Manager, AI Deployment Engineering - Enterprise
Application analysis
Manager, AI Deployment Engineering - Enterprise at OpenAI is a forward deployed ai research lab role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: Senior scope.
About OpenAI
OpenAI ships frontier models to real customers through small, high-trust engineering teams. Forward deployed roles sit between product, research, and enterprise buyers. The role is anchored in New York City, so expect on-site customer work in that region.
Signals in the listing
Stand out for Manager, AI Deployment Engineering - Enterprise
- Lead your application with one paragraph tying Manager, AI Deployment Engineering - Enterprise to a specific customer or deployment you owned — OpenAI hires for shipped outcomes, not tool lists.
- Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
- Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
- This role is tied to New York City — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at OpenAI
- Demonstrate customer obsession with safety constraints with a concrete example — OpenAI will probe for specifics, not buzzwords.
- Demonstrate writing and communication with a concrete example — OpenAI will probe for specifics, not buzzwords.
- Interview loops emphasize problem decomposition, taste in product, and whether you can earn trust with technical and non-technical stakeholders quickly.
- Read recent engineering blog posts, product launches, and customer stories on openai.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
ABOUT THE TEAM The Technical Success team is responsible for helping OpenAI’s customers realize meaningful and sustained value from our technology. We partner closely with customers throughout their deployment journey, helping them move from initial exploration to production applications and broader organizational adoption. The Enterprise AI Deployment Engineering team supports complex organizations across Professional Services, Media and Entertainment, Telecommunications, and Private Equity. These customers operate in varied environments—from global consulting and legal organizations to consumer media platforms, telecommunications providers, and private equity portfolios—but share a need to deploy AI securely, reliably, and at scale. AI Deployment Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They bring deep technical judgment, strong customer instincts, and the ability to translate frontier model capabilities into durable business outcomes. ABOUT THE ROLE We are seeking a Manager to build, lead, and develop a team of AI Deployment Engineers supporting OpenAI’s Enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful deployments across business units and workflows. This role requires a combination of technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and partnering with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how OpenAI serves enterprise customers at scale. This i