Technical Program Manager, Cloud Inference
Anthropic · San Francisco, CA | New York City, NY
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are seeking an experienced Technical Program Manager to support our critical cloud deployments. In this role you will be an execution owner, driving coordination and collaboration across multiple engineering teams. You will also support the collaboration and technical execution between our internal engineering teams and our major cloud partners including Amazon Bedrock, Google Vertex, and Microsoft Foundry. Your primary focus will be on ensuring tight coordination on engineering deliverables both within our internal teams and between our partner teams, enabling repeatable and efficient product development and launch pipelines for our AI models on third-party platforms. You will be responsible for aligning a range of business and technical stakeholders to drive execution of technical roadmaps, with a particular emphasis on optimizing our presence and performance. This position offers the opportunity to make a significant impact on Anthropic's growth and success in the cloud AI market, while working at the forefront of AI development and innovation. Responsibilities Partner with engineering leaders to define, scope, and sequence major technical initiatives for cloud partnerships and AI model deployment, and own the plans, timelines, and resourcing to land them. Own launch readiness for Claude models on partner cloud platforms: checklist, blocker tracking, joint go/no-go with the partner, and post-launch stability follow-through. Act as the primary technical interface to cloud partner engineering orgs — owning the relationship, the shared roadmap, and day-to-day coordination on deployment, capacity, and incidents. Drive