Technical Program Manager, Infrastructure
Coordinates complex infrastructure programs across developer productivity, reliability, and cross-functional teams at Anthropic, driving scaling, security, and AI research support. Requires 5+ years TPM experience in ML/AI or distributed systems with deep technical knowledge.
About the job
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
Skills
Kubernetes, AWS, GCP, Azure, CI/CD, ML Infrastructure, Gpu Clusters, Tpu, Trainium, Observability
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