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Product Manager, AI Security
Not specifiedFull-timeProduct ManagementCybersecurity
Own product capabilities that help organizations discover, govern, and protect AI systems. Partner with customers, research, engineering, and go-to-market teams to translate emerging security risks into useful products.
Responsibilities
- Own strategy, definition, and delivery of AI security capabilities from discovery through design, development, rollout, and adoption.
- Translate emerging AI risks into clear product requirements and priorities.
- Work with customers and strategic accounts to understand AI governance needs and represent the product in technical discussions.
- Partner with research and engineering teams to build accurate, low-noise detections, classifications, and controls.
- Define success metrics and use product data to guide decisions and measure impact.
- Coordinate launches, positioning, and enablement with product marketing, customer success, and sales.
Requirements
- At least 3 years of product management experience on technical B2B products; cybersecurity experience is preferred.
- Practical understanding of modern AI systems, such as LLMs, agents, MCP, AI coding tools, or AI/ML platforms, including how they are built, deployed, and used in organizations.
- Experience with cloud infrastructure such as AWS, Azure, or GCP, or with AI observability and governance.
- Strong analytical skills and a data-informed approach to product decisions.
- Excellent written and spoken English, including the ability to explain complex technical concepts clearly.
Nice to have
- Background in software engineering, data engineering, security research, or another technical field.
- Experience with security teams, SOCs, or enterprise security workflows.
- Familiarity with AI security frameworks and risks, including OWASP guidance, prompt injection, and AI artifact supply-chain risks.
- Experience developing products in an emerging category.