AI Sales Specialist

December 3

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Logo of Red Hat

Red Hat

cloud computing • hybrid cloud management • Linux • open source • virtualization

10,000+ employees

Founded 1993

🏢 Enterprise

☁️ SaaS

💰 Corporate Round on 1999-03

Description

• Consult on and enable successful execution of Data Science AI/ML and Generative AI solutions in assigned geo, focusing on Red Hat AI GTM. • Educate customers and stakeholders on the value of Red Hat's Data Science AI/ML and Generative AI offerings, highlighting their applications and benefits. • Lead and enable on hyper-competitive sales situations for the Data Science AI/ML and Generative AI portfolio, leveraging expertise in Predictive Analytics and Generative AI development practices. • Serve as a geo-level bi-directional conduit of GTM for Red Hat AI between sales, products, engineering, marketing, enablement, and customer success, ensuring seamless communication and collaboration. • Work closely with Red Hat AI product teams, providing feedback and identifying gaps in the offering to drive continuous improvement. • Build lasting relationships with cloud providers and other 3rd parties for joint GTM, focusing on Data Science AI/ML and Generative AI solutions. • Interface with regional sales leadership for account planning and GTM, ensuring alignment and effective execution of Red Hat AI sales strategies.

Requirements

• 8+ years of Data Science and/or AI/ML application development practices and architectures. • Subject matter expert in Data Science and Data Engineering concepts, Predictive Analytics, and/or Generative AI development practices • Working knowledge of full stack AI development and deployment tools, including Feature Stores, Vector Databases, Embedding Models, ETL tooling, and modern programming languages/frameworks • Experience with Kubernetes ecosystem, including competing technologies, and Cloud Service Providers with established account relationships • Understanding of DevOps, agile, and similar concepts • Working knowledge of full stack application development and deployment tools, including those of build, deployment, project management, automation, source code management, testing, quality/security, monitoring [APM], and configuration of the same, to deliver applications to production • Executive presence with public speaking skills • Expert Practitioner of the Challenger Sales Model • Entrepreneurial mindset

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