IC Agentic Engineering Manager - Stargate
OpenAIAbout the Team
OpenAI’s Stargate Infrastructure team is building and operating the systems that power next-generation AI workloads at massive scale. This includes deploying and managing clusters, networks, and data center infrastructure across first-party and partner environments.
As the scale and complexity of these systems grow, we are investing in agentic systems and intelligent automation to improve how infrastructure is deployed, operated, and debugged. This team focuses on applying AI-driven approaches to real-world infrastructure workflows—enabling faster execution, higher reliability, and scalable operations.
About the Role
We are seeking an IC Agentic Engineering Manager to lead the development and application of agent-based systems for infrastructure delivery and operations within Stargate.
This is a player-coach role: you will contribute directly to system design and implementation while leading a small team. You will focus on applying agentic systems to infrastructure workflows such as deployment orchestration, system bring-up, issue triage, debugging, and capacity management.
This role is not focused on building general-purpose agent platforms. Instead, it is centered on applying agentic systems to solve concrete infrastructure problems, working closely with hardware, networking, and cluster teams.
Key Responsibilities
Design and build agent-based systems to support infrastructure deployment and operations
Identify high-impact opportunities to apply agents across workflows such as:
cluster bring-up and deployment readiness
incident triage and root cause analysis
system validation and health monitoring
capacity management and operational decision-making
Lead a small team while contributing directly as an IC across system design, development, and integration
Partner with infrastructure, hardware, and networking teams to integrate agentic systems into production workflows
Develop systems that leverage telemetry, logs, and system signals to enable closed-loop automation
Define evaluation frameworks to measure system effectiveness, reliability, and operational impact
Drive iteration from prototype to production, ensuring robustness and scalability