O

OpenAI

Builds AI models and the ChatGPT assistant

Deployment Lead

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeTokyo, Japan

About the Job

Requirements

  • Bring 7+ years of customer-facing technical delivery leadership.
  • Have a 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 simplify complex, dynamic work.
  • Move fluidly between system-level understanding and execution-level detail; dive into customer workflows and data, map constraints, sketch architectures, and move ambiguous problems to shipped systems.
  • Think strategically and pattern-match, recognizing broader trends across deployments and connecting customer needs to scalable, reusable solutions.
  • Have strong technical fluency and sequencing instincts; confidently discuss technical details, pressure-test architectures, and make trade-offs.
  • Have shipped AI/LLM systems and understand solution patterns, integration basics, and production pitfalls.
  • Translate complex technical trade-offs for business leaders and convert strategy into day-to-day technical execution.
  • Be willing to work onsite with customers to accelerate delivery, often 25–50% of the time and sometimes higher.
  • Have expertise in at least one major sector, such as healthcare, energy, financial services, semiconductors, or IT.

Responsibilities

  • Own technical delivery plans for multiple interdependent workstreams by translating business objectives into roadmaps with milestones, dependencies, and acceptance criteria.
  • Run day-to-day engineering execution across OpenAI FDE and customer teams, tracking and driving delivery, unblocking and sequencing work, and making real-time scope and priority trade-offs to protect the critical path.
  • Embed with customer teams to deliver production deployments and drive adoption by mapping workflows, shaping tools and integrations, translating requirements into delivery plans, and leading onboarding, adoption, and change management.
  • Partner with Product and Research to ensure platform components and research workstreams arrive in time to support deployment goals.
  • Codify solution patterns and evaluations, extracting reusable patterns and packaging field signals to improve products and models.
  • Own value cases and return on investment by setting impact hypotheses, baselines, and key performance indicators; conducting pre- and post-deployment measurement; and reporting to executive sponsors.
  • Share field insights with Product and Research to guide roadmaps and priorities.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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