Wiz
Threat Detection Researcher (Windows/Linux/MacOS)
$200K–$250K
New York City +1 · Full-time · Posted Jul 7, 2026
- Location
- New York City
USA - New York City - Experience
- 6+ years in security or threat research, conducting deep research with actionable conclusions and impact.
- Visa sponsorship
- Applicants must have the legal right to work in the country where the position is based without visa sponsorship; the role does not offer visa sponsorship.
About the job
Develops threat detections and tools for the Wiz Runtime Sensor by researching cloud and AI attacks and turning findings into customer-facing product features and guidance.
What you'll do
- Develop detections and tools; investigate and hunt real-world attacks and emerging cloud and AI threats.
- Collaborate with R&D to translate research into product features and respond to customer inquiries about suspicious activity or potential incidents.
- Create security policies and best practices, and share research through blog posts and conference talks.
What they ask for
- Intimate knowledge of Windows/Linux/MacOS internals and networking.
- Familiarity with cloud services, Kubernetes, cloud architecture, and AWS, GCP, and Azure.
- Proficiency in Python for tool development and automation.
- Experience delivering security detections in customer-facing products; strong independent work, communication, and teamwork skills.
Nice to have
- Hands-on malware analysis, reverse engineering, or vulnerability research; threat actor or threat intelligence familiarity; IR, red-team, or threat-hunting experience.
- Experience using AI to enhance research and detection workflows, or knowledge of supply-chain, CI/CD, AI-infrastructure, or agentic-framework threats.
Pay
$200,000 — $250,000 USD (base salary)
Tools
Windows, Linux, MacOS, Python, Go, Rust, C/C++, Kubernetes
AI focus
Research malware and threats targeting AI workloads; preferred experience includes using AI to enhance research and detection workflows and knowledge of threats to AI infrastructure and agentic frameworks.
Model-written summary · the original posting is authoritative