Applied AI Delivery Lead - Mountain View

OpenAI•San Francisco, CA
•$234,000 - $335,000

About The Position

OpenAI is seeking a senior, customer-facing Delivery Lead to own priority AI initiatives for its largest and most strategic customers. The role leads complex deployments from scoping and planning through launch and initial adoption, building integrated delivery plans and driving execution against commitments. The Delivery Lead works closely with account and technical teams, forward-deployed engineers (FDEs), customers, and delivery partners to resolve blockers, manage risks, and translate customer priorities into successful deployments and measurable customer value. The role communicates delivery progress, risks, launch confidence, expected outcomes, and implications for customer adoption, consumption, and revenue timing. It also turns customer experience into repeatable playbooks, practical tools, and actionable feedback for product and delivery teams.

Requirements

  • At least 7 years of experience leading complex enterprise technology deployments, customer delivery programs, or transformation initiatives involving multiple teams and partners.
  • A track record of driving programs from scope through launch and adoption, with accountability for delivery commitments and measurable customer outcomes.
  • Strong technical aptitude, including the ability to understand AI systems, APIs, integrations, enterprise architecture, security dependencies, and deployment risks.
  • Ability to translate customer priorities into actionable delivery plans with clear milestones, owners, dependencies, and success measures.
  • Strong judgment under ambiguity, including identifying material risks, navigating competing priorities, and driving timely decisions.
  • Experience building customer trust and leading across teams outside one's reporting line while holding stakeholders accountable to shared commitments.
  • Excellent communication skills and ability to engage executives, technical specialists, and customer operators, and explain complex delivery issues clearly.
  • Commercial awareness and understanding of how deployment, adoption, and consumption contribute to customer value and growth.
  • Practical approach to building repeatable delivery methods while adapting to the needs of individual customers.

Responsibilities

  • Own delivery of priority AI initiatives, leading complex customer engagements from scoping and planning through deployment, launch, and initial adoption.
  • Build and drive an integrated delivery plan with clear scope, milestones, accountable owners, dependencies, resource needs, and success measures across customer, OpenAI, and partner teams.
  • Identify risks and blockers early, work through dependencies and resource constraints, and bring stakeholders together to resolve tradeoffs and keep delivery moving.
  • Lead launch readiness and activation, including rollout and enablement planning, addressing technical and organizational readiness gaps, and removing barriers to initial adoption and usage.
  • Define expected customer outcomes and measurement approaches with customers and account teams; track adoption and consumption, assess results against agreed baselines, and communicate achieved value.
  • Lead customer and internal delivery reviews that drive decisions and action, and communicate progress, launch confidence, risks, and implications for expected consumption and revenue timing.
  • Improve delivery methods by turning customer experience into repeatable playbooks, practical tools, and actionable feedback for product and delivery teams.
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