Repairs Program Lead - Data Center Operations

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation & parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking a Repairs Lead to define and manage the end-to-end hardware repair program across its growing data center fleet. You will own repair turnaround, manage RMA and reverse logistics, and ensure spare availability to meet SLAs.

You will lead cross-site repair operations, work with OEMs/ODMs, and drive process improvements based on failure trends, aiming to optimize reliability and serviceability across all sites.

Qualifications

• Minimum 8+ years in data center operations or equivalent leadership roles.
• Experience running break-fix programs at large scale across multiple sites.
• Demonstrated track record managing vendors/OEMs/contract workforces to SLA targets.
• Hands-on technical depth in server, network, and rack hardware; capable of auditing repair quality.

Responsibilities

• Define global repair strategy including SLAs, prioritization, escalation, and reporting.
• Own repair turnaround time and backlog across the fleet with telemetry dashboards.
• Develop procedures for triage, break-fix, and return-to-service validation; train site teams.

Skills

Data center operations

Vendor management

Hardware operations

Telemetry data analysis

Leadership

Education

Bachelors degree or equivalent

Tools

Repair program design

OEM/ODM coordination

RMA processes

Spare parts planning

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 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

As a Repairs Lead within the Data Center Infrastructure organization, you will define and manage the end-to-end hardware repair program across Anthropic's growing fleet of data centers. You will be accountable for repair turnaround time and the compute returned to service across every site, covering server, GPU/accelerator, network, and optics break-fix, RMA and reverse logistics with OEMs and ODMs, and the spares and repair inventory that keeps repair SLAs achievable. As a subject matter expert in hardware operations, you will develop scalable repair processes and quality targets, set the standards that site operations partners and repair vendors execute against, and turn failure trends into fixes which are driven upstream with engineering and equipment partners. If you are experienced in at-scale datacenter hardware operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply.

Responsibilities Include

• Define the global repair strategy including repair SLAs, prioritization rules, escalation paths, and reporting methods, and drive standardization across all sites.
• Own repair turnaround time and repair backlog across the fleet evidenced by Anthropic-owned ticket and telemetry dashboards you help develop.
• Author and improve procedures for triage, break-fix, return-to-service validation, and train site operations partners on how to execute them.
• Manage RMA and reverse logistics programs with OEMs, ODMs, and depot repair vendors, including warranty claims, return cycle times, and failure analysis feedback.
• Set spares pool sizing and stocking levels by site and part, in coordination with supply chain and asset management, so that parts availability never gates repair SLAs.
• Analyze failure patterns across sites to identify root causes and drive corrective actions with hardware engineering, suppliers, and site operations owners.
• Lead the operating cadence with vendor and site leads, including weekly repair reviews, scorecards, and business reviews, and drive corrective actions for SLA excursions.
• Communicate repair constraints, risks, and fleet availability impact to engineering and leadership.

You May Be a Good Fit If You

• Have 8+ years of experience in data center operations as a manager, technical lead or related role, including accountability for production availability.
• Can demonstrate a proven track record running break-fix programs at a large scale across multiple sites.
• Have managed vendors, OEMs, or contract workforces to measurable outcomes: SLAs, operational reviews, and corrective action.
• Possess hands‑on technical depth in server, network, and rack‑level hardware, enough to independently verify repair quality and audit vendor claims.
• Have built or substantially improved operational processes.
• Are comfortable working with ticket, telemetry, and inventory data to drive decisions.
• Possess a bachelor's degree in relevant domain or equivalent practical experience.

It’s a Bonus If You Have

• Experience with GPU/accelerator or high‑density liquid‑cooled infrastructure, including tray, cold plate, and manifold‑level repair.
• Experience managing RMA and warranty programs with hyperscale OEMs/ODMs, including failure analysis and supplier quality engagement.
• Experience with spares planning, reverse logistics, or depot repair at data center scale.
• Experience delivering repair outcomes inside partner‑operated or colocation sites where on‑the‑floor operations are staffed via third parties.
• Familiarity with optics and high‑speed interconnect failures.

Annual Salary

$320,000—$405,000 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 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 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.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.