Senior Manager, AI Software Engineering

Role Description

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. You will play a key part in translating AI strategy into reliable, scalable software and platform outcomes.

• 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.

Qualifications

• 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 is preferred.
• Experience with large-scale event processing, real-time systems, or detection and analytics platforms is preferred.
• Hands-on familiarity with cloud platforms such as AWS or GCP, as well as Kubernetes, Docker, and modern CI/CD practices is preferred.
• Experience with LLM-powered applications, agentic workflows, retrieval systems, or applied AI platform services is preferred.
• Background in endpoint security, cloud security, SIEM, or adjacent security domains is preferred.

Benefits

• Equity & Rewards
• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Time Off & Wellbeing
• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave
• Insurance & Financial Security
• 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
• Work Perks & Flexibility
• Home office allowance
• Mobile phone reimbursement
• Wellness & Lifestyle
• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement