Director, Codex Applied AI Engineering

OpenAI; San Francisco, New York (CA, NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

OpenAI is seeking a Manager, Applied AI Engineering (Codex) in San Francisco. You will lead a team of Applied AI Engineers driving Codex adoption across strategic customers, designing scalable AI-enabled development workflows and architectures, and partnering across Sales, Product, Research, and Engineering.

You will shape the operating model, coach engineers, and translate customer needs into reusable patterns and product insights.

Qualifications

• 8+ years in deeply technical, customer-facing roles such as applied engineering or solutions architecture.
• 2+ years leading technical teams, including hiring and mentoring engineers.
• Experience building or deploying generative AI or developer platforms in production.

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 scaled adoption.
• Guide teams in designing and implementing AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable 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 to align outcomes with product direction.

Skills

8+ years experience

Team leadership

Generative AI

Python

JavaScript

Tools

AWS/GCP

Job description

OpenAI is seeking a Manager, Applied AI Engineering (Codex) in San Francisco. You will lead a team of Applied AI Engineers driving Codex adoption across strategic customers, designing scalable AI-enabled development workflows and architectures, and partnering across Sales, Product, Research, and Engineering.

You will shape the operating model, coach engineers, and translate customer needs into reusable patterns and product insights.