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, and supporting the collaboration and technical execution between our internal engineering teams and 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. 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.
Technical Program Manager, Cloud Inference at Anthropic
Hybrid - San Francisco, CA, 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 balancing strategic priorities with rapid, high-quality execution
- thriving in fast-paced, scaling environments with the ability to 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)
- background in ML inference, model serving infrastructure, or accelerator-based compute
- ownership of joint engineering roadmaps 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, owning the plans, timelines, and resourcing to land them
- own launch readiness for Claude models on partner cloud platforms, managing 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, 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 deploymentdeployment automationCI/CDrelease engineeringML inferencemodel serving infrastructureaccelerator-based compute
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