Top Program and Project Management Jobs in New York City, NY

One Month AgoSaved
In-Office
2 Locations
149K-198K Annually
Senior level
149K-198K Annually
Senior level
Cloud • Information Technology • Machine Learning
Owns high-priority, cross-functional initiatives from problem definition through implementation and measurement. Responsibilities include strategic analysis, research, executive communications, end-to-end project management, PMO oversight, risk identification, stakeholder coordination, process improvement, and decision support. The role operates as an internal consulting function supporting executives and business teams across initiatives such as IPO preparation, M&A integration, product development, communications, and change management.
Top Skills: Cloud ServicesDigital InfrastructureExcelMicrosoft Office SuiteMicrosoft Powerpoint
One Month AgoSaved
In-Office
New York, NY, USA
157K-210K Annually
Senior level
157K-210K Annually
Senior level
Cloud • Information Technology • Machine Learning
Own fleet-wide reliability and operations programs for a rapidly scaling AI cloud infrastructure platform. Establish reliability metrics, dashboards, OKRs, and success criteria; identify systemic gaps across compute, storage, networking, hardware, firmware, software, and operations; and lead cross-functional initiatives that improve fleet readiness, availability, utilization, and stability. Manage dependencies, risks, incident follow-ups, root cause actions, and executive communications while ensuring improvements scale with fleet growth.
Top Skills: Cloud InfrastructureCompute InfrastructureData Center InfrastructureFirmwareGrafanaNetworkingObservabilityOpentelemetryPrometheusStorage SystemsTelemetry Systems
One Month AgoSaved
In-Office
2 Locations
157K-210K Annually
Senior level
157K-210K Annually
Senior level
Cloud • Information Technology • Machine Learning
Owns end-to-end delivery of data center network infrastructure, including fabric turn-ups, backbone deployments, and peering expansions. Translates capacity forecasts and architecture into technical program requirements, plans, schedules, and dependencies. Leads cross-functional execution across networking, architecture, supply chain, and data center operations; resolves hardware, optics, cabling, and automation issues; reports risks and KPIs to leadership; and establishes scalable deployment processes.
Top Skills: AsanaBackbone NetworksData Center Network ArchitecturesJIRANetwork FabricsNetwork Hardware PlatformsNetwork OpticsOptical TransportPeeringStructured CablingTurn-Up Automation
2 Months AgoSaved
In-Office
2 Locations
143K-210K Annually
Senior level
143K-210K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead end-to-end delivery of hyperscale data center builds and capacity expansions. Translate capacity forecasts into technical program requirements, manage cross-functional execution with Engineering, Supply Chain, and Operations, mitigate schedule and budget risks, report KPIs to leadership, and establish scalable processes and SLAs for global build teams.
Top Skills: AgileAsanaCooling SystemsCritical PathGpu HardwareJIRANetworkingPower SystemsServer Hardware
Reposted 2 Months AgoSaved
In-Office
2 Locations
134K-179K Annually
Senior level
134K-179K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead end-to-end execution of data center operations programs, owning roadmaps, milestones, and SOPs. Drive hardware logistics, rack integration, and facility readiness, remove bottlenecks, manage program health reporting, risk mitigation, and cross-functional coordination to ensure scalable, reliable infrastructure and deliver data-driven insights to leadership.
Top Skills: AsanaCmmsDcimFacilities Management PlatformsJIRA
Reposted 2 Months AgoSaved
In-Office
2 Locations
99K-132K Annually
Mid level
99K-132K Annually
Mid level
Cloud • Information Technology • Machine Learning
Manage fleet repair and remediation projects for data center hardware: oversee RMA generation and issue resolution, coordinate across fleet engineering, data center technicians, and vendors, analyze ticket and workflow data to identify bottlenecks, produce infrastructure and client-facing performance reports, and lead process improvements and project evaluations to optimize operations.
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