Sr Product Manager

As a Sr Product Manager, AI Security, you will own the vision, strategy, and execution of AI-native security capabilities while acting as a bridge between technical teams, customers, and market stakeholders. You will translate emerging threats and customer needs into scalable product solutions that strengthen security outcomes.

• Define and manage the product strategy, roadmap, priorities, and success metrics for AI security capabilities.


• Act as a subject matter expert on AI security threats, agentic AI risks, and emerging attack patterns, incorporating research and industry insights into product decisions.


• Partner with engineering and security teams to define requirements for securing AI agents, MCP servers, orchestration frameworks, and AI-powered workflows.


• Maintain a deep understanding of AI ecosystems, including LLM agents, tool-calling architectures, retrieval-augmented generation (RAG), and prompt injection risks.


• Develop frameworks for securing AI workloads and distinguishing AI-assisted processes from AI-executed workflows.


• Conduct customer research with security leaders, architects, and identity teams to identify market needs and validate product direction.


• Lead design partner initiatives by engaging early customers and incorporating feedback into roadmap decisions.


• Analyze competitive landscapes across cybersecurity, identity security, and AI security vendors to identify opportunities and differentiation.


• Coordinate AI-related product initiatives across multiple teams to ensure consistent architecture and customer experience.


• Represent the AI security vision through customer engagements, analyst discussions, industry events, and internal initiatives.


• Collaborate with Product Marketing and Solutions Engineering teams to support positioning, launches, and customer adoption.


• Support complex customer and pre-sales discussions by providing guidance on AI security architecture and product capabilities.

Requirements

The ideal candidate is a technically skilled product leader with strong cybersecurity experience and the ability to translate complex security challenges into impactful product strategies. You should be comfortable operating in fast-changing markets and collaborating with highly technical stakeholders.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.


• 5+ years of product management experience in cybersecurity, identity security, cloud security, or a closely related technology domain.


• Strong understanding of AI and machine learning architectures, including LLM agents, MCP servers, tool-calling, and RAG pipelines.


• Ability to analyze and synthesize security research, including vulnerabilities, threat intelligence reports, exploit chains, and industry research.


• Knowledge of identity security concepts such as PAM, IAM, secrets management, workload identity, and non-human identity lifecycle management.


• Familiarity with security risks related to service accounts, API keys, OAuth tokens, machine certificates, and agent session tokens.


• Proven ability to define product strategy in emerging technology markets with limited existing frameworks.


• Experience collaborating with engineering, security research, and threat intelligence teams in a technical product management capacity.


• Strong communication skills with the ability to engage CISOs, security architects, developers, and business stakeholders.


• Experience working with Agile and Scrum methodologies in fast-paced product environments.


• Strong curiosity and commitment to staying current with cybersecurity research, AI trends, and industry developments.


• Security certifications such as CISSP, CCSP, CEH, OSCP, or equivalent are a plus.


• Hands-on experience building or operating AI agents or agentic frameworks is preferred.


• Previous experience in cybersecurity product management, threat research, or security engineering is highly valued.


• Experience with identity security platforms or privileged access management solutions is beneficial.


• Familiarity with AI governance frameworks such as NIST AI RMF, EU AI Act, or related security standards is a plus.

Benefits

• Opportunity to work on cutting-edge AI security and cybersecurity technologies.


• Flexible work environment built around trust, collaboration, and continuous learning.


• Competitive compensation package.


• Opportunities for professional growth and career development.


• Inclusive culture that values diverse perspectives and backgrounds.


• Chance to collaborate with experienced security professionals, researchers, and technology leaders.


• Opportunity to influence the future of enterprise AI security solutions.