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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager, AI Software Engineering - **Company:** · Sentinelone - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $200,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Systems Engineering, Automated Storage and Retrieval Systems, Cloud Computing, Cloud Computing Security, Continuous Integration, Distributed Systems, Machine Learning, Software Product Management, Security Information and Event Management, Software Engineering, Systems Integration, Google Cloud, Enterprise Software Applications, Real Time Systems, Large Language Models, AI Platforms, Kubernetes, Low Latency, Complex Event Processing, Machine Learning Operations, Serverless Computing, Docker - **Published:** August 1, 2026 - **Apply:** https://www.dice.com/job-detail/d71a2a81-03a5-4066-a435-905a1bd3dfc1 ## About the Role * 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 Google Cloud Platform, 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. ## 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. 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 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. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)