About the Company
The OpenAI Deployment Company (“DeployCo”) is the deployment arm of OpenAI, purpose-built to deliver enterprise AI transformation at scale. As model capabilities accelerate, deployment has become the primary constraint to realizing AI value creation within large enterprises. DeployCo bridges that gap.
Our ambition is to build the company that defines AI deployment. We operate at the intersection of cutting-edge AI, enterprise transformation, and scaled services delivery. We partner with enterprise customers to identify where AI can transform their businesses and build solutions leveraging OpenAI’s models and products. We work with many of the world's largest and most influential companies to solve their most complex business challenges using the latest advances in AI.
People who thrive at DeployCo get excited about ambitious and complex work. We are deep believers in the future with AI. We execute quickly, value intellectual honesty, and obsess over the solutions we build for our customers.
DeployCo is being built from the ground up as a subsidiary of OpenAI and funded with a partnership of outside investors.
About the Role
We are seeking an AI Deployment Strategist to turn ambitious customer deployments into shipped, adopted systems. In this role, you will lead day-to-day technical delivery for complex engagements: translating business outcomes into technical plans, coordinating Forward Deployed Engineers (FDEs), researchers, customer engineers, Product, and customer teams, and carrying solutions from prototype through production adoption. This role will report to DeployCo delivery leadership and partner closely with Forward Deployed Engineering, Product, Research, Customer Success, Partnerships, and customer stakeholders.
Your day-to-day will be mapping customer workflows and success criteria, building delivery plans, tracking dependencies, sequencing workstreams, unblocking technical teams, making scope tradeoffs, communicating risks, and driving readiness and change management so deployed systems land in real workflows. You will also codify reusable patterns, surface field insights, and help turn complex deployments into repeatable operating muscle.
Success in this role will look like deployments that deliver measurable customer value, reach production reliably, drive adoption, and produce reusable patterns for future engagements. You will be measured by delivery reliability, quality of technical execution, customer trust, operating leverage, judgment under pressure, and the strength of field signal shared back to Product and Research.
In this role, you will:
Own technical delivery plans for customer workstreams, translating business objectives into milestones, dependencies, acceptance criteria, and operating rhythms.
Run day-to-day execution across DeployCo, OpenAI, and customer teams, keeping work sequenced, risks visible, blockers resolved, and critical paths protected.
Embed with customers to map workflows, shape requirements, align technical plans to success criteria, and ensure solutions are adopted in production.
Partner with FDEs, researchers, product, customer engineers, and customer technical teams to move prototypes through MVP, production readiness, launch, and scale.
Make pragmatic tradeoffs on scope, sequencing, resourcing, and quality while maintaining trust with technical and executive stakeholders.
Own value cases and impact measurement, including hypotheses, baselines, KPIs, adoption tracking, and readouts to sponsors.
Codify reusable delivery patterns, implementation playbooks, evals, and field insights that improve future deployments and inform product roadmap priorities.
You may thrive in this role if you:
Have 5+ years of customer-facing technical delivery, technical program management, deployment, consulting, solutions engineering, or implementation leadership experience.
Have led complex, ambiguous, cross-functional technical projects where outcomes depended on tight coordination and fast decision making.
Are technically fluent enough to pressure-test architectures, integration plans, data and workflow constraints, and production readiness without needing to be the deepest engineer in every domain.
Move fluidly between system-level strategy and execution-level detail, from executive objectives to ticket-level dependencies.
Communicate clearly with business leaders, technical teams, and customer stakeholders, especially when tradeoffs involve risk, scope, speed, or adoption.
Bring strong customer empathy and are willing to spend time onsite with customers when it accelerates delivery and trust.
Have practical interest or experience in AI/LLM systems and are eager to learn solution patterns, evaluation practices, and production pitfalls.
Operate well in high-ambiguity environments and bring enough structure to make complex work simple, visible, and shippable.