GPU as a Service – Acquisition / New Pursuits Sales Executive

This is a fully remote position, open to applicants in United States.

📋 Description

• Generate new demand and transform qualified enterprise AI, training, inference, HPC, and accelerated-compute opportunities into profitable GPUaaS bookings.

• Manage the complete pursuit lifecycle, from identifying target accounts and outbound prospecting to qualification, discovery, solution orchestration, commercial strategy, proposal, negotiation, contracting, booking, and handoff.

• Hold responsibility for a specified GPUaaS bookings quota and achieve profitable new bookings while adhering to approved pricing, capacity, contractual, and gross-margin guidelines.

• Develop and sustain prioritized target-account and workload lists.

• Create opportunities through outbound pursuits, executive networks, marketing demand, technology partnerships, channel/referral partners, ecosystem relationships, and customer introductions.

• Assess opportunities based on workload, GPU platform, cluster size, geographic location, capacity timing, term, commercial value, decision-making processes, competition, funding, and urgency.

• Lead customer discovery sessions and craft unique GPUaaS value propositions.

• Coordinate with Solution Architecture, Product, Engineering, Capacity/Operations, Delivery, Finance, Legal, Security, executive sponsors, and ecosystem partners.

• Formulate and maintain written close plans for significant pursuits.

• Oversee the proposal, bid/RFP, pricing, negotiation, and contracting strategies.

• Establish multithreaded relationships across economic, technical, procurement, finance, legal, infrastructure/AI, and executive stakeholders.

• Keep accurate CRM data and maintain forecasting discipline.

• Review the pipeline weekly and develop new pipeline initiatives when coverage or conversion is lacking.

• Ensure a smooth transition of booked business to implementation/delivery and post-sale ownership.

• Gather win/loss insights and convey customer, competitive, pricing, product, capacity, and contracting themes into the GPUaaS operating model.

• Function as a senior P5 individual contributor without direct management responsibilities.

• Provide field intelligence to the GPUaaS go-to-market strategy.

⛳️ Requirements

• 12–14 years of pertinent enterprise technology sales experience.

• Proven track record of personally originating and closing complex, high-value new-logo enterprise technology transactions as an individual contributor.

• Strongly preferred experience in selling cloud infrastructure, data-center services, AI infrastructure, GPU/accelerated compute, HPC, managed infrastructure, or other similarly complex consumption/capacity-based technology.

• Demonstrated capability to build a pipeline independently, rather than solely relying on inherited accounts or inbound opportunities.

• Experience in leading complex cross-functional pursuits that involve technical validation, capacity/operations, finance, legal, procurement, security, and executive stakeholders.

• Preferred experience in competing against hyperscalers, GPU/neocloud providers, infrastructure providers, or other enterprise technology alternatives.

• Expert-level skills in 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.

• Familiarity with 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 guidelines.

• 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.

• A Bachelor's degree is preferred in business, technology, engineering, or a related field; equivalent relevant experience may be accepted.

• Relevant cloud, AI, infrastructure, or sales certifications are advantageous but not mandatory.

• Willingness to travel domestically and internationally as required; travel may surpass 50% during major pursuits.

🏝️ Benefits

• Annual bonus or incentives.

• Equity awards.

• Employee Stock Purchase Plan (ESPP).

• Comprehensive benefits package at Rackspace.

• Commitment to equal employment opportunity.

• Disability or special-need accommodations.