Technical Program Manager, Infrastructure

SignalAI; New York (NY); Hybrid; USD 290,000 - 365,000; Full time

Job summary

Anthropic is seeking a Technical Program Manager for Infrastructure to coordinate cross-functional programs spanning training infrastructure, production services, and developer platforms.

You will partner with research, engineering, and product teams to improve reliability, scale systems, and adopt AI tooling, while leading incident response improvements and measuring key metrics.

Qualifications

• 5+ years of technical program management experience delivering complex infrastructure programs in ML/AI or large-scale distributed systems.
• Deep technical understanding of infrastructure systems to engage with engineers and identify risks.
• Experience with developer productivity initiatives and CI/CD.
• Familiarity with observability tooling and practices.

Responsibilities

• Lead cross-functional programs spanning training infrastructure, production services, and developer platforms.
• Coordinate large-scale migrations and platform modernization efforts.
• Drive reliability targets, incident response improvements, and postmortems.
• Bridge infrastructure with research and product teams, translating complex tech into clear updates.

Skills

Technical PM

Infrastructure

Kubernetes

Cloud platforms

Observability

Stakeholder mgmt

Education

Bachelor's degree

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things.

As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands.

This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams.

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

Deadline to Apply:

None, applications will be received on a rolling basis.

Annual Salary

$290,000 - $365,000 USD

Logistics

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:

Years of experience required will correlate with the internal job level requirements for the position

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.

Visa sponsorship:

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.

We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic