Owns and develops executive-level customer relationships, partnering with business and technology leaders to identify critical operational challenges and position Palantir as a platform for solving complex, cross-functional problems. Works closely with Palantir, hyperscalers, and internal subject matter experts to design and deliver end-to-end solutions that move from concept to production. Leads consultative, problem-first sales engagements focused on unlocking value through use-case driven deployments of Palantir technology—ranging from supply chain optimization and operational efficiency to AI-enabled decision support and real-time analytics. Responsible for the full sales lifecycle, including pipeline creation, executive engagement, solution development, business case construction, and deal closure. Develops targeted hunting strategies across net-new logos and high-value accounts, particularly where organizations are undergoing digital transformation, data modernization, or AI adoption initiatives. Engages C-suite stakeholders (CIO, CTO, COO, CFO, and business unit leaders) to translate Palantir capabilities into tangible business outcomes such as cost reduction, revenue acceleration, improved operational performance, and enhanced customer experience. Senior-level roles are responsible for originating and closing complex, multi-million-dollar Palantir-led transformation programs, expanding Rackspace’s footprint, and establishing long-term strategic partnerships centered around data and AI. Recognized as a thought leader in enterprise data platforms, AI-driven operations, and Palantir ecosystem capabilities. Proactively identifies and shapes new opportunities where Palantir platforms can drive enterprise-wide transformation. Contributes to go-to-market strategy and solution development specific to Palantir-led offerings and industry use cases. Drives executive-level conversations around AI adoption, operational transformation, and data-driven decision-making. Progression to this level is based on demonstrated success in originating and closing complex, high-value deals centered on data and AI platforms.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees