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Sr. Manager, AI Software Engineering

SentinelOne
CompanySentinelOne
CategoryUncategorised
LocationUnited States - Remote
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted28 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company 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. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior Manager, AI Software Engineering, you will be tasked with managing and scaling AI Engineering teams responsible for delivering production-grade AI systems and customer-facing AI capabilities. Sitting within the P&T organization, you will play a key part in translating AI strategy into reliable, scalable software and platform outcomes. You will lead engineers working on AI-powered product capabilities, platform services, and supporting infrastructure while partnering closely with Product, Architecture, Security, Data, and other Engineering leaders to deliver high-impact AI initiatives with quality, speed, and operational rigor. What Will You Do? Primary responsibilities include: Lead and grow one or more AI Engineering teams focused on delivering production AI capabilities and platform services. Drive execution for strategic AI initiatives across the P&T organization, including customer-facing features, internal AI platform capabilities, and supporting engineering systems. Partner with Product Management and cross-functional engineering leaders to translate roadmap priorities into clear technical plans, delivery milestones, and team outcomes. Establish strong engineering management practices across planning, execution, quality, incident response, observability, and continuous improvement. Mentor engineering managers and senior individual contributors while building a culture of accountability, innovation, and operational excellence. Help define and enforce best practices for AI system development, MLOps, service reliability, security, and performance. Support architecture and design decisions for scalable, low-latency, highly available AI systems and services. Recruit, develop, and retain top engineering talent across AI, software, and platform domains. Improve collaboration across globally distributed teams and ensure effective delivery across organizational boundaries. Contribute to organization design, capacity planning, and quarterly and annual planning aligned to P&T and AI goals. Operate as a delivery-focused engineering leader who balances innovation with reliability; raise the bar on execution discipline, technical quality, and cross-functional collaboration; build healthy teams with clear accountability, strong co
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