Product Manager Vulnerability & Threat Intelligence (Global Security)
Core
Design and maintain real-time vulnerability data pipelines and lead the transition to Agentic AI-powered analytics for threat intelligence.
Role type
Senior data engineering and AI integration specialist (vulnerability intelligence)
Builds
Real-time vulnerability data ingestion pipelines, AI-driven analytics dashboards, and automated threat assessment workflows
Domain
Cybersecurity / Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Azure Databricks, Snowflake, Agentic AI, Prompt Engineering, LLM integration, ETL, API integration
Preferred skills
Vulnerability management processes, RAG systems, Banking/Financial Services domain knowledge, Qualys/Tenable/Rapid7 tools
Technologies
Azure Databricks, Snowflake, Python, SQL, Tableau, LLMs, RAG
Responsibilities
Develop Python automation for vulnerability data collection and report generation; Design and optimize AI prompts for threat analysis; Architect scalable data engineering infrastructure for real-time analytics; Partner with stakeholders to deliver customized vulnerability intelligence
Seniority
Senior, hands-on IC