Forward Deployments Program Manager

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $150k - $200k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📋 Program Manager

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hydra Host

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔧 Hardware

🏢 Enterprise

🤖 Artificial Intelligence

💰 $10M Seed Round on 2022-04

Hardware • Enterprise • Artificial Intelligence

Hydra Host is a provider of high-performance computing solutions, offering dedicated bare metal GPU server access optimized for AI and HPC workloads. Their platform allows users to access and rent top-tier GPUs globally, providing unparalleled performance, security, and customization. Hydra Host's infrastructure includes a marketplace, known as Brokkr, that offers a wide array of GPU configurations and solutions tailored for mission-critical applications such as AI, big data, and machine learning. Through their robust, secure, and scalable solutions, Hydra Host ensures customers enjoy full control over their server environments, with options for scalability and future-readiness. The company's offerings are trusted by leading firms seeking efficient and innovative computing solutions.

📋 Description

• 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

• 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