# IC Agentic Engineering Manager - Stargate

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: onsite
**Experience**: mid
**Job type**: Full time
**Salary**: $293K – $490K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/4509797c-7e8b-4bfd-a68e-fb3fd90d2433
**Canonical**: https://yubhub.co/jobs/job_f5253558-a19

## Description

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

**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

## Skills

### Required
- software engineering
- distributed systems
- infrastructure
- platform engineering
- production automation
- data-driven operational tooling
- AI
- ML
- agent-based approaches

### Nice to have
- LLM-based systems
- agents
- autonomous workflows
- infrastructure operations
- SRE
- large-scale system deployment
- cluster bring-up
- debugging
- data center infrastructure systems
- telemetry
- monitoring systems
- observability pipelines
- internal tools
- platforms
- engineering productivity