Manager, Applied AI Engineering (Enterprise)

The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption.

Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes.

ABOUT THE ROLE

We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers.

You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units.

This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal.

You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback.

IN THIS ROLE, YOU WILL

• Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers.

• Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion.

• Coach the team through decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost.