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AnthropicAnthropicSan Francisco, CA

Technical Program Manager, Cloud Inference

Drives coordination across engineering teams and cloud partners (Amazon Bedrock, Google Vertex, Microsoft Foundry) for AI model deployments. Owns technical roadmaps, launch readiness, and cross-functional alignment in fast-paced AI environment. Requires TPM experience with cloud/AI tech.

290k – 435k
HybridTechnical Program Management

About the role

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.

Requirements

  • 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 you to influence without authority and build cross-organizational support.
  • High threshold for navigating ambiguity and ability to balance strategic priorities with rapid, high-quality execution.
  • Thrive in fast-paced, scaling environments with the ability to bring order to chaos.

Nice-to-Haves

  • 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.
  • Owned 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.

Compensation

  • Annual Salary: $290,000—$435,000 USD

Skills

Amazon BedrockGoogle Vertex AiAzure Ai FoundryCloud ComputingAi/Ml DeploymentMl InferenceModel ServingCI/CDRelease EngineeringDeployment Automation

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