
• Partner with Engineering, Applied AI/ML Research, Security Architecture, and UX Design.
• Drive business and security efficacy metrics including guardrail evaluation accuracy and revenue growth.
• Collaborate with Product Marketing, Sales, Customer Success, and Compliance on GTM strategy.
• Engage with enterprise customers, AI security working groups, and industry analysts.

Required qualifications

• 8+ years of product management experience building and scaling enterprise B2B SaaS security products, cybersecurity platforms, cloud security solutions, or AI/ML infrastructure platforms.
• Deep domain expertise in AI/ML security, LLM application security, prompt injection defense, agentic guardrail frameworks, or model alignment and safety systems.
• Proven track record developing product strategies around agentic architectures, multi-agent coordination, tool-use and function-calling security, or model integration protocols such as Model Context P
• Strong understanding of emerging threat vectors targeting autonomous AI systems.
• Technical acumen to partner with AI/ML research and engineering leaders on vector embeddings, semantic evaluation models, LLM latency trade-offs, API gateway security, and zero-trust data access contr
• Exceptional analytical capability to define guardrail telemetry and track threat mitigation efficacy.
• Proven executive presence to influence C-level security leaders and align cross-functional stakeholders.

Nice to have

• Experience working with frontier AI/LLM models, prompt evaluation frameworks, red-teaming AI systems, or developing real-time guardrail runtime libraries.
• Hands-on familiarity with MCP (Model Context Protocol), agent orchestration frameworks, or semantic router architectures.
• Familiarity with enterprise compliance standards, zero-trust architectures, data loss prevention (DLP), or AI governance frameworks.
• Technical background with a Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Engineering, or equivalent practical experience.

Benefits

• Equity
• Benefits

About the company

Box is the leader in Intelligent Content Management. The platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI.