Technical Program Manager, Infrastructure

About the role

Anthropic's Infrastructure organization is the engine that powers our mission. We build and operate systems that enable breakthroughs in AI safety research and user interactions with Claude. As a Technical Program Manager for Infrastructure, you'll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact.

Responsibilities

• 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
• 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

Requirements

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: 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

Qualifications

• Deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking
• Strong stakeholder management skills and can build trust with both technical and non-technical partners
• Comfortable navigating competing priorities and using data to drive technical decisions
• Experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling
• Thriving in fast-paced environments and can balance strategic planning with tactical execution
• Obsessed with reliability, scalability, security, and continuous improvement
• A passion for supporting internal partners like research to understand their unique needs
• A passion for 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

Benefits

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary $290,000—$365,000 USD

Schedule

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Pay

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Guidance on Candidates' AI Usage

We have a policy for using AI in our application process. Please review our guidance on candidates' AI usage.