OpenAI Manager, Applied AI Engineering (Codex) at OpenAI to lead a team driving Codex adoption across strategic customers. Shape technical engagements and set strategy for AI-powered software development workflows.
Responsibilities
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.
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.
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.
