Technical Program Manager, Infrastructure

What you’ll do:

Developer Productivity & Tooling

• Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards
• Coordinate large-scale migrations and platform modernization efforts across engineering teams
• Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements
• Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering

Infrastructure Reliability & Operations

• Drive programs to establish and achieve reliability targets across training infrastructure and production services
• Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively
• Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence

Cross-functional Coordination

• Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences
• Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development
• Drive alignment on priorities and timelines across teams with competing constraints

You May Be a Good Fit If You

• Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems
• Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking
• Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives
• Have strong stakeholder management skills and can build trust with both technical and non-technical partners
• Are comfortable navigating competing priorities and using data to drive technical decisions
• Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling
• Thrive in fast-paced environments and can balance strategic planning with tactical execution
• Are obsessed with reliability, scalability, security, and continuous improvement
• Have a passion for supporting internal partners like research to understand their unique needs
• Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale
• Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters)
• Background working with research teams and translating their needs into concrete technical requirements
• Experience driving adoption of AI tools to improve engineering productivity
• Familiarity with observability tooling and practices

Annual Salary: $290,000 — $365,000 USD