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Specialized Sales Data Platforms & AI Jobs

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Sales Engineer
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United States
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90000.00 - 130000.00 USD / Year
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EdTech Jobs
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Software Engineer II
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United States , Redmond
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100600.00 - 199000.00 USD / Year
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Microsoft Corporation
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AI Focused Strata Domain Consultant
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Japan , Chiyoda, Tokyo
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Palo Alto Networks
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Ai Focused Strata Domain Consultant
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Japan , Chiyoda
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IAG GBS
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Sales Account Executive GTM - Financial Industry
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Pakistan , Karachi
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Teradata
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Enterprise Solutions Engineer
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United States
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189000.00 - 284000.00 USD / Year
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GoFundMe
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Specialized Sales Data Platforms & AI
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Belgium
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Inetum
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Artificial Intelligence Sales Specialist
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Australia , Sydney
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Hewlett Packard Enterprise
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Senior Solution Architect AI & HPC
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Hewlett Packard Enterprise
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Presales Consultant
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India , Bangalore
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Hewlett Packard Enterprise
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Specialized Sales Data Platforms & AI
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Belgium
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Inetum
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Explore specialized sales data platforms & AI jobs, a dynamic and high-impact career path at the intersection of cutting-edge technology and strategic business growth. Professionals in this field are not traditional salespeople; they are trusted technology advisors and strategic partners who guide enterprises through their digital transformation journeys. Their core mission is to architect and sell sophisticated solutions built around data platforms, artificial intelligence, and machine learning, translating complex technical capabilities into tangible business value and competitive advantage for clients. Individuals in these roles typically engage in a consultative sales process. This begins with deeply listening to and analyzing a client's unique business challenges and strategic objectives. They then co-create customized, innovative solutions, often leveraging a technology-agnostic approach to recommend the best-fit data and AI stacks from a range of leading vendors. A significant part of the role involves building and nurturing long-term relationships with key decision-makers, including C-level executives, positioning themselves as indispensable advisors rather than just vendors. This requires constant market engagement: developing a strong professional network, attending industry events, promoting their organization's value proposition, and continuously monitoring technological trends, new developments, and the competitive ecosystem. Common responsibilities for these specialists include conducting thorough research and competitor analysis to shape effective go-to-market strategies, identifying and qualifying new business opportunities, and managing the entire sales cycle from concept to close. They are also pivotal in fostering cross-functional collaboration, working closely with pre-sales engineers, data scientists, delivery teams, and other business units to craft compelling proposals and ensure solution feasibility. Managing a pipeline of service offerings and complex enterprise deals is standard, requiring meticulous attention to detail and project management skills. The typical skill set for these jobs is a powerful blend of business acumen and technological literacy. Candidates generally possess several years of experience in digital or technology sales, with a proven track record of closing enterprise-level deals. A strong foundational knowledge of data platforms (like data lakes, warehouses, and governance tools) and AI/ML concepts is essential to communicate credibly with both technical teams and business stakeholders. Crucially, they must excel at translating technical features into clear business outcomes, such as increased revenue, operational efficiency, or enhanced customer insights. An entrepreneurial, results-driven mindset is paramount, coupled with exceptional communication, negotiation, and presentation skills. The ability to thrive in a fast-paced, multi-focus environment, handle stress, and proactively drive new business development are hallmarks of success in these challenging and rewarding roles. For those passionate about shaping the future of business with intelligent technology, specialized sales data platforms & AI jobs offer a frontline opportunity to drive innovation and build the digital enterprises of tomorrow.

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