Manager, AI Deployment Engineering - Codex

OpenAI•San Francisco, CA

2d•Hybrid

About The Position

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of OpenAI technologies across developers and enterprises. We act as trusted technical partners, helping customers move from experimentation to production by designing, implementing, and scaling real-world AI applications. The Codex Deployment Engineering team focuses on enabling organizations to adopt next-generation AI coding tools and intelligent automations throughout their software development lifecycle. We partner directly with engineering teams to integrate Codex into their workflows — from early experimentation and pilot design through enterprise-scale production rollout — ensuring AI-enhanced developer experiences are reliable, secure, and deeply embedded within customer environments. We are seeking an experienced technical leader to manage a team of AI Deployment Engineers responsible for driving successful Codex adoption across strategic customers. In this role, you will lead engineers who work hands-on with customer development teams to design AI-enabled workflows, deploy production-ready solutions, and establish scalable patterns for AI-powered software development. As a manager, you will define how deployment engagements operate at scale — setting technical strategy, coaching engineers, and ensuring consistent execution across customer implementations. You will serve as both a people leader and technical advisor, partnering closely with Sales, Product, Research, and Engineering teams to translate customer needs into deployment best practices and product insights. Success in this role will be measured by production deployments, sustained developer adoption, and the creation of repeatable deployment patterns that accelerate Codex usage across organizations. This role is open in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Requirements

Have 8+ years of experience in technical customer-facing roles such as deployment engineering, solutions architecture, technical consulting, or post-sales engineering.
Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.
Have experience deploying Generative AI, developer platforms, or cloud-based software solutions into production environments.
Possess hands-on technical experience with software development systems and programming languages such as Python or JavaScript.
Understand modern software development lifecycles and how AI tooling transforms developer productivity and workflows.
Are an effective communicator who can translate complex technical and business topics to both engineering teams and executive stakeholders.
Thrive in ambiguous, fast-moving environments and enjoy building new operating models and teams from first principles.
Demonstrate strong ownership, humility, and a commitment to helping both customers and teammates succeed.

Responsibilities

Lead, hire, and mentor a high-performing team of AI Deployment Engineers supporting Codex customers across strategic accounts.
Own the operating model and engagement strategy for Codex deployment efforts, ensuring customers successfully move from pilot to production adoption.
Guide teams in designing and implementing AI-enhanced development workflows, automations, and scalable deployment architectures.
Act as the senior technical escalation point for complex customer implementations and deployment challenges.
Partner with Sales, Product, Research, and Applied Engineering teams to align customer outcomes with product direction and roadmap priorities.
Help establish repeatable deployment playbooks, technical patterns, and best practices that enable scaled adoption of AI coding tools.
Coach engineers to operate as trusted advisors to engineering leadership and executive stakeholders.
Synthesize insights from customer deployments and translate them into actionable feedback for internal teams.
Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.