Manager, Applied AI Engineering (Codex)

OpenAI•San Francisco, CA

20h•$251,000 - $335,000•Hybrid

About The Position

The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex), leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeatable technical patterns that help engineering organizations get more value from AI.

Requirements

Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles.
Have 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.
Have experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production environments.
Possess strong hands-on software engineering experience and fluency with programming languages such as Python or JavaScript.
Understand modern software development lifecycles and have strong intuition for how AI and coding agents can change how software is designed, built, tested, and maintained.
Can work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and turn ideas into working solutions.
Are an effective communicator who can translate complex technical and business topics for both engineering teams and executive stakeholders.
Thrive in ambiguous, fast-moving environments and enjoy building new operating models, technical patterns, and teams from first principles.
Demonstrate strong ownership, humility, technical judgment, and a commitment to helping both customers and teammates succeed.
Are personally committed to fostering the safe and beneficial development of AI.

Responsibilities

Lead, hire, and mentor a high-performing team of Applied AI Engineers supporting Codex customers across strategic accounts.
Own the operating model and technical engagement strategy for Codex Applied AI Engineering, helping customers move from initial exploration to meaningful, scaled adoption.
Guide teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures.
Act as the senior technical escalation point and thought partner for complex customer implementations and engineering challenges.
Partner with Sales, Product, Research, and Engineering teams to align customer outcomes with product direction and roadmap priorities.
Establish repeatable technical patterns, playbooks, reference architectures, and best practices that enable broader adoption of AI-powered software development.
Coach Applied AI Engineers to operate as trusted technical partners to engineering leaders, executives, and highly technical customer teams.
Synthesize insights from customer engagements and translate them into actionable feedback for Product, Research, and Engineering.
Develop a deep understanding of how customers are using Codex, where they encounter friction, and where new technical approaches or product capabilities could unlock greater impact.
Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.