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
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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.
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
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
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