OpenAI
Technology
Manager,PartnerAIDeploymentEngineering-AWS
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“Manager, Partner AI Deployment Engineering - AWS at OpenAI. Skills: AI Deployment Engineering, AWS Partnerships, Generative AI, Cloud Architecture. Lead AI Deployment Engineers. Mentor AI Deployment Engineers”
What You'll Achieve.
Production deployments; Partner technical maturity; API adoption growth; Team development; Impact of AWS ecosystem
Industry & Context.
Navigate ambiguity; Drive successful outcomes
3 days in office
What They're Looking For.
Must Have
8+ years technical customer-facing roles, 3+ years leading technical teams, Hands-on experience deploying Generative AI, Hands-on experience deploying traditional ML systems, Knowledge of AWS cloud infrastructure, Knowledge of modern cloud-native architectures, Experience working with cloud ecosystem partners, Experience working with systems integrators, Experience working with consultancies, Experience working with technical alliance organizations, Technical depth in software engineering, Technical depth in solution development, Comfort balancing strategic leadership, Comfort with hands-on technical engagement, Comfort with operational execution, Effective communicator, Sense of ownership, Sense of humility, Sense of curiosity, Willingness to learn quickly, Willingness to help others succeed
Nice to Have
AWS certification preferred, Kubernetes experience a plus
What You'll Do.
Lead AI Deployment Engineers
Mentor AI Deployment Engineers
Grow AI Deployment Engineers
Support AWS partner engagements
Support customer deployments
Define operating model
Define engagement strategy
Define technical priorities
Partner with AWS leadership
Partner with solution architects
Partner with delivery organizations
Partner with customer stakeholders
Accelerate production adoption
Guide through generative AI deployments
Guide through traditional ML deployments
Conduct architecture reviews
Address security considerations
Develop evaluation strategies
Ensure operational readiness
Serve as technical escalation point
Drive successful outcomes
Collaborate with Product teams
Collaborate with Research teams
Collaborate with Engineering teams
Synthesize partner feedback
Develop deployment best practices
Develop scalable enablement frameworks
Develop reference architectures
Develop repeatable deployment patterns
Improve partner effectiveness
Reduce time-to-production
Drive operational excellence
Act as external thought leader
How You'll Work.
Team & Collaboration
Cross-functional teams; Internal stakeholders; External stakeholders; Sales teams; Partnerships teams; Product teams; Research teams; Engineering teams; AWS partner leadership; Customer stakeholders
Communication Scope
Translate technical concepts; Business outcomes communication
Process & Methodology
Resource planning, Prioritization
Full Job Description
About the team The AI Deployment Engineering (ADE) team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact GenAI use cases and driving them into production through strong architectural guidance and hands-on execution. The Partner ADE organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful deployments of OpenAI technologies. As the leader of the AWS Partner ADE pod, you will manage a team of AI Deployment Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner AI Deployment Engineering – AWS to lead a team of AI Deployment Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help scale repeatable deployment motions. Your team will guide partners and customers through the full AI implementation lifecycle—from solution design and architecture reviews through production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering teams to ensure the voice of partners and customers informs our platform roadmap and deployment strategy. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance
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