Capacity Deployment Lead - Data Center Operations

Location: Remote-friendly within the United States; staff are expected to work from an Anthropic office at least 25% of the time. The role requires 50%+ travel and extended on-site work at data centers.

Annual salary: $320,000–$405,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial.

What you will do

• Own deployment outcomes for assigned data-center sites, capacity units, and data-hall waves.
• Confirm readiness across floor access, power, network, receiving paths, and partner staffing before hardware arrives.
• Lead on-site delivery, receiving, integration QA, power-on, network turn-up, burn-in, and validation.
• Set execution priorities and quality gates with hardware vendors, site leaders, and operations partners.
• Validate acceptance criteria, documentation, spares, ticketing, and handover into production operations and maintenance.
• Convert deployment lessons into procedures, checklists, standards, metrics, and program-wide improvements.

Requirements

• 8+ years of experience in data center operations or hardware deployment, including accountability for delivery milestones.
• Proven experience leading large-scale compute or network hardware deployments across multiple sites or data-hall waves.
• Experience managing vendors, OEMs, or contract workforces against milestones, quality gates, reviews, and corrective actions.
• Hands-on technical depth in server, network, and rack-level hardware, with the ability to audit deployment quality.
• Experience improving operational processes and using schedule, ticket, and telemetry data for decisions.
• Bachelor’s degree in a relevant field or equivalent practical experience; heavy travel and extended on-site work are required.

Nice to have

• Experience with GPUs, accelerators, high-density liquid-cooled infrastructure, or liquid-cooled rack bring-up.
• Experience launching operations at new sites or data halls and introducing new accelerator platforms.
• Experience working in partner-operated or colocation data centers.
• Familiarity with dense accelerator cabling, optics, and high-speed rack- or pod-scale interconnects.

Culture & Benefits

• Collaborative environment focused on large-scale AI research and trustworthy AI systems.
• Flexible working hours and an office environment for collaboration.
• Generous vacation and parental leave.
• Competitive compensation, benefits, and optional equity donation matching.
• Visa sponsorship is available, subject to role and candidate eligibility.