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Technical Program Manager, Cloud Inference

Anthropic
Hybrid - San Francisco, CA or New York City, NY, at least 25% in officeUpdated 1d ago
Compensation
$290k–$435k
Published range · Top quartile for Engineering (545 listings)
Location
Hybrid - San Francisco, CA or New York City, NY, at least 25% in office
Remote eligibility
Employment
Full-time
Mid-level
Role family
Engineering
AI / ML
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About the job

Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems. We are seeking an experienced Technical Program Manager to support our critical cloud deployments, driving coordination across engineering teams and with major cloud partners including Amazon Bedrock, Google Vertex, and Microsoft Foundry.

Responsibilities

  • Partner with engineering leaders to define, scope, and sequence major technical initiatives for cloud partnerships and AI model deployment.
  • Own launch readiness for Claude models on partner cloud platforms, including checklist, blocker tracking, joint go/no-go, and post-launch stability.
  • Act as the primary technical interface to cloud partner engineering orgs, owning the relationship, shared roadmap, and day-to-day coordination.
  • Drive cross-functional alignment across internal engineering, product, and go-to-market teams.
  • Provide clear and transparent reporting on program status, issues, and risks to executives and stakeholders.

Qualifications

  • Several years of experience in technical program management, preferably involving cloud platforms and AI technologies.
  • Strong understanding of cloud computing architectures, AI/ML deployment, and integration challenges.
  • Exceptional interpersonal and communication skills.
  • High threshold for navigating ambiguity and ability to balance strategic priorities with rapid execution.
  • Passion for Anthropic's mission and commitment to AI safety.

Strong candidates may also have

  • 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.
  • 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

Logistics

Minimum education: Bachelor’s degree or equivalent. Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship is available.

Skills & tags

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