
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.
🔥 1 minute ago
🇺🇸 United States – Remote
💵 $56.2k - $98.9k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
💵 Sales Development (SDR)
🚫👨🎓 No degree required
👻 Ghost score 0%
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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.
• Generate new GPUaaS demand through outbound calling, email, LinkedIn/social outreach, targeted campaigns, events, partner-supplied leads and other approved prospecting motions • Respond rapidly to inbound GPUaaS inquiries and campaign responses; research accounts and assess target-customer and workload fit • Conduct first-level discovery covering use case, business problem, AI/HPC workload, current environment, expected GPU demand, timing, geography/data residency, buying process and urgency • Identify and engage relevant buying groups, including AI/ML, infrastructure/platform, CTO/CIO, engineering, procurement and other stakeholders • Qualify opportunities using the GPUaaS qualification framework, capturing workload, accelerator preference, scale, timing, geography, term, budget, decision process, competition and next action • Disqualify or nurture opportunities that do not meet minimum criteria • Create and maintain leads, contacts, accounts and opportunities in Salesforce with complete activity history and qualification data • Own Salesforce hygiene, including duplicate prevention, source attribution, stages/status, contact roles and stale-lead closure or recycling • Prepare written handoffs and schedule live handoffs to GPUaaS Acquisition / New Pursuits sellers; remain engaged through seller acceptance or rejection • Support early-stage seller follow-up through research, additional contacts, meeting coordination, stakeholder mapping and targeted outreach • Build target-account and contact lists with Sales, Marketing, AMD/NVIDIA business development and partners • Execute account-based prospecting plays against priority segments and named accounts • Use conversion, rejection and win/loss feedback to improve messaging, qualification, target profiles and campaign effectiveness • Participate in weekly pipeline and lead inspection, reporting activity, qualification status, handoffs, aging, conversion and blockers • Operate independently at a high activity cadence while maintaining qualification standards and commercial judgment • Partner with GPUaaS Acquisition Sales, Business Development, Marketing, Partner/Alliance teams, Sales Engineering and Sales Operations
• US-based individual contributor role • Working knowledge of GPUaaS, accelerated computing and common AI/ML workload patterns • Working understanding of the GPU ecosystem, including AMD, NVIDIA, OEMs, cloud/GPU infrastructure providers and relevant channel/technology partners • Understanding of B2B technology prospecting, lead qualification, account research, buying committees, pipeline stages and opportunity handoff practices • Working knowledge of Salesforce lead/contact/account/opportunity management • Ability to understand consumption, term, estimated opportunity value, capacity, deployment timing and deal economics in GPUaaS • Outbound prospecting and social selling • Discovery and lead qualification • Active listening and objection handling • Executive and technical buyer communication • Account/contact research and stakeholder mapping • Salesforce / CRM discipline • Pipeline and lead management • Written communication and concise handoff documentation • Data analysis and dashboard interpretation • Time management and high-velocity follow-up • Bachelor's degree preferred in business, marketing, technology or related field • 2-5 years of B2B technology sales development, inside sales, demand generation or related customer-facing experience preferred • Experience prospecting into enterprise or upper-commercial technology buyers strongly preferred • Cloud, data center, infrastructure, AI/ML, GPU/accelerated-compute or related technology experience preferred • Demonstrated history of meeting activity and opportunity/pipeline goals while maintaining strong CRM discipline • Limited travel expected, generally less than 15%
• Annual bonus or incentives • Equity awards • Employee Stock Purchase Plan (ESPP) • Limited travel for priority customer/partner events, field enablement or team meetings
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