Senior Director, AI Engineering

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SentinelOne

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Cybersecurity • Artificial Intelligence • SaaS

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

1001 - 5000 employees

Founded 2013

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Define and execute the technical roadmap for AI engineering, focusing on bringing the most recent advances in machine learning technology to help our customers efficiently discover and defeat threats • Lead and mentor multiple globally-distributed AI engineering teams, fostering a culture of technical excellence and continuous innovation • Design and build net new AI capabilities that will be used across SentinelOne’s industry-leading platform • Drive cross-functional collaboration across multiple engineering teams to ensure seamless integration and innovation in AI-powered cybersecurity products • Oversee the establishment of best practices for MLOps, security, and performance monitoring to ensure the reliability and efficacy of our AI defense mechanisms

🎯 Requirements

• 10+ years of progressive experience in software or machine learning engineering, with at least 4 years in a senior leadership role managing multiple AI/ML teams • Proven track record of delivering multiple high-scale, production-ready AI or data products from concept through deployment and maintenance • Deep expertise in building highly available, low-latency machine learning systems, including experience with Machine Learning workflows and processes • Experience in endpoint security or OS concepts or a related field with comparable large-scale event processing and real-time processing challenges • Demonstrated ability to hire, develop, and retain top-tier AI engineering talent • Expert-level knowledge of cloud-native MLOps platforms (e.g., Kubeflow) and large-scale data processing technologies, including hands-on familiarity with Docker, Kubernetes, and operating in cloud environments, especially AWS and Google Cloud

🏖️ Benefits

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA • Unlimited PTO • Industry-leading gender-neutral parental leave • Paid company holidays • Paid sick time • Employee stock purchase program • Disability and life insurance • Employee assistance program • Gym membership reimbursement • Cell phone reimbursement • Numerous company-sponsored events including regular happy hours and team-building events