Sr Product Manager

Accountabilities

• Owes the vision, strategy, and execution of AI-native security capabilities.
• Acts as a bridge between technical teams, customers, and market stakeholders.
• Translates emerging threats and customer needs into scalable product solutions.
• Defines and manages the product strategy, roadmap, priorities, and success metrics for AI security capabilities.
• Partners with engineering and security teams to define requirements for securing AI agents, MCP servers, orchestration frameworks, and AI-powered workflows.
• Maintains a deep understanding of AI ecosystems, including LLM agents, tool-calling architectures, retrieval-augmented generation (RAG), and prompt injection risks.
• Develops frameworks for securing AI workloads and distinguishing AI-assisted processes from AI-executed workflows.
• Conducts customer research with security leaders, architects, and identity teams to identify market needs and validate product direction.
• Leads design partner initiatives by engaging early customers and incorporating feedback into roadmap decisions.
• Analyzes competitive landscapes across cybersecurity, identity security, and AI security vendors to identify opportunities and differentiation.
• Collaborates with Product Marketing and Solutions Engineering teams to support positioning, launches, and customer adoption.
• Supports complex customer and pre-sales discussions by providing guidance on AI security architecture and product capabilities.

Requirements

• Technically skilled product leader with strong cybersecurity experience.
• Able to translate complex security challenges into impactful product strategies.
• 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.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!

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