Inference Performance TPM — Lead ML Infra Deployments

Anthropic

San Francisco (CA)

Hybrid

USD 290,000 - 365,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Generous vacation
Parental leave
Flexible working hours

Job summary

A leading AI research firm in San Francisco is seeking a Technical Program Manager for Inference to bridge inference systems and organizational initiatives. Key responsibilities include driving strategic projects, optimizing performance, and managing stakeholder communication. Candidates should possess several years of relevant experience in technical program management, with a deep understanding of AI systems. This role offers competitive salary ranging from $290,000 to $365,000, along with comprehensive benefits and a hybrid working model.

Qualifications

  • Several years of experience in technical program management, preferably in ML/AI systems.
  • Deep technical understanding of inference systems, compilers, or hardware accelerators.
  • Ability to navigate competing priorities and drive technical decisions.

Responsibilities

  • Lead cross-functional initiatives for new infrastructure integration.
  • Partner with engineering teams to identify optimization opportunities.
  • Coordinate model and feature launches across multiple hardware platforms.
  • Prioritize the inference deployment roadmap.

Skills

Technical program management
Stakeholder management
Infrastructure scaling
Data-driven decision making
Cross-functional team leadership

Education

Bachelor's degree in a related field

Job description

A leading AI research firm in San Francisco is seeking a Technical Program Manager for Inference to bridge inference systems and organizational initiatives. Key responsibilities include driving strategic projects, optimizing performance, and managing stakeholder communication. Candidates should possess several years of relevant experience in technical program management, with a deep understanding of AI systems. This role offers competitive salary ranging from $290,000 to $365,000, along with comprehensive benefits and a hybrid working model.
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