Responsibilities
- Design and implement machine learning and generative AI features including anomaly identification, alert context enhancement, and automated remediation recommendations.
- Shape product direction for artificial intelligence-powered functions such as web application penetration testing, threat intelligence integration, threat detection and response systems, MCP Server interoperability, and autonomous agent workflows.
- Work alongside offensive security specialists and data analysts to convert cybersecurity findings into deployable tools for threat detection, response automation, and attack simulation.
- Uncover strategic market openings to distinguish AI-powered security offerings across federal sectors and related industries, including the Defense Industrial Base.
- Collaborate with go-to-market teams and clients to expand and strengthen capabilities in risk-based vulnerability oversight, third-party supply chain risk, and continuous compliance frameworks such as CMMC, FedRAMP, NIST 800-53, and FISMA.
- Analyze input from customer interactions, technical support cases, and product usage metrics to enhance offensive and defensive security functionalities.
- Lead iterative development cycles aimed at improving the correctness, reliability, and usefulness of generated security data and insights.
- Track feature usage, customer adoption rates, and operational effectiveness to inform roadmap decisions and guide strategic planning for assigned domains.
Work Arrangement
Remote (Worldwide)
Team
Product Manager will partner closely with Engineering, GTM (Go-To-Market), and Executives. Reports to: Director of Federal Operations
