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Hydra Host

Forward Deployments Program Manager

Hydra Host

. Own customer deployment programs from kickoff through production launch .

Posted 10/13/2026full-timeRemote • United StatesSeniorLead💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in managing large-scale infrastructure deployments, including GPU and cloud environments, while ensuring effective communication and collaboration across technical and business teams. Proven ability to establish deployment methodologies, track KPIs, and improve operational frameworks for scalable customer onboarding.

Highest-signal resume keywords
Program ManagementDeployment ManagementInfrastructure DeliveryData Center OperationsGPU Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Deployment PlanningRisk ManagementCapacity PlanningOperational MetricsKubernetesBare Metal ProvisioningAI/ML InfrastructureNetworking FundamentalsCloud PlatformsInfrastructure Lifecycle Management
Soft Skills
Organizational SkillsCommunication SkillsLeadership Skills
Tools & Technologies
NVIDIA GPUAI InfrastructureNeoCloudHyperscalerColocation Provider
Certifications & Qualifications
PMPPgMPAgileScrum
Industry Keywords
Infrastructure DeploymentCustomer OnboardingDeployment MethodologiesOperational FrameworksStakeholder Coordination

Tech Stack

Tools & technologies
CloudKubernetesPMP

About the role

Key responsibilities & impact
  • Own customer deployment programs from kickoff through production launch
  • Create and manage deployment plans, milestones, dependencies, and risk registers
  • Drive accountability across internal teams, infrastructure partners, and customers
  • Coordinate installation, provisioning, testing, validation, and customer handoff activities
  • Lead deployment readiness reviews and executive status reporting
  • Partner with engineering, operations, networking, and support teams
  • Coordinate GPU cluster deployments, network turn-ups, rack integrations, and infrastructure provisioning
  • Track capacity availability across NeoCloud and AI Factory partners
  • Serve as the primary deployment contact for customers
  • Lead kickoff meetings and deployment status reviews
  • Manage customer expectations, escalate blockers, and drive rapid resolution
  • Ensure smooth transition from deployment to operations and support teams
  • Establish repeatable deployment methodologies and standards
  • Define deployment KPIs, reporting frameworks, and operational metrics
  • Improve deployment workflows, tooling, documentation, and governance
  • Develop scalable customer-onboarding playbooks
  • Coordinate cross-functional activities across infrastructure engineering, network engineering, data center operations, customer success, technical support, capacity planning, vendor management, and executive leadership
  • Reduce deployment timelines and improve predictability
  • Launch multiple customer environments simultaneously
  • Improve deployment visibility and create operational frameworks for scalable deployments

Requirements

What you’ll need
  • 10+ years of program management, deployment management, technical project management, or infrastructure delivery experience
  • Experience managing large-scale infrastructure, cloud, networking, or data center deployments
  • Strong understanding of data center operations, GPU infrastructure, cloud platforms, networking fundamentals, and infrastructure lifecycle management
  • Experience coordinating multiple stakeholders across technical and business organizations
  • Proven ability to manage competing priorities in fast-moving environments
  • Exceptional organizational, communication, and leadership skills
  • Experience building deployment processes and operational frameworks from the ground up
  • Preferred: Experience working for a NeoCloud, GPU cloud provider, hyperscaler, colocation provider, or AI infrastructure company
  • Preferred: Familiarity with NVIDIA GPU environments and AI infrastructure deployments
  • Preferred: Understanding of high-performance networking, storage infrastructure, Kubernetes, bare metal provisioning, and AI/ML infrastructure
  • Preferred: PMP, PgMP, Agile, Scrum, or equivalent certifications
  • Preferred: Experience supporting enterprise or hyperscale infrastructure customers