Sr. Director Of AI Engineering

Details

At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats.

From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact.

Responsibilities

• Define and execute the technical roadmap for AI engineering, focusing on bringing the most recent advances in machine learning technology to help 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 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 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 and 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

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range: $217,500—$326,000 USD

SentinelOne participates in the E-Verify Program for all U.S. based roles. SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer.