Staff Threat Researcher - Remote AI-Driven Security

Zscaler; Atlanta (GA); Remote; USD 123,000 - 175,000; Full time

Benefits offered by this job

Time off plans

Parental leave

Retirement options

In-office perks, and more!

Job summary

Zscaler is seeking a Staff Threat Researcher to work remotely. You will be a technical SME on adversary tradecraft across endpoints, cloud, and identity, translating deep research into practical detections and automated tooling to strengthen customers' defenses.

You’ll collaborate across teams to shape detection methodologies, mentor peers, and influence product strategy while tackling evolving evasion tactics.

Qualifications

• Foundational understanding of AI/ML and applying AI-driven solutions to security outcomes.
• Experience with commercial Endpoint Detection & Response (EDR) and cloud-based detection.
• Software development in scripting and at least one compiled language.
• Security experience in at least one cloud service provider and cloud architectures.
• Public engagement (conference talks, blogs, webinars) documented.

Responsibilities

• Scope and refine research initiatives across Windows/macOS/Linux and major Cloud/SaaS providers.
• Analyze threats to understand how adversaries operate and detect variations of techniques.
• Engineer automated attack code and write test code to validate threat coverage.
• Collaborate with detection engineers, analysts, and threat hunters to prioritize deliverables.
• Document findings and mentor colleagues pursuing research.

Skills

AI/ML fundamentals

EDR & cloud detection

Scripting (PowerShell, Python)

Compiled languages (C/C++, Go)

Cloud provider experience (AWS, GCP,--

Public engagement

Git/GitHub

Tools

GitHub

Job description

Zscaler is seeking a Staff Threat Researcher to work remotely. You will be a technical SME on adversary tradecraft across endpoints, cloud, and identity, translating deep research into practical detections and automated tooling to strengthen customers' defenses.

You’ll collaborate across teams to shape detection methodologies, mentor peers, and influence product strategy while tackling evolving evasion tactics.