Manager, AI Deployment Engineering — Enterprise (ProServe, Media, Telco, Private Equity)

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $251K – $335K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

About the Team

The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. The Enterprise AI Deployment Engineering team supports complex organizations across Professional Services, Media and Entertainment, Telecommunications, and Private Equity.

About the Role

We are seeking a Manager to build, lead, and develop a team of AI Deployment Engineers supporting OpenAI’s Enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio.

In This Role, You Will

• Build, manage, and develop a high-performing team of AI Deployment Engineers supporting enterprise customers across Professional Services, Media and Entertainment, Telecommunications, and Private Equity.
• Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion.
• Coach the team through complex decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost.
• Establish a clear operating model for prioritizing accounts and engagements based on customer need, strategic value, technical complexity, and the potential for 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 progress from isolated experimentation to production deployments and sustained adoption across teams, workflows, and business units.
• Work closely with Sales and Solutions Engineering to create continuity across the customer lifecycle and maintain shared accountability for customer success.
• Translate customer needs and recurring deployment challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams.
• Distinguish scalable market patterns from bespoke requests and advocate for investments that can benefit multiple customers.
• Develop reusable architectures, evaluation approaches, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio.
• Create mechanisms to measure production deployments, usage, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work.
• Hire thoughtfully, raise the technical and leadership bar of the organization, and foster a culture of accountability, curiosity, collaboration, and continuous learning.
• Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders.

You Might Thrive in This Role If You

• Have significant experience managing customer-facing technical teams, such as Solutions Architects, Deployment Engineers, Forward Deployed Engineers, Technical Account Managers, or similar functions.
• Have built or led teams responsible for deploying complex software, data, machine learning, or AI systems in enterprise environments.
• Maintain enough technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions.
• Have experience taking AI, machine learning, or other technically complex systems from prototype to production.
• Understand the requirements of production systems, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness.
• Have led teams through ambiguity, competing priorities, escalations, and rapidly changing products or markets.
• Can translate between technical details, customer needs, product strategy, and business outcomes.
• Have experience working with large, complex organizations that include multiple business units, stakeholder groups, procurement processes, or governance requirements.
• Demonstrate strong executive presence and can build trust with engineering leaders, business executives, security teams, and other senior stakeholders.
• Have designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for a growing technical organization.
• Are a strong cross-functional partner who can navigate disagreement directly while maintaining trust and shared accountability.
• Use data and clear principles to allocate limited resources across a large portfolio of opportunities.
• Care deeply about developing people and have a track record of coaching team members, raising performance, and building inclusive teams.
• Are energized by the opportunity to help organizations adopt frontier AI responsibly and translate emerging capabilities into durable value.