
5001 - 10000 employees
Founded 1998
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
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5001 - 10000 employees
Founded 1998
💼 Consulting
📦 Logistics
🤖 Artificial Intelligence
Consulting • Logistics • Artificial Intelligence
Rackspace Technology is a global managed cloud services provider that designs, builds, migrates and operates multicloud, hybrid and private cloud environments for enterprises. It offers consulting, professional and managed services across cloud infrastructure, application modernization, data platforms, AI/ML (Foundry of AI/FAIR), and cybersecurity, along with managed hosting, colocation and platform integrations with major hyperscalers. Rackspace serves regulated and mission-critical industries with a focus on security, compliance, cost optimization and operational reliability.
• Create net-new demand and convert qualified enterprise AI, training, inference, HPC, and accelerated-compute opportunities into profitable GPUaaS bookings • Own the full pursuit lifecycle from target-account identification and outbound prospecting through qualification, discovery, solution orchestration, commercial strategy, proposal, negotiation, contracting, booking, and handoff • Own an assigned GPUaaS bookings quota and deliver profitable net-new bookings within approved pricing, capacity, contractual, and gross-margin guardrails • Build and maintain prioritized target-account and workload lists • Generate opportunities through outbound pursuit, executive networks, marketing demand, technology partners, channel/referral partners, ecosystem relationships, and customer introductions • Qualify opportunities across workload, GPU platform, cluster size, geography, capacity timing, term, commercial value, decision process, competition, funding, and urgency • Lead customer discovery and develop differentiated GPUaaS value propositions • Orchestrate Solution Architecture, Product, Engineering, Capacity/Operations, Delivery, Finance, Legal, Security, executive sponsors, and ecosystem partners • Develop and maintain written close plans for material pursuits • Own proposal, bid/RFP, pricing, negotiation, and contracting strategy • Create multithreaded relationships across economic, technical, procurement, finance, legal, infrastructure/AI, and executive stakeholders • Maintain accurate CRM data and forecast discipline • Inspect pipeline weekly and create new pipeline when coverage or conversion is insufficient • Ensure clean transition of booked business to implementation/delivery and post-sale ownership • Capture win/loss insights and feed customer, competitive, pricing, product, capacity, and contracting themes into the GPUaaS operating model • Operate as a senior P5 individual contributor without people-management responsibility • Contribute field intelligence to GPUaaS go-to-market strategy
• 12–14 years of relevant enterprise technology sales experience • Demonstrated record of personally originating and closing complex, material new-logo enterprise technology transactions as an individual contributor • Experience selling cloud infrastructure, data-center services, AI infrastructure, GPU/accelerated compute, HPC, managed infrastructure, or similarly complex consumption/capacity-based technology strongly preferred • Demonstrated ability to build pipeline rather than relying solely on inherited accounts or inbound opportunities • Experience leading complex cross-functional pursuits involving technical validation, capacity/operations, finance, legal, procurement, security, and executive stakeholders • Experience competing against hyperscalers, GPU/neocloud providers, infrastructure providers, or other enterprise technology alternatives preferred • Expert-level enterprise acquisition selling and complex pursuit management • Strong working knowledge of GPUaaS, accelerated computing, AI/ML training and inference, HPC, cloud/data-center infrastructure, and enterprise AI infrastructure purchasing drivers • Working knowledge of GPU platforms and ecosystem participants such as AMD, NVIDIA, OEM/server vendors, ISVs, integrators, channel partners, cloud providers, and GPU/neocloud providers • Strong commercial and financial acumen, including bookings, ACV/TCV, contract term, consumption/commit constructs, pricing, sold gross margin, capacity economics, deal risk, and approval guardrails • Expert knowledge of opportunity qualification, pipeline management, CRM discipline, forecasting, account/pursuit planning, and competitive strategy • Understanding of data-center capacity, deployment timing, power/cooling constraints, networking, storage, software stack, and service-readiness considerations • Bachelor's degree preferred in business, technology, engineering, or a related field; equivalent relevant experience may substitute • Relevant cloud, AI, infrastructure, or sales certifications are a plus but not required • Domestic and international travel as required; travel may exceed 50% during major pursuits
• Annual bonus or incentives • Equity awards • Employee Stock Purchase Plan (ESPP) • Benefits package at Rackspace • Equal employment opportunity • Disability or special-need accommodation
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