Anthropic is seeking an experienced Technical Program Manager to lead coordination and execution of cloud deployment initiatives for AI models. The role focuses on ensuring seamless collaboration between internal engineering teams and major cloud partners such as Amazon Bedrock, Google Vertex, and Microsoft Foundry. The manager will own launch readiness, technical interfacing, cross‑functional alignment, and executive reporting to drive the execution of technical roadmaps and optimize the company's cloud AI presence. This position offers a chance to shape Anthropic’s growth in the cloud AI market while working at the forefront of AI development.
Technical Program Manager, Cloud Inference at Anthropic
Hybrid - San Francisco, CA, New York City, NY, USA
More jobs at AnthropicSalary
USD 290,000 - 435,000
Requirements
Skills
- Several years of experience in technical program management, with a track record of successfully delivering complex technical programs, preferably involving cloud platforms and AI technologies.
- Strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges.
- Exceptional interpersonal and communication skills, enabling influence without authority and building cross‑organizational support.
- High threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high‑quality execution.
- Ability to thrive in fast‑paced, scaling environments and bring order to chaos.
- Passion for Anthropic's mission and commitment to ensuring AI is developed safely.
- Direct experience with a hyperscaler's managed AI platform — Amazon Bedrock, Google Vertex AI, or Azure AI Foundry — including how partners list, launch, and onboard customers on it.
- Background in ML inference, model serving infrastructure, or accelerator‑based compute.
- Experience owning joint engineering roadmap or dependency tracking, driving incident follow‑through, and converting open issues into a prioritized plan both sides commit to.
- Experience with release engineering, deployment automation, or CI/CD for systems that ship to multiple targets or environments.
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 cross‑functional alignment across internal engineering, product, and go‑to‑market teams to land joint deliverables with the partner.
- Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders.
Technologies
Amazon BedrockGoogle Vertex AIMicrosoft FoundryCloud computing architecturesAI/ML deploymentRelease engineeringDeployment automationCI/CDML inferenceModel serving infrastructureAccelerator‑based compute
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