IC Agentic Engineering Manager - Stargate

Details

About 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, the team is investing in agentic systems and intelligent automation to improve how infrastructure is deployed, operated, and debugged.

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. The focus is on applying agentic systems to concrete infrastructure workflows (deployment orchestration, system bring-up, issue triage, debugging, capacity management) rather than building a general-purpose agent platform.

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, and 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

Qualifications

• Strong software engineering background in distributed systems, infrastructure, or platform engineering
• Experience building production automation systems or data-driven operational tooling
• Experience applying AI, ML, or agent-based approaches to real-world systems or workflows
• Ability to operate as a hands-on IC while leading a small team
• Experience working cross-functionally with infrastructure, hardware, or systems teams
• Strong problem-solving skills in complex, ambiguous environments

Preferred Skills

• Experience with LLM-based systems, agents, or autonomous workflows
• Background in infrastructure operations, SRE, or large-scale system deployment
• Experience working on cluster bring-up, debugging, or data center infrastructure systems
• Familiarity with telemetry, monitoring systems, and observability pipelines
• Experience building internal tools or platforms for engineering productivity and operations

Compensation

• Base compensation range listed: $293K - $490K (offers equity). The base pay may vary depending on market location, skills, and experience. Total compensation may include equity, performance-related bonuses, and other benefits.

Benefits & Other Information

• Medical, dental, and vision insurance; employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
• 401(k) with employer match
• Paid parental leave and medical/caregiver leave
• Flexible PTO and paid company holidays
• Mental health and wellness support; basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits as eligible
• Relocation support for eligible employees
• OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities