Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Strong fit if you ship production AI platforms at scale and care about security-critical reliability. Weaker fit if you want pure research or pure app features without platform ownership. No Glassdoor/Indeed ratings in DATA.
As a Senior Staff AI Platform Engineer at SentinelOne, expect deep work on shared AI/ML platform services that feed endpoint, IoT, and cloud detection products—platform APIs, model serving/orchestration, data pipelines, reliability, and enablement for product teams shipping security features. Senior Staff scope usually means multi-team design, technical standards, and production ownership rather than single-feature coding alone.
Cybersecurity software using machine learning and heuristics to protect endpoints, IoT, and cloud workloads.
Listing marks remote as no; location is United States without a city pin.
Software Developers resources in CERTS: freeCodeCamp and Saylor (free); CS50 and Microsoft Learn (free to learn).
Website: sentinelone.com
SentinelOne, Inc. is an American cybersecurity company listed on NYSE based in Mountain View, California. The company was founded in 2013 by Tomer Weingarten, Almog Cohen and Ehud ("Udi") Shamir. Weingarten acts as the company's CEO. The company has approximately 2,800 employees and offices in Mountain View, Boston, Prague, Tokyo, and Tel Aviv. The company uses machine learning for monitoring personal computers, IoT devices, and cloud workloads. The company's platform utilizes a heuristic model, specifically its patented behavioral AI. The company is AV-TEST certified.
Public cache only — not an employee review.
Senior Staff AI Platform Engineer at SentinelOne - United States About the Role We are seeking a Senior Staff AI Platform Engineer to join our team and contribute to the development of SentinelOne's enterprise AI platform. This role requires hands-on experience in building, maintaining, and scaling complex AI systems that support various security operations. Your Responsibilities Design and implement scalable and robust AI solutions for endpoint, cloud, identity, data, and AI systems. Collaborate with cross-functional teams to integrate AI technologies into existing platforms and workflows. Develop and maintain high-performance machine learning models that enhance security operations. Conduct performance analysis and optimize algorithms for better accuracy and efficiency. Ensure compliance with industry standards and best practices in AI development and deployment. What We're Looking For A minimum of 8 years of experience in AI platform engineering, machine learning, or related fields. Demonstrated expertise in building scalable AI systems using Python, TensorFlow, PyTorch, and other relevant frameworks. Strong understanding of data science principles, including statistical analysis, model validation, and feature selection. Experience with cloud platforms such as AWS, GCP, or Azure for deploying and managing AI models. A passion for innovation and a commitment to continuous learning in the field of AI. About SentinelOne SentinelOne is at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. How to Apply If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, we invite you to apply. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-08-08 UTC · getajob.ai