Deployment Engineering Manager, Enterprise

Responsibilities

• Define and execute the infrastructure roadmap aligned with business and engineering priorities
• Lead the design and implementation of scalable, secure, and reliable infrastructure systems
• Manage the engineering team, drive technical delivery, and mentor engineers
• Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience
• Design, build, and optimize backend services for advanced AI-driven applications, including AI agents and evaluation tooling
• Work closely with product, security, and engineering leadership to align on goals and priorities
• Influence the culture, values, and processes of a growing engineering team

Requirements

• At least 5 years of relevant experience and 2+ years of experience managing infrastructure or platform teams
• Proven experience with cloud platforms such as AWS, GCP, or Azure
• Deep understanding of CI/CD pipelines, infrastructure-as-code (e.g., Terraform, Pulumi), and container orchestration (e.g., Kubernetes)
• Experience managing production environments with high availability, reliability, and scalability requirements
• Familiarity with monitoring, alerting, and incident response best practices
• Experience working with modern developer platforms and internal tooling to improve engineering velocity

Benefits

• Base salary, equity, and comprehensive benefits
• Comprehensive health, dental, and vision coverage
• Retirement benefits
• Learning and development stipend
• Generous PTO
• Potential commuter stipend

About the Company

Scale AI is the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. Our mission is to accelerate the development of AI applications by providing the high-quality data and full-stack technologies that power the world's leading models.