Sr. Manager, AI Software Engineering

Our client operates at the intersection of AI and cybersecurity, addressing the increasing need to protect enterprises and critical infrastructure in a rapidly evolving technological landscape. It delivers an AI-native platform that integrates protection across endpoints, cloud, identity, data, and AI systems, enabling autonomous detection and response. By leveraging real-time analytics and intelligent automation, the platform simplifies cybersecurity complexity and empowers security teams to focus on critical tasks, impacting global enterprises and infrastructure.

About the Opportunity

The Sr. Manager, AI Software Engineering leads and scales AI engineering teams responsible for delivering production-grade AI systems and customer-facing AI capabilities. This role translates AI strategy into reliable, scalable software and platform outcomes, working closely with cross-functional leaders to implement high-impact AI initiatives with quality and operational rigor. The position contributes to building AI-powered product capabilities and supporting infrastructure to advance the organization's cybersecurity solutions.

Responsibilities

• Lead and grow AI engineering teams delivering production AI capabilities and platform services
• Drive execution of strategic AI initiatives including customer-facing features and internal AI platforms
• Collaborate with Product Management and engineering leaders to define technical plans and milestones
• Establish engineering management practices covering planning, execution, quality, and incident response
• Mentor engineering managers and senior contributors to foster accountability and innovation
• Define and enforce best practices for AI system development, MLOps, reliability, security, and performance
• Support architecture and design for scalable, low-latency, highly available AI systems
• Recruit, develop, and retain engineering talent across AI, software, and platform domains
• Enhance collaboration among globally distributed teams to ensure effective delivery
• Participate in organization design, capacity planning, and alignment with AI and P&T goals
• Balance innovation with reliability while promoting execution discipline, technical quality, and cross-functional collaboration

Requirements

• Eight or more years in software or machine learning engineering or related technical fields
• Three or more years managing engineering teams, including managing managers or senior engineers
• Proven experience delivering production-grade software, AI, or data products at scale
• Strong technical expertise in distributed systems, cloud-native services, and modern engineering practices
• Experience building or operating AI/ML systems including model integration, deployment, and lifecycle management
• Familiarity with MLOps and AI product delivery platform capabilities
• Strong understanding of engineering quality, security, observability, and operational excellence
• Ability to partner effectively with Product, Design, Security, Data, and Infrastructure teams
• Excellent communication skills and experience aligning senior stakeholders
• Demonstrated success in hiring and developing high-performing engineering teams

Preferred Qualifications

• Experience in AI-powered cybersecurity products
• Experience with large-scale event processing
• Experience with cloud platforms (AWS/GCP), Kubernetes, Docker, CI/CD