Jobs in Makkah, Saudi Arabia

Apply remote type Remote locations Remote Saudi Arabia Dubai time type Full time posted on Posted 6 Days Ago job requisition id R-043945

The Red Hat EMEA Technology Sales team is looking for an AI Platform Sales Specialist (SSP) to join our team. This position is a highly technical sales support role that will ensure successful Go-To-Market (GTM) execution for Red Hat AI Strategy across your region and support the EMEA Geo. This role requires a deep understanding of the importance of delivering productive outcomes using the Red Hat AI Portfolio, enabling direct sales account team peers and partners to do the same with customers. The ideal candidate will have a background leading development teams in delivering applications to production, consulting, and/or driving sales of both generative and predictive AI technologies. This role requires both customer-facing, front-line developers to CxO and evangelism conversations. Much of this role requires consulting on the GTM with Products and Engineering and mentoring in executing winning sales plays in partnership with Cloud Service Providers, SIs, and 3rd party ISVs.

What you will need:

• 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.

What you will bring:

• 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 the 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.

Preferred Qualifications

• Computer Science or other technical degree with an MBA, emphasizing a strong foundation in technical and business acumen.
• Previous experience as a sales engineer, technical sales, or similar role, highlighting expertise in driving sales and technical conversations in the Data Science AI/ML and Generative AI space.
• Experience working with cloud providers and other 3rd parties for joint GTM, leveraging relationships to drive indirect sales and co-selling opportunities.
• Background in leading development teams in delivering applications to production, consulting, and/or driving sales of Red Hat AI solutions, demonstrating a deep understanding of customer challenges and the ability to propose credible solutions.
• Strong relationships with Cloud Service Provider account teams, executives, and industry partners, with the ability to grow and maintain these relationships to drive co-selling and indirect sales opportunities.
• Technical and/or Sales role experience working directly for hyperscalers or in the partner ecosystem.

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.