Brand Sales Specialist

Introduction
At IBM Technical Solution Architects work to understand needs and then create complex high-quality solutions that make meaningful impact. You’ll be responsible for overall leadership and delivery of the solutions from requirement gathering through implementation. You’ll use your in-depth knowledge of leading-edge products and technologies along with industry and business skills to influence outcomes.

Your Role and Responsibilities

• Consult on and enable successful execution of RHOAI GTM
• Be the virtual leader for RHOAI sales tactics.
• Educate customers and stakeholders alike on the value of Red Hat’s RHOAI solution
• Lead and enable on hyper-competitive sales situations for RHOAI
• Build lasting relationships with cloud providers ISVs and other 3rd parties for joint GTM
• Interface with regional sales leadership for account planning and GTM

Required Technical and Professional Expertise

• Computer Science or other technical degree w/ MBA
• Previous experience as a sales engineer technical sales or similar role (preferably Technical and/or Sales role experience working directly for hyperscalers or in partner ecosystem)
• 5+ years of Data Science/AI application development experience including leadership roles
• 2+ years of consulting experience with major SI
• Product management or ownership role
• Extensive community brand in circles such as AI User Group or other AI Communities
• Ability to facilitate demonstrations of Red Hat AI solutions and products and cloud services unassisted.
• Industry vertical experience with Data Science projects. IE – expertise in FSI medical defense and intelligence verticals
• Recognized thought leadership in AI/MLOps
• Subject matter expertise and experience in AI applications (e.g. deep learning LLM NLP computer vision or pattern recognition).
• Experience in statistical programming language (e.g. Python) applied machine learning techniques and using OSS frameworks (e.g. TensorFlow PyTorch).
• Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions (e.g. Ansible).
• Experience delivering technical presentations and leading business value sessions.
• Experience in AI systems design with the ability to architect and explain data pipelines ML pipelines and ML training and serving approaches.
• Executive presence with public speaking skills
• Expert Practitioner of the Challenger Sales Model
• Entrepreneurial mindset

Preferred Technical and Professional Expertise

• None