← All roles

Manager, AI Deployment Engineering (Southeast Asia)

OpenAI· Go To Market
Apply on company site
Hybrid (Singapore)Full-timePosted 1mo ago

About the role

Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting enterprise customers, focusing on technical success, production-grade AI deployments, and scalable engagement models. Hybrid work in Singapore with relocation assistance.

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

  • Significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or Technical Account Managers.
  • 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.
  • 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 evolving products or markets.
  • Ability to translate among technical details, customer needs, product strategy, and business outcomes.
  • Experience working with large organizations involving multiple business units, procurement processes, or governance requirements.
  • Strong executive presence and ability to build trust with engineering leaders, business executives, security teams, and other senior stakeholders.
  • Designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for growing technical organizations.
  • Cross-functional collaboration and conflict navigation with trust and accountability.
  • Data-driven with ability to allocate resources across a large portfolio of opportunities.
  • Commitment to developing people, coaching, and building inclusive teams.
  • Motivation to help organizations adopt frontier AI responsibly and turn capabilities into durable value.

Skills

Required:Team leadership and people managementSolution design and architecture coachingCustomer engagement and executive communicationProduction AI systems
Nice to have:Delivery leadership and operating models

Benefits

  • Relocation assistance to new employees
  • Hybrid work model (3 days in the office per week)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About OpenAI

ai-infrastructure-and-developmentliquid-ai-recruiting-targetllmsetter-30setter-30-2026-q1speech-to-texttext-to-speechvoice-ai-stack
Company profileWebsite

More open roles at OpenAI