Principal Sales Consultant (m/w/d)

The Revenue Operations Solution Center is a globally organized pre-sales deal support group of experts whose mission is to provide ultimate expertise to focus on customer’s business requirement and help win Sales opportunities or accelerate Cloud consumption. 

Using the RevOps Solution Center, customers can architect, customize and test their solutions with Oracle Cloud, Cloud@Customer, On Premises systems and Hybrid and Multi-Cloud scenarios in a secure, scalable and interoperable environment for all deployment models.

If you are interested in highly technical hands-on challenges, in delivering the following customer facing activities with real life scenario:

• You have enthusiasm, energy and ability to evangelize and expand the footprint of Oracle cloud platform and services with initiatives like Data Science, AI, Mobility, Digital and Cloud. 
• You have great communication skills and can interact at all levels (CIO, CTO, Product Engineering, IT Architects and developers). 
• Engage with customers and position Oracle's strategic propositions to their best advantage through technical presentations, white board/round table discussions, 'hands-on' technical product workshops and Proof Of Concepts or performance tests.

This job is for you.

As a Principal Sales Consultant you will be responsible as the expert for formulating and leading pre-sales technical / functional support activity to prospective clients and customers while ensuring customer satisfaction. You will be a technical resource and mentor for less experienced Sales Consultants. Focus on large or complex sales opportunities that need creative and complex solutions. Develop productivity tools and training for other Sales Consultants. Develop and deliver outstanding Oracle presentations and demonstrations. Lead any and all aspects of the technical sales process. Advise internal and external clients on overall architect solutions.

Design, build and deliver customer demonstrations and technology workshops to articulate, update and evangelize Oracle based technical and product solutions

• Enthusiasm, energy and ability to evangelize and expanded the footprint of Oracle cloud platform and Services with initiatives like Data Science, AI, Mobility, Digital and Cloud.
• Participate in or lead customer specific Proof of Concepts or performance tests
• Articulate the credibility of Oracle's AI, Data Science and Machine Learning Technology products and solutions, from technical to board level, with a particular focus on key decision makers in the customers' organization
• Ability to deliver interactively, without a pre-defined script, & answering questions & demonstrating ‘how’ an issue can be solved
• Ability to understand the competitive landscape, recognize and communicate opportunities to up-sell based on product expertise 
• A thorough understanding of relevant Technical Architectures, their applicability to Oracle's customers, combined their comparative advantages/disadvantages.
• Liaise with Oracle eco-system :  
  • Account Teams and Sales Consulting to understand customer needs & pains
  • Product teams to learn and master new product features, absorb new technologies
  • Contribute to Sales Consulting communities and cross lob co-operation 

EXPERIENCE & EXPERTISE REQUIREMENTS

We expect at least 5-7 years Oracle deep technical hands-on experience, expertise and skills,  in three or more of the following areas. 
AI Infrastructure experience and experience with LLMs is a MUST

AI Infrastructure Design: Lead the architecture and implementation of AI and HPC infrastructure, including the use of GPUs/TPUs, high-performance networking, and scalable storage solutions to support GenAI/AI/ML workloads 

AI Deployment: Experience in deploying large models in production on public clouds (OCI, AWS, Azure, GCP) and hybrid cloud environments, including the use of microservices and containerization (Docker, Kubernetes) to ensure smooth deployment, scaling, and monitoring of AI/ML models in production

Large Language Models (LLMs): Expertise in working with closed and/or open-source LLMs and understanding the full AI life cycle, including training, fine-tuning, and deploying these models for inference in production environments.

Performance Optimization: Drive the optimization of AI infrastructure and applications on Oracle OCI, focusing on efficiency improvements in computational speed and resource management.

Security & Compliance<