Product Lead responsible for the strategy and execution of CEA’s Opportunities Board. Focused on high - impact career opportunities and scaling the board's outreach.
About the role
- Sr. Product Manager focusing on AI security strategy and roadmap for BeyondTrust's Pathfinder platform. Collaborating with AI and cybersecurity teams to enhance the product offerings.
Responsibilities
- Own the product strategy, roadmap, and success metrics for BeyondTrust's AI security capabilities on Pathfinder platform
- Serve as BeyondTrust's internal AI security subject matter expert, synthesizing Phantom Labs threat research, competitive intelligence, and analyst coverage into product decisions
- Partner with the AI Coworker Security team to define, validate, and iterate on requirements for securing AI agents, MCP servers, and agentic orchestration frameworks
- Maintain deep understanding of the agentic AI ecosystem including MCP protocol, multi-agent orchestration frameworks, LLM tool-calling, and prompt injection attack chains
- Define and maintain BeyondTrust's framework for AI workload security distinguishing AI-assisted from AI-executed workflows
- Conduct primary market research with CISOs, security architects, and IAM engineers through win/loss analysis, customer advisory boards, and analyst briefings
- Drive BeyondTrust's design partner program for AI security capabilities, recruiting early customers and translating feedback into roadmap priorities
- Perform competitive analysis across CyberArk, Delinea, Astrix, Entro, Oasis, Wiz, and emerging NHI and agentic security vendors
- Coordinate AI-related product work across the BeyondTrust portfolio ensuring architectural consistency and eliminating duplication
- Represent BeyondTrust's AI security vision with industry analysts, customer advisory boards, and security industry events
- Work with Product Marketing and Solutions Engineering to develop positioning and launch plans for AI security capabilities
- Support pre-sales engagements and respond to complex technical questions related to AI security architecture
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
- 5+ years of proven product management experience in cybersecurity, identity security, cloud security, or closely related domain
- Demonstrated technical understanding of AI and ML systems architecture, including how LLM agents, MCP servers, tool-calling, and RAG pipelines work
- Proven ability to read and synthesize security research, including CVEs, exploit chains, threat intelligence reports, and security conference presentations
- Working knowledge of identity security disciplines: PAM, IAM, secrets management, workload identity, NHI lifecycle management
- Familiarity with the NHI threat surface, including service accounts, API keys, OAuth tokens, machine certificates, and agent session tokens
- Experience defining product strategy in a fast-moving market category with limited prior precedent
- Track record of collaborating with security research, engineering, and threat intelligence teams in a technical PM capacity
- Excellent written and verbal communication able to engage CISOs, security architects, and developers at appropriate levels
- Experience with Agile and Scrum methodologies and delivering results in a fast-paced environment
- Deep intellectual curiosity and habit of reading threat research and analyst reports
Benefits
- Flexibility
- Trust
- Continual learning
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