Description
We are looking for an experienced AI Deployment Engineering Manager to lead and scale the Startups AI Deployment Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI.
As a leader in this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus.
Key responsibilities include:
- Crafting and continuously refining the strategic vision and operating model for the Startups AI Deployment Engineering team
- Leading, mentoring, and growing a team of high-performing technical ICs supporting startup customers
- Helping startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment
- Partnering closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth
- Representing the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases
Success in this role may look like increased startup account usage, a strong cadence of successful customer sprints and production-oriented technical engagements, high-quality customer stories, and the creation of repeatable startup deployment patterns.
Experience in founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution, is a must. Strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations is also essential.