Repairs Program Lead Data Center Operations
San Francisco, CA - USA
Job Summary
Anthropics 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.
As a Repairs Lead within the Data Center Infrastructure organization you will define and manage the end-to-end hardware repair program across Anthropics 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.
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.
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 bachelors degree in relevant domain or equivalent practical experience.
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.
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles 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:
$320000 - $405000 USD
Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
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. Were 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.
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 aboutour policy for using AI in our application process.
Required Experience:
Senior IC
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.