Project Manager, Cluster Deployment

Project Manager, Cluster Deployment

Location:

Pleasanton, CA (Hybrid) or Remote with Travel

Reports To:

Project Management Operations

At STN
, we don't just adapt to the digital future, we engineer it. Our mission is to help organizations thrive in a rapidly evolving technology landscape through strategic insight, cutting‑edge solutions, and a security‑first mindset. We provide end‑to‑end services spanning cloud consulting, AI infrastructure, and enterprise security, enabling secure, scalable, and future‑ready transformation.

As trusted advisors, we align IT investments with business outcomes that drive performance and growth, starting with deep strategic engagement and delivering tailored solutions built for long‑term impact.

Our approach is innovation‑led and rooted in cybersecurity, with a focus on leveraging the right technologies to solve real‑world challenges. We invest in our people and foster a culture of growth, inclusion, and purpose because we believe empowered teams build transformative technology.

Overview
The Project Manager, Cluster Deployment owns end‑to‑end delivery of STN's GPU cluster builds across colocation and modular data center (MDC) sites. This role drives schedule, scope, budget, and quality from contract execution through customer go‑live, coordinating across architecture, supply chain, vendors, colocation partners, and customer technical teams. Initial assignments include GPUaaS deployments for enterprise AI customers and multi‑site MDC builds (TX, MO, SC).

Deployment Execution

• Own the master project plan, RAID log, and critical path for each cluster deployment from PO through customer acceptance
• Drive site readiness across power, cooling, structured cabling, network, and physical security
• Manage hardware logistics: GPU/server/networking receipt, staging, rack‑and‑stack, burn‑in, and acceptance testing
• Coordinate cross‑functional teams across Architecture, Engineering, Managed Services, and Field Operations

Vendor and Partner Management

• Manage MDC, EPC, OEM, and colocation vendor schedules and deliverables (e.g., Mod
  42, Collier, Core Site, Equinix)
• Run weekly vendor scorecards; escalate slips, change orders, and dependency risks
• Coordinate freight, cargo insurance, customs (where applicable), and high‑value GPU shipment receiving

Customer delivery

• Serve as primary technical PM interface to customers from kickoff through go‑live and handoff to CSM
• Maintain customer‑facing schedules, status reports, and milestone communications
• Coordinate acceptance testing, SLA baseline validation, and project closeout documentation

Financial and contractual

• Track project budget, capex/opex burn, vendor invoicing, and milestone‑based payments against the service order or MSA
• Flag scope changes and drive change‑order process with Sales, Legal, and Finance
• Partner with Finance on revenue recognition triggers (deposit, MRC start, true‑up)

Governance and reporting

• Produce weekly executive status (Sabur/Tom/Armar) and customer status reports
• Maintain deployment runbooks, lessons learned, and template artifacts to scale future builds

Required

• 5+ years PM experience delivering data center, colocation, or large‑scale infrastructure projects
• Demonstrated ownership of multi‑million dollar deployments with vendor, customer, and internal stakeholder coordination
• Strong working knowledge of data center physical infrastructure (power, cooling, cabling, racks) and IT infrastructure (compute, storage, networking)
• Proficient with project tooling (MS Project, Smartsheet, Asana, or equivalent) and standard collaboration stack (M365, Slack)
• Excellent written communication; comfortable producing exec‑ready status and customer‑facing updates

Preferred

• Direct experience deploying GPU clusters (NVIDIA HGX/DGX, B200/B300/GB300) or HPC/AI infrastructure
• Experience with modular data center (MDC) builds or greenfield site delivery
• Familiarity with Infini Band/RoCE fabrics, liquid cooling, and high‑density power designs
• PMP, PRINCE2, or equivalent certification
• Background working with hyperscaler, AI lab, or enterprise AI customers

• On‑time go‑live across assigned…