Manager, Applied AI Engineering (Codex)
Recruiter Fit Breakdown & Candid Summary
This is a high-impact leadership role for a seasoned technical manager with deep experience in customer-facing engineering.
The ideal candidate bridges the gap between complex AI research and practical enterprise software development, acting as both a people manager and a senior technical advisor.
Candidates should have a strong background in software engineering and production-level AI deployment; pure management or non-technical backgrounds will not be a fit.
Expect to operate in a high-stakes, fast-paced environment where you must influence product roadmaps based on real-world customer feedback.
Role Responsibilities
- 1Lead, hire, and mentor a team of Applied AI Engineers focused on Codex adoption.
- 2Define the technical engagement strategy and operating model for strategic customer accounts.
- 3Guide the design of AI-enhanced development workflows, agentic systems, and scalable architectures.
- 4Act as the senior technical escalation point for complex customer implementation challenges.
- 5Collaborate with Product, Research, and Sales to translate customer insights into product improvements.
- 6Develop repeatable technical patterns, playbooks, and reference architectures for AI-powered development.
Skills Matrix
Must-Have Skills
Nice-to-Have Skills
Will an ATS filter reject your resume for this role?
Check your keyword match score, missing must-have skills, and formatting flags — before you apply.
No signups. Free check in 3 seconds.
Ready to submit your application?
Apply directly on OpenAI's official job portal.