TL;DR

Technical Deployment Lead (AI): Defining how OpenAI delivers complex AI systems to customers, focusing on building, shipping, and ensuring the adoption of these systems. Focus on translating business outcomes into technical plans, managing execution across multiple teams, and partnering with customer teams to achieve their goals.

Location: Based in San Francisco, with a hybrid work model requiring 3 days in the office per week. Relocation assistance is offered. Travel between 25%-50% is required.

Salary: $198K – $335K + Offers Equity

Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Own the technical delivery plan for multiple interdependent work streams, translating business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
  • Run day-to-day engineering execution, tracking and driving delivery across OpenAI FDE and customer teams while making real-time trade-offs on scope and priority.
  • Embed with customer teams to land production deployments and drive adoption, mapping workflows and translating requirements into a delivery plan.
  • Partner with Product and Research to ensure platform components and research work streams support deployment goals.
  • Codify solution patterns and evaluations, extracting reusable patterns and packaging field signals to improve product and models.
  • Own value cases and ROI, setting impact hypotheses, baselines, and KPIs, and reporting to executive sponsors.

Requirements

  • Bring 7+ years of customer‑facing technical delivery leadership.
  • Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision-making, ideally involving AI.
  • Excel in high ambiguity environments and know how to simplify complex and dynamic work.
  • Move fluidly between system-level understanding and execution-level detail, diving into customer workflows/data and sketching architectures.
  • Think strategically and recognize broader trends across deployments, connecting customer needs to scalable, reusable solutions.
  • Have strong technical fluency and sharp sequencing instincts, making technical trade-offs legible to business leaders.
  • Have shipped AI/LLM systems and understand solution patterns, integration basics, and production pitfalls.
  • Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.

Culture & Benefits

  • Committed to providing reasonable accommodations to applicants with disabilities.
  • Believes artificial intelligence has the potential to help people solve immense global challenges.
  • Values different perspectives, voices, and experiences to form the full spectrum of humanity.
  • An equal opportunity employer.