Manager, Applied AI Engineering (Codex)

Details

The Applied AI Engineering team helps customers turn frontier AI capabilities into products, workflows, and business impact. The Codex team partners with engineering organizations to integrate Codex into software development lifecycles, from identifying use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption.

This role leads a team of Applied AI Engineers supporting strategic customers. The team works 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. The manager will shape the team's operating model, coach engineers, advise customers technically, and partner with Sales, Product, Research, and Engineering.

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 progress 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 to align customer outcomes with product direction and roadmap priorities.
• Establish repeatable technical patterns, playbooks, reference architectures, and best practices for AI-powered software development.
• Coach Applied AI Engineers to operate as trusted technical partners to engineering leaders, executives, and highly technical customer teams.
• Synthesize customer engagement insights into actionable feedback for Product, Research, and Engineering.
• Develop a deep understanding of Codex usage, customer friction points, and technical or product capabilities that could unlock greater impact.
• Champion safe, reliable, and effective adoption of AI-powered development workflows across industries.

Requirements

• 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles.
• 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.
• Experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production environments.
• Strong hands-on software engineering experience and fluency with programming languages such as Python or JavaScript.
• Understanding of modern software development lifecycles and how AI and coding agents can change how software is designed, built, tested, and maintained.
• Ability to work directly with customer engineering teams to understand ambiguous problems, develop technical approaches, and create working solutions.
• Effective communication skills, including the ability to translate complex technical and business topics for engineering teams and executive stakeholders.
• Ability to thrive in ambiguous, fast-moving environments and build operating models, technical patterns, and teams from first principles.
• Strong ownership, humility, technical judgment, and commitment to helping customers and teammates succeed.
• Personal commitment to the safe and beneficial development of AI.

Work Arrangement

The role is open in the San Francisco office and uses a hybrid work model with three days in the office per week.

Benefits

• Equity, performance-related bonuses for eligible employees, and benefits in addition to base pay.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer committed to reasonable accommodations and the safe and beneficial development of AI.