[Remote] Sr. Manager, AI Software Engineering

Note: The job is a remote job and is open to candidates in USA. SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. As a Senior Manager, AI Software Engineering, you will manage and scale AI Engineering teams responsible for delivering production-grade AI systems and capabilities while partnering closely with various stakeholders to translate AI strategy into reliable software outcomes.

Responsibilities

• 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 coaching, and high trust; make pragmatic decisions, surface risks early, and drive issues to resolution; and foster a culture that values customer impact, learning velocity, and engineering excellence

Skills

• 8 or more years of experience in software engineering, machine learning engineering, or closely related technical fields
• 3 or more years of experience leading engineering teams, including managing managers and/or senior engineers in a high-growth environment
• Proven track record of shipping production-grade software, AI, or data products at scale
• Strong technical depth in distributed systems, cloud-native services, and modern software engineering practices
• Experience building or operating AI and ML systems, including model integration, evaluation, deployment, monitoring, and lifecycle management
• Familiarity with MLOps and platform capabilities required to support reliable AI product delivery
• Strong understanding of engineering quality, security, observability, and operational excellence practices
• Experience partnering effectively with Product, Design, Security, Data, and Infrastructure teams
• Excellent communication skills and the ability to align senior stakeholders around priorities, tradeoffs, and execution plans
• Demonstrated success hiring and developing high-performing engineering teams
• Experience leading teams that build AI-powered product features in cybersecurity, enterprise software, or data-intensive environments
• Experience with large-scale event processing, real-time systems, or detection and analytics platforms
• Hands-on familiarity with cloud platforms such as AWS or GCP, as well as Kubernetes, Docker, and modern CI/CD practices
• Experience with LLM-powered applications, agentic workflows, retrieval systems, or applied AI platform services
• Background in endpoint security, cloud security, SIEM, or adjacent security domains

Benefits

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave
• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary benefits (hospital, accident, critical illness)
• Employee Assistance Program (EAP)
• ARAG pre-paid legal
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance
• Home office allowance
• Mobile phone reimbursement
• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement

Company Overview