
Data Center Operations Lead - Partner Site Operations
Job description
Data Center Operations Lead - Partner Site Operations
Remote-Friendly (Travel Required) | San Francisco, CA
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 Data Center Operations (DCO) team ensures compute fleet availability through hardware and IT operations. At our partner-operated sites, this role manages the interface between Anthropic and the strategic site operations partner performing day-to-day data hall work.
As the site lead, you own site outcomes for your assigned sites including: deployment velocity, availability, and incident response. Rather than managing operations staff directly, you provide tactical direction, set priorities, and define the standards for the vendor's on-site teams, paired with performance oversight and ongoing operational assessment to ensure all operational commitments are met.
You will define the operational processes, quality gates, and governance rhythms for partner-operated sites. Expect to build the playbook as much as you run it, not just at a site level, but defining and developing program improvements fleet-wide.
Responsibilities
- Operational outcomes. Own site availability, deployment milestones, and repair turnaround, verified with independent data rather than vendor self-reporting.
- Vendor direction. Set daily and weekly priorities and lead the operating cadence, including standups and business reviews.
- Process definition. Author and improve procedures for deployment, break-fix, change management, security, and EHS compliance. Analyze operational trends and standardize lessons across the program.
- Performance management. Track vendor performance against SLAs and staffing commitments, driving corrective actions when necessary.
- Incident response and on-call. Participate in the incident escalation on-call rotation. When designated Anthropic Incident Commander for a site-specific incident, direct vendor response, own communications, and close out post-incident actions.
- Internal interface. Translate engineering requirements into vendor direction and communicate site constraints and risks to leadership.
Representative Work
- Leading weekly operations reviews and scorecards with vendor site leads.
- Directing deployment surges to meet first-compute-online milestones.
- Analyzing failure patterns to identify root causes and driving fixes with owners.
- Creating break-fix ownership matrices and training vendor teams.
- Serving as Incident Commander for facility events and producing post-mortems.
- Establishing operational readiness for new data halls, including spares and security.
- Identifying process gaps and codifying improvements as program standards.
Requirements
- Experience. 8+ years of experience in data center operations (hardware, IT infrastructure, or critical facilities) as a manager, technical lead, or related role, including accountability for production availability.
- Vendor Management. Managed vendors, MSPs, or contract workforces to measurable outcomes: SOWs, SLAs, operational reviews, and corrective action.
- Technical Depth. Hands-on technical depth in server, network, and rack-level infrastructure, enough to independently verify vendor claims and audit quality.
- Process Improvement. Built or substantially improved operational processes, not just run them.
- Incident Command. Served in an incident command or lead-responder role and communicate clearly under ambiguity.
- Availability. Can support non-standard hours, including an on-call rotation and availability during deployment surges and maintenance windows.
- Education. Bachelor's degree in a relevant domain or equivalent practical experience.
Nice to Have
- Colocation Experience. Experience with third-party colocation providers or partner-operated sites, delivering IT operations outcomes inside a facility someone else runs.
- New Site Setup. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment.
- GPU/Accelerator Infrastructure. Experience with GPU/accelerator or high-density liquid-cooled infrastructure.
- Multi-Vendor Site Management. Familiarity with multi-vendor sites where facilities and IT operations are performed by different partners.
- Project Leadership. Experience leading projects from initiation to completion across teams you didn't own.
- Incident Management. Background in incident management frameworks, contract/SLA design, or EHS programs.
We Offer
- Competitive Salary. Annual Salary: $320,000-$405,000 USD
- Hybrid Work 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 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.
- Inclusive Culture. 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.
About the Company
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.
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.
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.
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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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