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 customer-facing AI capabilities, while partnering closely with various teams to ensure high-impact AI initiatives are delivered effectively.
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
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