# Engineering Manager, Sensitive Deployments

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $347k – $490k/yr
**Experience:** 10+ years
**Skills:** Python, JavaScript, TypeScript, Azure, AWS, Kubernetes, Terraform, Cloud Infrastructure, APIs, Security, Production Operations, Full-Stack Software
**Posted:** 2026-06-16

> Lead and grow a team of senior engineers delivering OpenAI's most critical deployments in sensitive government, defense, and regulated enterprise environments. Drive architecture, security, and operational readiness while partnering with customers and cross-functional stakeholders.

## Job Description

## Responsibilities
- Lead and grow a team of engineers responsible for complex, high-impact deployments of OpenAI technology in sensitive environments
- Own end-to-end delivery outcomes across prototype, pilot, production launch, and ongoing operation
- Partner directly with senior customer stakeholders, technical teams, and implementation partners to scope work, sequence delivery, and remove blockers
- Set and maintain a high bar for architecture, code quality, testing, observability, reliability, security, and operational readiness
- Translate field learnings into reusable tools, playbooks, reference architectures, product requirements, and roadmap feedback
- Help the team make crisp tradeoffs between speed, quality, security, safety, and customer-specific needs
- Serve as a technical escalation point for deployments where ambiguity, urgency, or mission sensitivity is high
- Coach engineers on technical judgment, customer communication, prioritization, and operating calmly under pressure
- Build team mechanisms that let the group scale without adding unnecessary process or complexity

## Requirements
- 10+ years of engineering or technical delivery experience, including 4+ years managing high-performing engineers
- Experience leading customer-facing, forward-deployed, platform, infrastructure, security, or applied AI teams through ambiguous production deployments
- Experience working with government, defense, intelligence, public sector, critical infrastructure, or similarly sensitive/regulated customers
- Ability to credibly engage senior executives, mission owners, security stakeholders, and deeply technical ICs
- Strong technical depth across full-stack software, cloud infrastructure, APIs, data systems, security, and production operations
- Comfortable reviewing or writing production-grade code in Python, JavaScript/TypeScript, or similar languages
- Experience with deployment models involving Azure, AWS, Kubernetes, Terraform, identity, access controls, encryption, monitoring, and compliance requirements
- Ability to turn one-off customer work into reusable systems, platform capabilities, and durable team practices
- Skill in simplifying complex work, making fast and sound decisions under pressure, and communicating tradeoffs clearly
- Personal commitment to the safe and beneficial deployment of AI

## Nice-to-Haves
- Experience with hyperscaler and government deployments, regulated and high-trust enterprise settings, zero data retention and privacy-constrained deployments
- Background in agentic workloads and harm detection across sequences of actions

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