Deployment Engineering Manager, Enterprise
$216k - $270k • San Francisco, CA; New York, NY
Posted 1mo ago
Job Location
San Francisco, CA; New York, NY
Tech Stack
Remote Work Policy
On-site
Categories
AI Infrastructure Engineer
About the job
Scale AI is seeking an Infrastructure Engineering Manager to lead a team focused on the full deployment lifecycle of AI applications in live customer environments. This role bridges the gap between AI research and production, transforming innovative prototypes into scalable, high-performance enterprise solutions. The team works on interactive AI applications, enterprise SaaS products, and platform capabilities, ensuring deployments are production-ready, secure, and built to last. The manager will drive improvements through customer feedback, automation, and scalable playbooks, focusing on complex technical problems at the intersection of customer impact and platform excellence.
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.
- Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience.
- Manage the engineering team and drive technical delivery.
- Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
- Influence the culture, values, and processes of a growing engineering team.
- Inspire and mentor engineers.
- Work closely with product, security, and engineering leadership to align on goals and priorities.
Requirements
- At least 5 years of relevant experience.
- At least 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
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend