Network Infra Capacity Delivery Program Manager

Amazon Inc.; Seattle (WA); On-site; USD 127,000 - 172,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Data Services, Inc. is seeking a Tech Infra Program Manager to own end-to-end delivery of network infrastructure at scale—from customer demand signal to site landing.

You will drive cross-functional execution across procurement, manufacturing, logistics and network deployment to ensure on-time capacity delivery. You’ll lead through ambiguity, build clear delivery mechanisms, and surface risks before they become blockers, partnering with data engineering to scale insights and automate

Qualifications

• 3+ years of technical infrastructure management experience.
• 3+ years of experience managing programs or projects across cross-functional teams.
• Knowledge of best practices and emerging technologies related to infrastructure.

Responsibilities

• Drive delivery performance across network rack demand streams from order through site installation.
• Own stakeholder communication for delivery status, risks, and blockers — proactively surfacing issues before they become escalations.
• Manage cross-functional dependencies across procurement, manufacturing, logistics, construction, and network deployment teams.
• Build and maintain mechanisms (dashboards, WBRs, escalation paths, SOPs) that make delivery health visible and actionable.
• Identify systemic bottlenecks and drive structural improvements.
• Partner with automation and data engineering teams to scale delivery insights through tooling.

Skills

Program management

Cross-functional collaboration

Data-driven decisions

Written communication

Job description

Amazon Data Services, Inc. is seeking a Tech Infra Program Manager to own end-to-end delivery of network infrastructure at scale—from customer demand signal to site landing.

You will drive cross-functional execution across procurement, manufacturing, logistics and network deployment to ensure on-time capacity delivery. You’ll lead through ambiguity, build clear delivery mechanisms, and surface risks before they become blockers, partnering with data engineering to scale insights and automate