Manager, AI Deployment Engineering - Enterprise

Details

The Technical Success team helps OpenAI customers realize meaningful and sustained value from its technology. The Enterprise AI Deployment Engineering team supports complex organizations across Professional Services, Media and Entertainment, Telecommunications, and Private Equity, helping them deploy AI securely, reliably, and at scale.

AI Deployment Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They translate frontier model capabilities into durable business outcomes.

Responsibilities

• Build, manage, and develop a high-performing team of AI Deployment Engineers supporting enterprise customers.
• Own the quality and impact of work across solution design, implementation, production readiness, adoption, and expansion.
• Coach engineers through architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost decisions.
• Establish operating models for prioritizing accounts and engagements based on customer need, strategic value, technical complexity, and repeatable impact.
• Serve as a senior technical escalation point during critical launches, production incidents, complex integrations, and high-stakes customer decisions.
• Partner with customer executives and technical leaders to connect deployment decisions to measurable business and operational outcomes.
• Help customers move from experimentation to production deployments and sustained adoption across teams, workflows, and business units.
• Work with Sales and Solutions Engineering to maintain continuity across the customer lifecycle and shared accountability for customer success.
• Translate recurring deployment challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams.
• Develop reusable architectures, evaluation approaches, playbooks, tooling, and enablement to improve time to value.
• Create mechanisms to measure production deployments, usage, adoption, customer outcomes, delivery quality, team capacity, and reusable-work impact.
• Hire thoughtfully, raise the technical and leadership bar, and foster accountability, curiosity, collaboration, and continuous learning.

Requirements

• Significant experience managing customer-facing technical teams, such as Solutions Architects, Deployment Engineers, Forward Deployed Engineers, Technical Account Managers, or similar functions.
• Experience building or leading teams responsible for deploying complex software, data, machine learning, or AI systems in enterprise environments.
• Technical depth sufficient to evaluate architectures, challenge assumptions, and coach engineers through difficult implementation decisions.
• Experience taking AI, machine learning, or other technically complex systems from prototype to production.
• Understanding of production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness.
• Experience leading teams through ambiguity, competing priorities, escalations, and rapidly changing products or markets.
• Ability to translate between technical details, customer needs, product strategy, and business outcomes.
• Experience working with large, complex organizations involving multiple business units, stakeholder groups, procurement processes, or governance requirements.
• Strong executive presence and the ability to build trust with engineering leaders, business executives, security teams, and other senior stakeholders.
• Experience designing operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes.
• Strong cross-functional collaboration and resource-allocation skills.
• A track record of coaching team members, raising performance, and building inclusive teams.

Relevant experience may include leading Solutions Architecture, AI deployment, forward-deployed engineering, professional services, technical consulting, or customer engineering teams; deploying generative AI, machine learning, developer platforms, cloud infrastructure, data platforms, or other complex enterprise technologies; and supporting global customers, regulated workflows, or large-scale organizational transformation.

Benefits

• Equity, in addition to base salary.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax FSA, dependent-care, commuter, and related accounts.
• 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.
• 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.

OpenAI is an equal opportunity employer committed to reasonable accommodations and consideration of applicants in accordance with applicable law.