Technical Program Manager, Inference Performance na Anthropic

Híbrido - San Francisco, CA

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Join Anthropic as a Technical Program Manager for Inference to drive strategic initiatives, coordinate cross‑functional teams, optimize performance, and ensure reliable deployments across hardware platforms.

Salary

USD 290,000 - 365,000

Requirements

Skills

  • Several years of experience in technical program management with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large‑scale distributed systems
  • Deep technical understanding of inference systems, compilers, or hardware accelerators
  • Ability to create structure and processes in ambiguous environments, bringing clarity to complex cross‑team initiatives
  • Strong stakeholder management skills and ability to build trust with both technical and non‑technical partners
  • Comfortable navigating competing priorities and using data to drive technical decisions
  • Experience with infrastructure scaling initiatives, hardware integrations, or deployment governance
  • Passion for AI infrastructure and understanding of challenges in deploying and scaling large language models
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience

Responsibilities

  • Lead cross‑functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams
  • Drive end‑to‑end planning for major infrastructure transitions including platform modernization and new tech adoption
  • Partner with engineering teams to identify optimization opportunities, track performance metrics, and prioritize work that unlocks capacity gains
  • Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability
  • Drive end‑to‑end readiness for model and feature launches across multiple hardware platforms
  • Establish processes for cross‑platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams
  • Own and prioritize the inference deployment roadmap, working closely with engineering leadership to prioritize initiatives and manage dependencies
  • Provide visibility into upcoming changes and their organizational impact
  • Build strong relationships across research, engineering, and product teams to understand requirements and constraints
  • Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines
  • Identify inefficiencies in current workflows and drive systematic improvements
  • Establish metrics and dashboards to track infrastructure health, capacity utilization, and deployment success rates

Technologies

Inference systemsCompilersHardware acceleratorsML/AI systemsLarge‑scale distributed systemsInference runtimeAccelerator performance

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