Capacity Deployment Lead - Data Center Operations
Friendly · Friendly US (Travel Required) · USD 320,000-405,000 / year · 8+ years experience · Remote · Posted Sep 22, 2026
At a glance
- Experience
- 8+ years experience
- Workplace
- Remote
- Location
- Friendly · Friendly US (Travel Required)
- Salary
- USD 320,000-405,000 / year · Base salary
- Visa sponsorship
- Visa sponsorship available
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 Capacity Deployment Lead within Anthropic's Data Center Operations organization, you will support and scale how new compute capacity comes online across partner-operated data centers.
- This is a program and execution role focused on compute infrastructure, accelerator systems, racks, and surrounding environments from construction kickoff to ready for service.
- You will work closely with hardware vendors, operations partners, and internal teams while engaging in heavy on-site travel to ensure successful infrastructure delivery and structured handover.
Responsibilities
- Own deployment outcomes for assigned sites and data-hall waves, ensuring capacity units and ready-for-service dates are met.
- Engage from construction kickoff and confirm deployment readiness ahead of each wave including floor access, power, network, and receiving paths.
- Be on site at key points before and during delivery, deployment, QA, and close-out to verify work directly.
- Work with partner site leadership to manage rack delivery, receiving, integration QA, power-on, network turn-up, and burn-in validation.
- Validate handover gates for each capacity unit and data hall to ensure acceptance criteria and documentation are met.
- Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements and procedures.
- Extend the deployment program to new sites and platforms while adapting standards as hardware changes.
- Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, schedule owners, and leadership.
Requirements
- 8+ years of experience in data center operations or hardware deployment as a manager, technical lead, or related role with accountability for delivery milestones.
- Proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves.
- Experience managing vendors, OEMs, or contract workforces to measurable outcomes like milestones, quality gates, and operational reviews.
- Hands-on technical depth in server, network, and rack-level hardware to independently verify deployment quality and audit vendor claims.
- Experience building or substantially improving operational processes.
- Comfort working with schedule, ticket, and telemetry data to drive decisions.
- Ability to travel heavily (50% expected) and work on site for extended stretches during delivery surges and turn-up windows.
- Bachelor's degree in a relevant domain or equivalent practical experience.
Preferred qualifications
- Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks.
- Experience standing up operations at a new site or data hall from commissioning handoff through first deployment.
- Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program.
- Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties.
- Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale.
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation
- Generous parental leave
- Flexible working hours
Workplace
- Travel required at 50%+ expected.
- Location-based hybrid policy requiring staff to be in an office at least 25% of the time, though some roles may require more.
Skills
- Accelerator Systems
- Network Hardware
- Rack-level Hardware
- Accelerator Network Cabling
- Optics
- High-speed Interconnect
- Liquid-cooled Infrastructure