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Overview
OpenAI is seeking a Manager for Partner Applied AI Engineering (AWS) to lead a team focused on enabling AWS-aligned partners to build and operationalize AI applications on OpenAI’s platform. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
What you'll do
- •Lead, mentor, and grow a team of Applied AI Engineers supporting strategic AWS partner engagements and customer deployments.
- •Define the operating model, engagement strategy, and technical priorities for the AWS Partner AAE pod.
- •Partner closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to identify high-impact AI opportunities and accelerate production adoption of OpenAI technologies.
- •Guide teams through complex generative AI and traditional ML implementations, including use case shaping, architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness.
- •Serve as a senior technical escalation point for critical partner and customer engagements, helping teams navigate ambiguity, make sound technical decisions, and drive successful outcomes.
- •Collaborate with Product, Research, and Engineering teams to synthesize partner and customer feedback into platform improvements, tooling enhancements, and applied AI best practices.
- •Develop scalable enablement frameworks, reference architectures, and repeatable implementation patterns that improve partner effectiveness and reduce time-to-production.
- •Drive operational excellence across the team, including resource planning, prioritization, hiring, onboarding, performance management, and career development.
- •Act as an external thought leader on applied AI, cloud-native AI architectures, and responsible AI adoption within the AWS ecosystem.
Conditions
- •Hybrid work model of 3 days in the office per week.
- •Relocation assistance to new employees.