Manager, AI Deployment Engineering (Southeast Asia)
AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.
Projects
About OpenAI
OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build, lead and develop a team of Applied AI Engineers supporting enterprise customers. You will be accountable for the technical success of a strategic customer portfolio, coach engineers on architecture and evaluation decisions, act as a senior escalation point in high-stakes situations, and collaborate with Sales, Solutions Engineering, Product, Research, Engineering, Security and Legal. You will also define coverage models, reusable patterns, enablement and feedback loops for serving enterprise customers at scale.
Requirements
- Significant experience managing customer-facing technical teams such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers or Technical Account Managers
- Experience building or leading teams implementing complex software, data, ML or AI systems in enterprise environments
- Sufficient technical depth to evaluate architectures and coach engineers
- Experience taking AI or ML systems from prototype to production
- Understanding of reliability, observability, security, privacy, data governance and evaluation
- Experience leading teams through ambiguity and escalations
- Experience working with large organizations and governance requirements
- Strong executive presence
- Experience designing operating models and repeatable delivery processes
Responsibilities
- Build, manage and develop a team of Applied AI Engineers
- Own the quality and impact of the team's work across design, implementation, production readiness, adoption and expansion
- Coach the team on architecture, model selection, evaluations, reliability, latency, safety, security, governance and cost
- Establish an operating model for prioritizing accounts and engagements
- Serve as a senior technical escalation point during launches, incidents and complex integrations
- Partner with customer executives to connect implementation to business outcomes
- Partner with Sales and Solutions Engineering across the customer lifecycle
- Translate customer needs into feedback for Product, Research and Engineering
- Develop reusable architectures, evaluation methods, playbooks, tooling and enablement
- Establish mechanisms for measuring implementations, adoption, outcomes and team capacity
- Hire and raise the technical and leadership bar
Benefits
- Relocation assistance
- Hybrid work model
