Product Manager - Cybersecurity

Research the exposure management landscape — CTEM, attack surface management, vulnerability prioritization — and where AI meaningfully changes it.

Run discovery with security practitioners, service providers, and enterprise security teams; define personas, problem statements, and priority use cases.

Assess adjacent platforms and categories to identify gaps, overlaps, and points of differentiation.

Validate assumptions through demonstrations, proofs of concept, and pilot engagements.

Contribute to positioning, packaging, and pricing.

Define the minimum viable offering and maintain an outcome-oriented, phased roadmap.

Prioritize on customer value, differentiation, technical feasibility, and commercial potential.

Identify where AI and agentic AI improve exposure discovery, risk prioritization, investigation, and remediation guidance — and where they do not.

Translate objectives into requirements, user journeys, user stories, and acceptance criteria; partner with engineering, architecture, design, and QA through delivery.

Define success measures across adoption, security outcomes, analyst productivity, and commercial viability.