Technical Program Manager, Infrastructure (AI)

Location: San Francisco, New York City, or Seattle, United States; hybrid attendance required at least 25% of the time

Annual salary: $290,000–$365,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Drive cross-functional programs improving developer environments, CI/CD infrastructure, release processes, and developer productivity.
• Coordinate large-scale infrastructure migrations and platform modernization across engineering teams.
• Establish reliability targets, incident response improvements, post-mortem processes, on-call practices, and infrastructure health dashboards.
• Coordinate infrastructure, research, and product teams while translating technical complexity into clear updates and requirements.
• Align priorities and timelines across teams with competing constraints.
• Lead initiatives integrating AI tools into research and engineering workflows.

Requirements

• 5+ years of technical program management experience delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems.
• Deep technical understanding of infrastructure systems, including the ability to identify technical risks and engage substantively with engineers.
• Experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling.
• Experience with Kubernetes, cloud platforms such as AWS, GCP, or Azure, and ML infrastructure including GPU, TPU, or Trainium clusters.
• Familiarity with observability tooling and practices, stakeholder management, data-driven decision-making, and cross-functional coordination.
• Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

• Experience working with research teams and translating their needs into concrete technical requirements.
• Experience driving adoption of AI tools to improve engineering productivity.

Culture & Benefits

• Collaborative environment focused on large-scale AI research and long-term impact.
• Flexible working hours and office-based collaboration.
• Generous vacation and parental leave.
• Competitive compensation and optional equity donation matching.
• Visa sponsorship is available, subject to role and candidate eligibility.