OpenAI

Technology

AIDeploymentEngineeringManager,Startups

S$215–315k ~AI est. Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“AI Deployment Engineering Manager, Startups at OpenAI. Skills: AI Deployment, Team Leadership, Startup Operations. Craft strategic vision. Refine operating model”

What You'll Achieve.

Increased startup account usage; Successful customer sprints; Production-oriented engagements; High-quality customer stories; Founder satisfaction; CTO satisfaction; Referenceable startup wins; Repeatable deployment patterns; Starter packs; Templates; Reference architectures; Feedback loops informed; Healthy team; High-performing team; Scaled coverage

Industry & Context.

Technology
Problems you'll solve

Hands-on problem-solving; Practical problem-solving

What They're Looking For.

Must Have

Technical leadership roles, Customer outcomes ownership, Technical execution ownership, Technical, customer-facing teams, High-growth environments, Startup-heavy environments, APIs, Platform products, AI/ML systems, Developer workflows, Production deployment considerations, Scalable operating models, Founders, CTOs, Technical executives, Highly technical ICs, Customer judgment, Prioritization, Executive communication, Cross-functional partnership

Nice to Have

Experience founding startups, Experience scaling startups, Experience operating startups

What You'll Do.

Craft strategic vision

Refine operating model

Align with objectives

Support startup customers

Help startups move to production

Identify technical blockers

Advise on architecture

Drive paths to deployment

Accelerate production usage

Accelerate account growth

Represent technical voice

Translate needs into playbooks

Develop reference architectures

Build internal tooling

Create customer-facing assets

Serve as escalation point

Balance customer needs

Balance platform priorities

Improve startup support

Support scaled production

How You'll Work.

Team & Collaboration

Cross-functional influence; Sales; Product; Engineering; Research; Go-to-market teams; GTM teams

Communication Scope

Executive communication; Customer communication

Process & Methodology

Roadmap changes

Full Job Description

About the Team The AI Deployment Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI. The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership. About the Role We are looking for an AI Deployment Engineering Manager, Startups 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. This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams. 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. In This Role, You Will - Craft and continuously refine the strategic vision and operating model for the Startups AI Deployment Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers. - Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies. - Help startups

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