Capacity Deployment Lead - Data Center Operations
Anthropic · Remote-Friendly, United States · Compute · listed September 22, 2026
The shape of it
Seniority
Senior
Experience asked
8+ years
Where
On site
Stated pay
$320,000 – $405,000 USD
Requirements listed
8
Length
1,838 words
In the posting’s own words
As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them.
What it asks for · 8
- Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones.
- Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service.
- Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action.
- Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims.
- Have built or substantially improved operational processes.
- Are comfortable working with schedule, ticket, and telemetry data to drive decisions.
- Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected.
- Possess a bachelor's degree in relevant domain or equivalent practical experience.
Also a plus
- 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.
What the job covers
- Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act.
- Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive.
- Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise.
- Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data.
- Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program.
- Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last.
- Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes.
- Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership.
Degree language
- Possess a bachelor's degree in relevant domain or equivalent practical experience.
Tools and skills named
Models & research
- GPU2×
Security & compliance
- Audit2×
Ways of working
- Technical writing2×
Words the posting leans on
- deployment27×
- site24×
- data16×
- operations14×
- experience12×
- hardware12×
- delivery11×
- network11×
- program9×
- racks9×
- wave9×
- partner8×
- acceptance7×
- platform7×
- capacity6×
- leadership6×
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