Director, AI Security Product Manager

Salary: $30,000 - 55,000 per year Requirements: We require 10+ years of experience across product management, engineering, architecture, cybersecurity, enterprise technology, or a related discipline. We need prior hands-on experience in engineering and architecture, with the ability to engage credibly with technical teams and shape solution direction. We value experience working in or alongside cybersecurity, cloud, identity, developer platform, or governance functions. We expect a strong understanding of AI/ML and GenAI concepts, with the ability to translate technical and risk considerations into product strategy. We look for experience building product roadmaps and delivering complex enterprise products across multiple stakeholder groups. We need strong capability in writing product requirements and turning ambiguity into actionable execution plans. We seek familiarity with AI security concepts such as prompt injection and misuse risks, model and agent access controls, human-in-the-loop and approval patterns, logging, monitoring, traceability, and third-party model and vendor risk. We expect excellent communication and stakeholder management skills. We need the ability to operate effectively in a fast-moving, highly cross-functional environment. Preferred qualifications include experience in AI security, cloud security, identity and access management, application security, or security architecture. Preferred qualifications also include exposure to enterprise AI platforms, AI governance processes, or model risk and control frameworks. Familiarity with secure SDLC, platform security patterns, and policy or control implementation is preferred. Experience in regulated environments and with audit or compliance stakeholders is preferred. Demonstrated ability to launch 0-to-1 or early-stage enterprise security capabilities is preferred. Responsibilities: We define and own the product vision, strategy, and roadmap for AI security capabilities across the enterprise. We translate AI security risks, regulatory expectations, and control requirements into product requirements and prioritized backlog items. We partner with cybersecurity, engineering, architecture, data, legal, risk, and governance teams to deliver secure-by-design AI capabilities. We drive product development for controls supporting AI platforms, agents, model integrations, and related workflows. We use engineering and architecture experience to shape practical, scalable, and technically credible product requirements. We shape requirements for AI application and agent security, model access governance, prompt and data protection, AI activity logging and observability, policy enforcement and runtime guardrails, identity and authorization controls, least privilege controls, and third-party AI risk management. We develop business cases, success metrics, and adoption plans for new AI security capabilities. We prioritize features and investments based on risk reduction, enterprise value, technical feasibility, and adoption needs. We create clear product requirements, user stories, acceptance criteria, and rollout plans. We lead cross-functional execution from concept through pilot, launch, and scale. We establish feedback loops with users, security teams, and platform teams to continuously improve product effectiveness. We track external market developments, regulatory changes, and emerging threats relevant to AI security. We communicate roadmap progress, decisions, dependencies, and risks to senior stakeholders in a concise, decision-ready manner. We bring clarity to a fast-evolving AI security landscape. We balance speed, usability, and control effectiveness. We influence across organizational boundaries without relying solely on formal authority. We convert risk themes into practical products and measurable outcomes. We apply engineering and architecture experience to ensure product direction is implementable, scalable, and aligned to enterprise realities. We drive execution with discipline while keeping long-term platform strategy in view. We launch governance-enabling product features that improve secure onboarding of AI use cases. We improve visibility into AI usage, data flows, and security-relevant activity. We reduce risk from overprivileged agents, unmanaged integrations, or weak authorization models. We introduce scalable control patterns for AI applications and services. We support enterprise adoption of AI by making security requirements more usable, measurable, and operationally efficient. Technologies: AI Cloud Support Product Manager Security More: We are BNY, a leading global financial services company at the heart of the worlds financial system, influencing nearly 20% of global investible assets. We are seeking an AI Security Product Manager to help us define and deliver secure, scalable AI adoption across the enterprise. This role is based in Pittsburgh, PA or Lake Mary, FL. We offer highly competitive compensation, benefits, wellbeing programs, flexible global resources and tools, generous paid leave including paid volunteer time, and a strong culture focused on excellence, growth, and success. We are recognized for innovation and leadership, and we continue to combine advanced technology, AI, and strong teamwork to shape the future of finance. last updated 41 week of 2026