Senior Technical Program Manager - Data Center Infrastructure DeliveryActive$214K–$284K

The opportunity

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers.

What you'll do

  • Own the integrated schedule from site handoff to Operations; break builds: into workstreams with clear owners and milestones, and actively manage the critical path and schedule compression.

  • Drive the delivery sequence from rack requirements to engineering criteria,: design, plan set, permitting, construction, commissioning, and turnover for MW-scale, high-density (including liquid-cooled) capacity.

  • Lead cross-functional execution with Real Estate (site assumptions, fiber,: permit path), Energy and Utilities (interconnection, substation, power delivery), Engineering (requirements in the design and plan set), Procurement (long-lead equipment), Construction Management (GC schedule, field progress, inspections), Commissioning (test plans, acceptance), Operations (staffing, procedures, access), and Security, and Finance (requirements, budget, CapEx), and Legal.

  • Manage risk and governance: maintain risk registers, dependency logs, decision trackers, and schedule variance reports; surface permitting, utility, design, procurement, sequencing, and commissioning risks early.

  • Escalate with facts: status, baseline vs. forecast date, variance, impact, owner, mitigation options, and decision date. Lead schedule recovery when milestones slip.

  • Hold partners accountable to contractual milestones, production and shipping: schedules, and commercial commitments while maintaining productive relationships.

What they're looking for

  • Communicate to leadership through program reviews and concise, high-signal status updates.
  • Deliver clean turnover: define handover criteria and ensure white space, power, cooling, controls, cable pathways, access, and documentation are ready for Network Deployment.
  • Scale the function: build repeatable playbooks, dashboards, and lessons-learned loops across concurrent deployments.
  • Travel (~40%) to sites to validate progress and build partner relationships.