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Manager, Applied AI Engineering (Enterprise)

OpenAI· Go To Market
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Hybrid (New York City), Hybrid (San Francisco), Hybrid (Mountain View)$251k - $335kFull-timePosted 3mo ago

About the role

Manager to build and lead a team of Applied AI Engineers supporting enterprise customers, delivering production-grade AI systems and driving adoption across organizations.

Responsibilities

  • 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.
  • Establish an operating model for prioritizing accounts and engagements according to customer needs, strategic value, technical complexity, and 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 implementation decisions to measurable business and operational outcomes.
  • Help customers progress from experimentation to production systems and sustained adoption across their organizations.
  • Partner closely with Sales and Solutions Engineering to create continuity throughout the customer lifecycle and maintain shared accountability for customer success.
  • Translate customer needs and recurring implementation challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams.
  • Identify scalable market patterns, distinguish them from bespoke requests, and advocate for investments that can benefit multiple customers.
  • Develop reusable architectures, evaluation methods, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio.
  • Establish mechanisms for measuring production implementations, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work.
  • Hire thoughtfully, raise the technical and leadership bar, and foster a culture of accountability, curiosity, collaboration, inclusion, and continuous learning.
  • Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders.

Qualifications

  • Have significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or Technical Account Managers.
  • Have built or led teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments.
  • Maintain sufficient 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 production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness.
  • Have led teams through ambiguity, competing priorities, escalations, and rapidly evolving products or markets.
  • Can translate effectively among technical details, customer needs, product strategy, and business outcomes.
  • Have worked with large organizations involving 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 helping organizations adopt frontier AI responsibly and turn emerging capabilities into durable value.

Skills

Required:Managing customer-facing technical teamsArchitecting production AI systems

Benefits

  • 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
  • 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
Last updated Sep 3, 2026. Interested? Apply on the company site.

About OpenAI

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