Threat Detection Researcher (Windows/Linux/MacOS)
Wiz · New York City
- Location
- New York City
- Level
- Mid level
- Posted
- 7 July
About this role
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation.
Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun!
Minimum qualifications:
6+ years of experience in security or threat research in which you conducted deep research with actionable conclusions and impacts.
Intimate knowledge of OS internals (Windows/Linux/MacOS) and networking.
Familiarity with cloud services, Kubernetes, cloud environment architecture, and the major cloud providers (AWS, GCP, Azure).
Proficiency in Python for tool development and automation (knowledge of Go, Rust, or C/C++ - an advantage).
Experience delivering security detections in customer-facing product(s).
The ability to learn independently, to be self-driven and goal-oriented.
Excellent communication and teamwork skills.
Preferred qualifications:
Hands-on experience with malware analysis/reverse engineering/vulnerability research.
Familiarity with notable threat actors and threat intelligence analysis.
IR/red-team/threat-hunting experience.
Experience leveraging AI to supercharge research and detection workflows.
Deep knowledge of modern threat classes (Supply Chain, CI/CD, or threats targeting AI infrastructure and agentic frameworks).
About the job:
We’re looking for a top-notch Threat Detection Researcher join our team and spread the power of Wiz. In this role, you will further develop the Wiz Runtime Sensor as part of our threat research team.
Responsibilities:
Develop detections and tools to protect customers from cloud threats.
Investigate attacks on cloud environments and malware targeting cloud and AI workloads.
Hunt and analyze real-world attacks and emerging cloud and AI threats.
Collaborate closely with the R&D team to transform research insights into product features.
Work with customers in response to requests related to suspicious activity or potential incidents.
Create best practices and security policies based on research findings.
Deliver external-facing content (blog posts and talks at security conferences) based on security insights and novel research.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.
Compensation + Benefits
Compensation for this full-time position includes base salary + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is listed below.
US Base Pay Range$200,000-$250,000 USD
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
As published by Wiz. Applications are handled on their site.
Skills this posting mentions
About Wiz
Organizations of all sizes and industries use Wiz to rapidly identify and remove the most critical risks in AWS, Azure, GCP, and Kubernetes so they can build faster and more securely.
All 122 openings at WizOne click, then it is written
Apply to Wiz with a resume written for this role.
Queue Threat Detection Researcher (Windows/Linux/MacOS) and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Wiz’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.
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