Private Cloud AI Sales Specialist

• Own and drive the

across New England, the Mid-Atlantic, and the Carolinas, with responsibility for pipeline creation, opportunity development, forecasting, and revenue attainment.

• Proactively identify and develop

through prospecting, account planning, executive engagement, workshops, customer events, partner activities, and targeted sales campaigns.

• Partner closely with Account Managers and extended sales teams to develop AI strategies within existing accounts while also identifying and landing new customers.
• Lead customer conversations around Generative AI, agentic AI, machine learning, AI infrastructure, accelerated computing, and private/hybrid AI architectures .
• Help customers evaluate where AI workloads should run across private cloud, public cloud, colocation, and hybrid environments based on performance, security, governance, data gravity, and economics.
• Develop a strong understanding of customer AI initiatives, use cases, data environments, application requirements, and business priorities to create differentiated solutions.
• Engage with customers from technical practitioners through

.

• Translate technical capabilities into clear business outcomes including faster time to value, improved developer productivity, greater control of sensitive data, predictable AI economics, and lower total cost of ownership.
• Lead complex sales pursuits from initial discovery through technical validation, business-case development, solution design, commercial negotiation, and close.
• Coordinate internal resources including AI architects, solution engineers, services, finance, product teams, and executive sponsors to advance strategic opportunities.
• Work with customers to develop

, including infrastructure utilization, GPU consumption, token economics, and workload growth.

• Drive customer workshops, demonstrations, proof-of-concepts, hosted trials, benchmarks, and other technical validation activities when appropriate.
• Develop and maintain relationships with strategic partners across the AI ecosystem including

.

• Maintain strong competitive awareness across AI infrastructure, GPU platforms, AI software, public cloud AI services, and emerging AI platforms.
• Accurately manage pipeline, opportunity progression, forecasting, and sales activity within the company's CRM and sales processes.
• Maintain current knowledge of rapidly evolving AI technologies, models, architectures, and market trends and translate those developments into actionable customer conversations.
• Act as an AI subject-matter expert and thought leader for customers, partners, and internal sales teams across the assigned territory.

• Bachelor's degree or equivalent directly related professional experience.
• Typically

, preferably involving complex infrastructure, cloud, software, data, AI, or platform solutions.

• Demonstrated history of meeting or exceeding sales quotas and successfully closing complex enterprise opportunities.
• Proven experience

, rather than relying exclusively on existing pipeline.

• Experience working collaboratively with Enterprise Account Managers in a specialist or overlay sales model.
• Experience engaging senior executives and technical decision-makers within mid-market and large enterprise organizations.
• Experience selling

.

• Experience developing business cases and positioning technology based on business value, economics, risk reduction, and strategic outcomes.
• Experience navigating complex, multi-stakeholder enterprise sales cycles.

• Strong understanding of the rapidly evolving

.

• Understanding of AI infrastructure concepts including

.

• Familiarity with the AI/ML lifecycle including model development, training, fine-tuning, inference, deployment, monitoring, and governance.
• Working knowledge of MLOps, LLMOps, model serving, model routing/gateways, Kubernetes, containers, APIs, Tokenomics, and modern AI application architectures .
• Understanding of private cloud, public cloud, and hybrid-cloud architectures and the tradeoffs associated with performance, security, governance, sovereignty, and cost.
• Ability to discuss AI economics, including public-cloud consumption models, infrastructure utilization, GPU requirements, and the potential business case for private AI.
• Strong understanding of enterprise security, governance, data privacy, and compliance considerations associated with AI adoption.
• Knowledge of the competitive AI ecosystem, including infrastructure vendors, cloud providers, AI platforms, model providers, and emerging AI software companies.
• Ability to translate highly technical concepts into clear business value for executive audiences.
• Strong discovery, consultative selling, presentation, negotiation, and closing skills.
• Ability to build consensus across multiple customer stakeholders and manage complex sales pursuits.
• Strong account-planning, pipeline-management, and forecasting discipline.
• Ability to operate effectively in a fast-moving market where technologies, competitors, customer requirements, and business models are evolving rapidly.
• High level of curiosity and a demonstrated commitment to continuously learning about emerging AI technologies and their implications for enterprise customers.