Network Engineering Manager

Own full lifecycle delivery of network infrastructure projects, from planning and design alignment to production rollout and post-deployment validation

Drive structured execution across defined delivery stages, ensuring clear milestones, risk mitigation, and dependency management

Coordinate cross-functional teams including network engineering, systems, data center operations, and hardware stakeholders

Translate network architecture and stack requirements into actionable project plans with measurable outcomes

Identify and proactively resolve delivery risks, technical blockers, and resource constraints

Ensure network deployments meet scalability, reliability, and performance standards required for AI and GPU-dense environments

Track progress, report status to leadership, and maintain transparency across technical and executive stakeholders

Leverage automation and AI-driven tools to improve planning accuracy, operational visibility, and execution efficiency

Influence cross-team priorities to maintain alignment with infrastructure roadmap and production needs

Proven experience in technical project or program management within network infrastructure environments

Strong understanding of network organization, architecture, and stack components (routing, switching, transport, data center networking)

Demonstrated ability to manage structured delivery stages across complex technical initiatives

Experience working in infrastructure-heavy or production environments with high reliability requirements

Strong leadership and influence skills across technical and cross-functional teams

Proactive execution mindset with ownership-driven approach to delivery

Ability to identify risks early and drive resolution through structured coordination

Experience managing network projects in large-scale data center or AI infrastructure environments

Familiarity with automation frameworks and AI-driven operational tools

Exposure to bare-metal provisioning workflows or close-to-the-metal infrastructure environments

Experience working with GPU-dense clusters or high-performance networking technologies

Remote role within the United States

Full-time position