Infrastructure TPM: Scale, Reliability & AI Tools

Anthropic

San Francisco (CA)

On-site

USD 290,000 - 365,000

Full time

14 days+

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Job summary

Anthropic is seeking a Technical Program Manager for Infrastructure in San Francisco, California. This role involves coordinating complex programs across multiple infrastructure domains to ensure seamless operations and security. The ideal candidate will have 5+ years of relevant technical program management experience, deep understanding of infrastructure systems, and the ability to collaborate effectively with various teams.

The position emphasizes improving developer productivity and managing large-scale systems, requiring a passion for AI infrastructure at the forefront of technological advancement.

Qualifications

  • 5+ years of technical program management experience in ML/AI or distributed systems.
  • Ability to engage with engineers and identify technical risks.
  • Experience with infrastructure scaling and developer productivity.

Responsibilities

  • Drive cross-functional programs for developer productivity and CI/CD infrastructure.
  • Establish reliability targets and metrics for infrastructure services.
  • Serve as a bridge between infrastructure teams and product stakeholders.

Skills

Technical program management experience
Understanding of infrastructure systems
Strong stakeholder management
Developer productivity initiatives
Kubernetes expertise
AWS/GCP/Azure experience

Education

Bachelor’s degree or equivalent

Tools

CI/CD systems
Cloud platforms
Observability tooling

Job description

Anthropic is seeking a Technical Program Manager for Infrastructure in San Francisco, California. This role involves coordinating complex programs across multiple infrastructure domains to ensure seamless operations and security. The ideal candidate will have 5+ years of relevant technical program management experience, deep understanding of infrastructure systems, and the ability to collaborate effectively with various teams.

The position emphasizes improving developer productivity and managing large-scale systems, requiring a passion for AI infrastructure at the forefront of technological advancement.

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