Technical Deployment Lead, Semiconductors

Responsibilities

• Own the technical delivery plan for multiple interdependent work streams, translating customer objectives into a roadmap with milestones, dependencies, and acceptance criteria.
• Run day-to-day engineering execution by tracking and driving delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
• Embed with Semiconductor customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan.
• Shape production deployments that integrate with customer infrastructure, data systems, and engineering toolchains, including export-controlled environments.
• Partner with Product and Research so platform components and research work streams land in time to support deployment goals.
• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.
• Help define how OpenAI engages Semiconductor customers.

Requirements

• 7+ years of customer-facing technical delivery leadership.
• Deep expertise in Semiconductor workflows, including RTL design, verification, EDA tooling, and physical implementation.
• 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. Know how to simplify complex and dynamic work.
• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.
• Think strategically and pattern-match. Able to step back from execution detail, recognize broader trends across deployments, and connect customer needs to scalable, reusable solutions.
• Strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.
• Shipped AI/LLM systems. Understand solution patterns, integration basics, and production pitfalls.
• Translator with executive presence. Make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.
• Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

Nice-to-Haves

• Experience with AI/LLM systems in production environments.