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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and mentoring AI Security Product Managers while establishing technical standards and managing product execution. Proficient in aligning cross-functional teams to deliver advanced AI security solutions and develop effective monetization strategies.
Highest-signal resume keywords
AI Security Product ManagementPeople ManagementAI/ML Platforms ExperienceCybersecurity ExpertiseProduct Pricing Strategy
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product ManagementAI GuardrailsModel Context Protocol (MCP)Workload Identity GovernanceAPI Gateway SecurityReal-Time Guardrail ArchitecturesLLM Red-TeamingTechnical Sales EnablementSoftware Pricing StrategiesEnterprise Cybersecurity
Soft Skills
MentoringLeadershipCustomer EmpathyCollaborationStrategic Thinking
Tools & Technologies
AI GatewayMCP GatewayAgentic Identity Management
Certifications & Qualifications
BS in Computer ScienceMS in Computer EngineeringMBA (Strong Plus)
Industry Keywords
Enterprise CybersecurityCloud SecurityDeveloper PlatformsAI SecurityTechnical Rigor
Tech Stack
Tools & technologiesCloudCyber Security
About the role
Key responsibilities & impact- Lead, mentor, and grow a team of specialized AI Security Product Managers
- Establish standards for technical rigor, product execution, and customer empathy
- Manage resource allocation, roadmap prioritization, and career development for the PM team
- Own strategic, high-complexity product areas, including integration roadmaps with top-tier model providers and design partners
- Translate market requirements into a multi-year product vision
- Align engineering, data science, and developer relations to deliver AI Gateway, MCP Gateway, and Agentic Identity management solutions
- Track emerging LLM vulnerabilities, agentic workflows, and security frameworks
- Develop monetization strategies, enterprise pricing tiers, and licensing models
- Build sales collateral, training, and technical content for direct sales and partner channels
- Advise enterprise CISOs, design partners, and chief architects on secure AI deployment patterns
Requirements
What you’ll need- 3+ years of direct people management experience
- Proven track record of recruiting, mentoring, and retaining high-performing technical Product Managers
- 10+ years of product management experience in enterprise cybersecurity, cloud security, or developer platforms
- At least 2+ years dedicated to AI/ML platforms or AI security
- Strong familiarity with AI guardrails, autonomous red teaming, Model Context Protocol (MCP) specification, AI Gateway architectures, and secure agentic platform development
- Strong grasp of Workload Identity, Non-Human Identity (NHI) governance, real-time guardrail architectures, LLM red-teaming/evaluations, and API gateway security
- Demonstrated experience designing software pricing strategies, launching new products to market, and leading technical sales enablement programs
- BS or MS in Computer Science, Computer Engineering, or an equivalent technical field
- MBA or equivalent business experience is a strong plus
Benefits
Comp & perks- Incentive compensation
- Bonus
- Restricted stock units
- Benefits package
- Reasonable accommodations for candidates