Director, AI Security Product Manager
Core
Define and own the product vision, strategy, and roadmap for AI security capabilities across the enterprise, translating risks and regulatory expectations into actionable product requirements.
Role type
Director, AI Security Product Manager
Builds
Secure-by-design AI capabilities, controls for AI platforms/agents, model integrations, and governance workflows.
Domain
Financial services, AI/ML security, enterprise governance
Deliverable
production ML models | product features
Required skills
Product strategy and roadmap definition, AI/ML and GenAI concepts, AI security (prompt injection, model access, human-in-the-loop), engineering and architecture credibility, complex enterprise product delivery, product requirements documentation, stakeholder management, risk reduction prioritization, cross-functional leadership, regulatory and compliance alignment
Preferred skills
AI security, cloud security, identity and access management, application security, security architecture, enterprise AI platforms, AI governance processes, model risk frameworks, secure SDLC, regulated environment experience, audit/compliance stakeholder management, 0-to-1 security capability launch
Technologies
AI platforms, agents, model integrations, runtime guardrails, identity and authorization systems, logging and observability tools, third-party AI vendor platforms
Responsibilities
Define and own the product vision, strategy, and roadmap for AI security capabilities. Translate AI security risks and regulatory expectations into prioritized backlog items. Partner with cybersecurity, engineering, architecture, data, legal, risk, and governance teams. Drive product development for controls supporting AI platforms, agents, and model integrations. Shape requirements for AI application security, model access governance, prompt protection, and runtime guardrails. Develop business cases, success metrics, and adoption plans. Prioritize features based on risk reduction and enterprise value. Lead cross-functional execution from concept through scale. Establish feedback loops with users and platform teams. Track external market developments and regulatory changes. Communicate roadmap progress and risks to senior stakeholders. Convert risk themes into practical products and measurable outcomes. Launch governance-enabling product features to improve secure onboarding of AI use cases.
Seniority
Director, strategic leadership with hands-on technical credibility
