
Compensation
$145,000–$200,000/year
Job Description
A World-Changing Company
Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.
The Role
As an Insider Threat Detection Engineer, you are responsible for protecting Palantir's people, data, and most sensitive assets across the globe. Your technical expertise is matched by your integrity and genuine passion for security. You work well on a team, are highly motivated, and thrive on solving problems and taking on new challenges.
Your team serves as a critical line of defense, responsible for the 24/7 prevention, detection, and investigation of security events and active threats across Palantir's environment. This role focuses on all aspects of Detection and Response with a strong emphasis on identifying and mitigating insider risks. Your work will directly impact the success of Palantir's mission by making it difficult for adversaries — both external and internal — to compromise our global network.
Your team serves as a critical line of defense, responsible for the 24/7 prevention, detection, and investigation of security events and active threats across Palantir's environment. This role focuses on all aspects of Detection and Response with a strong emphasis on identifying and mitigating insider risks. Your work will directly impact the success of Palantir's mission by making it difficult for adversaries — both external and internal — to compromise our global network.
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Job Details
- Category
- Security
- Employment Type
- Full Time
- Location
- New York, NY (Hybrid)
- Posted
- Compensation
- $145,000 - $200,000 per year
About Palantir Technologies
Palantir Technologies builds software platforms for data integration and analytics used by defense, intelligence, and commercial organizations worldwide. Their platforms Gotham (government) and Foundry (commercial) enable complex data-driven decision making at scale.
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