Job Description

Help for Job Description. Opens a new window.

The application window is expected to close on: 10/30/2026

This is a US remote role

Meet the Team

The Attack Surface Management team is mission-critical to our security infrastructure. We aggregate, normalize, and correlate security data from over 120 sources to provide a unified view of our environment. Our team focuses on data ingestion, service uptime, and providing the actionable intelligence required to maintain our security posture. We are currently evolving our capabilities to incorporate AI-driven analysis to solve complex attribution challenges at scale.

Your Impact

In this role, you will become the Domain Expert for our data pipelines, moving us from reactive monitoring to proactive, data-driven security. You will own the data ingestion and attribution layer, ensuring that every asset and vulnerability is accurately traced to its owner, business unit, and criticality tier. This role is highly impactful, as it directly bridges the gap between raw, noisy security data and actionable findings, ultimately reducing our Mean Time to Remediation (MTTR). You will also have the opportunity to influence our transition toward AI-augmented data analysis and automated correlation.

Responsibilities

• Design, build, and maintain robust data pipelines that ingest and normalize security data from a diverse array of sources (e.g., asset inventory, vulnerability scanners, cloud providers, and identity systems).
  
• Operate and improve the attribution layer by implementing entity resolution and ownership assignment rules as version-controlled code.
  
• Establish data quality monitoring to detect anomalies, missing data, or correlation failures, ensuring high visibility before issues impact end-users.
  
• Develop automated correlation logic for complex infrastructure scenarios where conventional identification keys fail.
  
• Collaborate with analysts and leadership to provide query support, reporting, and executive metrics that drive security program decisions.